diff --git a/examples/agents/README.md b/examples/agents/README.md
new file mode 100644
index 00000000..413db363
--- /dev/null
+++ b/examples/agents/README.md
@@ -0,0 +1,141 @@
+# MCP Agents Example
+
+This example demonstrates an agent-based architecture using MCP (Model Context Protocol). The example consists of three components:
+
+1. **Project Analyst Agent** - An MCP server that provides tools for analyzing project issues and priorities
+2. **Personal Assistant Agent** - An MCP server that acts as a client to other agents while providing its own tools
+3. **Chat CLI** - A command-line interface that connects to the Personal Assistant agent
+
+## Architecture
+
+This example demonstrates a layered architecture of MCP agents where each component can act as both a client and a server.
+
+```mermaid
+graph LR
+    User[User] -->|Interacts with| CLI[Chat CLI]
+    CLI -->|Connects to| PA[Personal Assistant Agent]
+    PA -->|Connects to| PRA[Project Analyst Agent]
+    
+    classDef component fill:#f9f,stroke:#333,stroke-width:2px;
+    classDef user fill:#bbf,stroke:#333,stroke-width:2px;
+    
+    class CLI,PA,PRA component;
+    class User user;
+```
+
+### Elicitation Flow
+
+When a tool needs additional information from the user, the elicitation request flows through the chain:
+
+```mermaid
+sequenceDiagram
+    participant User
+    participant CLI as Chat CLI
+    participant PA as Personal Assistant
+    participant PRA as Project Analyst
+    
+    User->>CLI: "Help prioritize project issues"
+    CLI->>PA: call_tool("chat", {message})
+    
+    PA-->>CLI: ElicitRequest(message, schema)
+    Note right of PA: Need project name from user
+    
+    CLI-->>User: Display prompt & collect input
+    User-->>CLI: Provide project name
+    
+    CLI-->>PA: ElicitResult(response)
+    
+    PA->>PRA: call_tool("analyze_issues", {project})
+    
+    PRA-->>PA: ElicitRequest(message, schema)
+    Note right of PRA: Ask if okay to proceed
+    
+    Note over PA: Handle internally: auto-confirm
+    
+    PA-->>PRA: ElicitResult({proceed: true})
+    
+    PRA-->>PA: ToolResult(content)
+    PA-->>CLI: ToolResult(content)
+    CLI-->>User: Display result
+```
+
+## Installation and Usage
+
+```bash
+uv pip install -e .
+cd examples/agents/chat-cli
+uv run mcp-chat-cli --log-level=DEBUG
+```
+
+This will start the entire agent chain. The Chat CLI will launch the Personal Assistant, which will in turn launch the Project Analyst.
+
+## Example Conversation
+
+```
+You: Prioritize work on my project
+2025-05-06 13:39:41,672 - INFO - Processing request of type CallToolRequest
+
+[Agent is asking]: Which project would you like information about?
+Please provide the requested information:
+project_name: PythonSDK
+issue_count (number): 100
+2025-05-06 13:39:47,540 - INFO - Processing request of type CallToolRequest
+2025-05-06 13:39:47,544 - INFO - Received elicitation request: 100 issues found. Would you like to proceed?
+2025-05-06 13:39:47,545 - INFO - Elicitation response: {'proceed': True}
+
+Assistant: Here's my analysis of project 'PythonSDK':
+
+# Project Issues Analysis for PythonSDK
+
+## Summary
+- Total issues analyzed: 100
+- Open issues: 69
+- Closed issues: 31
+
+## Issues by Priority
+- medium: 37
+- high: 30
+- low: 17
+- critical: 16
+
+## Issues by Type
+- improvement: 24
+- feature: 20
+- documentation: 14
+- task: 21
+- bug: 21
+
+## Top Open Issues
+- #1: Improvement for PythonSDK component 5 (Priority: medium)
+- #2: Feature for PythonSDK component 5 (Priority: high)
+- #3: Documentation for PythonSDK component 2 (Priority: high)
+- #4: Task for PythonSDK component 1 (Priority: medium)
+- #5: Improvement for PythonSDK component 5 (Priority: high)
+
+## Recommended Next Steps
+1. Address high priority issues first
+2. Review issues with dependencies
+3. Re-estimate effort for any issues that have been open for a long time
+
+You: 
+```
+
+## Features Demonstrated
+
+This example demonstrates several key MCP features:
+
+1. **Elicitation** - Agents can request information from users (or other agents) during tool execution
+2. **Progress Reporting** - Agents can report progress during long-running operations
+3. **Layered Architecture** - Agents can be both MCP servers and clients
+4. **Tool Delegation** - Agents can delegate tasks to other specialized agents
+5. **Agent Communication over Elicitation** - Agents can delegate tasks to other specialized agents
+
+## Implementation Details
+
+Each component is implemented using Python with the MCP SDK:
+
+- **Project Analyst Agent**: Implements a tool that analyzes project issues and can request specific details through elicitation
+- **Personal Assistant Agent**: Acts as both a client (to the Project Analyst) and a server (to the Chat CLI)
+- **Chat CLI**: Provides a simple text interface and handles elicitation requests by prompting the user
+
+All communication happens using the MCP protocol over stdio transport, demonstrating how agents can be composed into more complex systems.
\ No newline at end of file
diff --git a/examples/agents/chat-cli/mcp_chat_cli/__init__.py b/examples/agents/chat-cli/mcp_chat_cli/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/examples/agents/chat-cli/mcp_chat_cli/cli.py b/examples/agents/chat-cli/mcp_chat_cli/cli.py
new file mode 100644
index 00000000..cc06eadf
--- /dev/null
+++ b/examples/agents/chat-cli/mcp_chat_cli/cli.py
@@ -0,0 +1,284 @@
+"""
+Chat CLI - A simple command-line interface for interacting with MCP agents.
+"""
+
+import anyio
+import json
+import logging
+import os
+import sys
+from contextlib import AsyncExitStack
+
+import click
+from mcp import ClientSession, StdioServerParameters
+from mcp.client.stdio import stdio_client
+from mcp.types import ElicitRequestParams, ElicitResult, TextContent
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+)
+logger = logging.getLogger(__name__)
+
+
+class ChatCLI:
+    """
+    A command-line interface for interacting with MCP agents.
+    """
+
+    def __init__(self, servers_config_path: str) -> None:
+        """
+        Initialize the CLI with configuration for servers it can connect to.
+
+        Args:
+            servers_config_path: Path to the servers configuration JSON file
+        """
+        self.servers_config_path = servers_config_path
+        self.session: ClientSession | None = None
+        self.exit_stack = AsyncExitStack()
+
+    async def load_config(self) -> None:
+        """Load the servers configuration from JSON file."""
+        with open(self.servers_config_path, "r") as f:
+            self.config = json.load(f)
+
+    async def connect(self) -> None:
+        """Connect to the configured MCP server."""
+        if not hasattr(self, "config"):
+            await self.load_config()
+
+        server_config = self.config["mcpServer"]
+
+        try:
+            logger.info(f"Connecting to MCP server: {server_config['name']}")
+
+            command = server_config["command"]
+            args = server_config.get("args", [])
+            env = (
+                {**os.environ, **server_config.get("env", {})}
+                if server_config.get("env")
+                else None
+            )
+
+            server_params = StdioServerParameters(
+                command=command,
+                args=args,
+                env=env,
+            )
+
+            stdio_transport = await self.exit_stack.enter_async_context(
+                stdio_client(server_params)
+            )
+            read, write = stdio_transport
+
+            # Register elicitation handler
+            async def handle_elicitation(context, params):
+                """Handle elicitation requests from the server."""
+                return await self.handle_elicitation(params)
+
+            self.session = await self.exit_stack.enter_async_context(
+                ClientSession(read, write, elicitation_callback=handle_elicitation)
+            )
+            await self.session.initialize()
+
+            logger.info(f"Connected to MCP server: {server_config['name']}")
+
+        except Exception as e:
+            logger.error(f"Failed to connect to MCP server: {e}")
+            raise
+
+    async def handle_elicitation(self, params: ElicitRequestParams) -> ElicitResult:
+        """
+        Handle elicitation requests from the server.
+
+        Args:
+            params: The elicitation request parameters
+
+        Returns:
+            The elicitation result with user's response
+        """
+        print(f"\n[Agent is asking]: {params.message}")
+        print("Please provide the requested information:")
+
+        # Simple schema handling for demo purposes
+        response = {}
+        schema = params.requestedSchema
+
+        if schema.get("type") == "object" and "properties" in schema:
+            for prop_name, prop_schema in schema["properties"].items():
+                prop_type = prop_schema.get("type", "string")
+                required = prop_name in schema.get("required", [])
+
+                if prop_type == "boolean":
+                    # For boolean, ask for yes/no
+                    while True:
+                        value = input(f"{prop_name} (yes/no): ").lower()
+                        if value in ["yes", "y"]:
+                            response[prop_name] = True
+                            break
+                        elif value in ["no", "n"]:
+                            response[prop_name] = False
+                            break
+                        elif not required:
+                            break
+                        else:
+                            print("Please enter 'yes' or 'no'")
+
+                elif prop_type == "integer":
+                    # For integer, parse and validate
+                    while True:
+                        value = input(f"{prop_name} (number): ")
+                        if not value and not required:
+                            break
+                        try:
+                            response[prop_name] = int(value)
+                            break
+                        except ValueError:
+                            print("Please enter a valid number")
+
+                else:  # string or other types default to string
+                    while True:
+                        value = input(f"{prop_name}: ")
+                        if value or not required:
+                            if value:
+                                response[prop_name] = value
+                            break
+                        else:
+                            print(f"{prop_name} is required")
+
+        return ElicitResult(content=response)
+
+    async def list_tools(self) -> None:
+        """List all available tools from the connected server."""
+        if not self.session:
+            raise RuntimeError("Not connected to any server")
+
+        result = await self.session.list_tools()
+
+        print("\nAvailable tools:")
+        for tool in result.tools:
+            print(f"\n- {tool.name}: {tool.description}")
+
+            if "properties" in tool.inputSchema:
+                print("  Arguments:")
+                for arg_name, arg_info in tool.inputSchema["properties"].items():
+                    required = arg_name in tool.inputSchema.get("required", [])
+                    arg_desc = f"    - {arg_name}: {arg_info.get('description', 'No description')}"
+                    if required:
+                        arg_desc += " (required)"
+                    print(arg_desc)
+
+    async def chat(self) -> None:
+        """Start a chat session with the connected server."""
+        logger.info("Starting chat session")
+
+        if not self.session:
+            raise RuntimeError("Not connected to any server")
+
+        try:
+            # Find the chat tool
+            result = await self.session.list_tools()
+            chat_tool = None
+
+            for tool in result.tools:
+                if tool.name == "chat":
+                    chat_tool = tool
+                    break
+
+            if not chat_tool:
+                print("Chat tool not found. Available tools:")
+                for tool in result.tools:
+                    print(f"- {tool.name}")
+                return
+
+            print("\nStarting chat session. Type 'exit' or 'quit' to end.")
+            print("Type 'tools' to list available tools.\n")
+
+            while True:
+                try:
+                    user_input = input("You: ").strip()
+
+                    if user_input.lower() in ["quit", "exit"]:
+                        print("Exiting chat...")
+                        break
+
+                    if user_input.lower() == "tools":
+                        await self.list_tools()
+                        continue
+
+                    if not user_input:
+                        continue
+
+                    # Call the chat tool
+                    result = await self.session.call_tool(
+                        "chat", {"message": user_input}
+                    )
+
+                    # Extract text content from the result
+                    if result.content and isinstance(result.content[0], TextContent):
+                        print(f"\nAssistant: {result.content[0].text}")
+                    else:
+                        print("\nAssistant: [No response]")
+
+                except KeyboardInterrupt:
+                    print("\nChat interrupted. Exiting...")
+                    break
+
+                except Exception as e:
+                    print(f"\nError: {e}")
+                    logger.error(f"Error in chat loop: {str(e)}")
+
+        except Exception as e:
+            logger.error(f"Error in chat session: {e}")
+            print(f"\nAn error occurred: {e}")
+
+    async def cleanup(self) -> None:
+        """Clean up resources and close connections."""
+        await self.exit_stack.aclose()
+        self.session = None
+
+
+async def _run_chat_cli(servers_config_path: str) -> None:
+    """Run the Chat CLI application."""
+    cli = ChatCLI(servers_config_path)
+    logger.info("Chat CLI started")
+    try:
+        logger.info("Loading configuration...")
+        await cli.load_config()
+        await cli.connect()
+        logger.info("Configuration loaded successfully")
+        await cli.chat()
+    except Exception as e:
+        logger.error(f"Error: {e}")
+        print(f"Error: {e}")
+    finally:
+        await cli.cleanup()
+
+
+@click.command()
+@click.option("--config", default=None, help="Path to servers configuration JSON file")
+@click.option(
+    "--log-level",
+    default="INFO",
+    help="Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)",
+)
+def main(config: str | None, log_level: str) -> int:
+    """Run the Chat CLI application."""
+    # Configure logging
+    logging.basicConfig(
+        level=getattr(logging, log_level.upper()),
+        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+    )
+
+    # Use provided config or default
+    servers_config_path = config or os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "servers_config.json"
+    )
+
+    # Run the async part
+    anyio.run(_run_chat_cli, servers_config_path)
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/examples/agents/chat-cli/mcp_chat_cli/servers_config.json b/examples/agents/chat-cli/mcp_chat_cli/servers_config.json
new file mode 100644
index 00000000..cb15248c
--- /dev/null
+++ b/examples/agents/chat-cli/mcp_chat_cli/servers_config.json
@@ -0,0 +1,7 @@
+{
+  "mcpServer": {
+    "name": "personal-assistant",
+    "command": "uv",
+    "args": ["run", "mcp-personal-assistant"]
+  }
+}
\ No newline at end of file
diff --git a/examples/agents/chat-cli/pyproject.toml b/examples/agents/chat-cli/pyproject.toml
new file mode 100644
index 00000000..d409ac48
--- /dev/null
+++ b/examples/agents/chat-cli/pyproject.toml
@@ -0,0 +1,37 @@
+[build-system]
+requires = ["setuptools>=61.0"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "mcp_chat_cli"
+version = "0.1.0"
+
+description = "Chat CLI for interacting with MCP agents"
+requires-python = ">=3.10"
+classifiers = [
+    "Programming Language :: Python :: 3",
+    "License :: OSI Approved :: MIT License",
+    "Operating System :: OS Independent",
+]
+dependencies = ["anyio>=4.5", "mcp"]
+
+[project.scripts]
+mcp-chat-cli = "mcp_chat_cli.cli:main"
+
+[tool.setuptools]
+packages = ["mcp_chat_cli"]
+
+[tool.ruff]
+line-length = 88
+target-version = "py310"
+
+[tool.pyright]
+include = ["mcp_chat_cli"]
+venvPath = "."
+venv = ".venv"
+
+[tool.uv.sources]
+mcp = { path = "../../../" }
+
+[[tool.uv.index]]
+url = "https://pypi.org/simple"
diff --git a/examples/agents/personal-assistant/mcp_personal_assistant/__init__.py b/examples/agents/personal-assistant/mcp_personal_assistant/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/examples/agents/personal-assistant/mcp_personal_assistant/__main__.py b/examples/agents/personal-assistant/mcp_personal_assistant/__main__.py
new file mode 100644
index 00000000..a6876bf9
--- /dev/null
+++ b/examples/agents/personal-assistant/mcp_personal_assistant/__main__.py
@@ -0,0 +1,4 @@
+from .server import main
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/examples/agents/personal-assistant/mcp_personal_assistant/server.py b/examples/agents/personal-assistant/mcp_personal_assistant/server.py
new file mode 100644
index 00000000..4d4a8497
--- /dev/null
+++ b/examples/agents/personal-assistant/mcp_personal_assistant/server.py
@@ -0,0 +1,227 @@
+"""
+Personal Assistant Agent - MCP Server
+This agent acts as a personal assistant that can connect to other agents like the Project Analyst.
+"""
+
+import json
+import logging
+import os
+import sys
+from contextlib import AsyncExitStack
+from typing import Any, Dict, Optional
+
+import anyio
+import click
+from mcp import ClientSession, StdioServerParameters
+from mcp.client.stdio import stdio_client
+from mcp.server.fastmcp import Context, FastMCP
+from mcp.shared.context import RequestContext
+from mcp.types import ElicitRequestParams, ElicitResult, TextContent
+from pydantic import BaseModel, Field
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+)
+logger = logging.getLogger(__name__)
+
+# Initialize the MCP server
+mcp_server = FastMCP(name="Personal Assistant")
+
+# Server connections
+server_sessions: Dict[str, ClientSession] = {}
+exit_stack = AsyncExitStack()
+
+
+class ProjectRequest(BaseModel):
+    """Schema for project analysis requests."""
+
+    project_name: str
+    issue_count: int = Field(default=5)
+
+
+def _extract_project_name(message: str) -> Optional[str]:
+    """Extract a project name from a message."""
+    words = message.lower().split()
+    # Simply find the word after "project"
+    for i, word in enumerate(words):
+        if word == "project" and i < len(words) - 1:
+            return words[i + 1]
+    return None
+
+
+async def _get_project_analysis(
+    ctx: Context, project_name: str, issue_count: int = 5
+) -> Optional[str]:
+    """Get project analysis from the analyst service."""
+    if "project-analyst" not in server_sessions:
+        return None
+
+    try:
+        await ctx.info(f"Calling Project Analyst for {project_name}")
+        result = await server_sessions["project-analyst"].call_tool(
+            "analyze_issues",
+            {"project_name": project_name, "issue_count": issue_count},
+        )
+
+        # Extract text content from the result
+        content = result.content
+        if content and isinstance(content[0], TextContent):
+            return content[0].text
+        return None
+    except Exception as e:
+        await ctx.error(f"Error calling Project Analyst: {str(e)}")
+        return None
+
+
+@mcp_server.tool(description="Chat with your personal assistant")
+async def chat(message: str, ctx: Context) -> str:
+    """Have a conversation with your personal assistant."""
+    await ctx.info(f"Processing message: {message}")
+
+    # Check if the message is asking about projects
+    if any(
+        word in message.lower() for word in ["project", "issues", "tasks", "priority"]
+    ):
+        # Try to extract project name or get it through elicitation
+        project_name = _extract_project_name(message)
+        issue_count = 5
+
+        if not project_name:
+            # Ask for project name through elicitation using Pydantic model
+            try:
+                response = await ctx.elicit(
+                    message="Which project would you like information about?",
+                    requestedSchema=ProjectRequest.model_json_schema(),
+                )
+                project_request = ProjectRequest.model_validate(response)
+                project_name = project_request.project_name
+                issue_count = project_request.issue_count
+            except Exception as e:
+                await ctx.error(f"Error during elicitation: {str(e)}")
+                return "I encountered an issue while trying to get project information."
+
+        # Get project analysis if we have a project name
+        if project_name:
+            analysis = await _get_project_analysis(ctx, project_name, issue_count)
+            if analysis:
+                return f"Here's my analysis of project '{project_name}':\n\n{analysis}"
+            return f"I couldn't get information about project '{project_name}'."
+
+    # Default response
+    return "I'm your personal assistant. How can I help you today?"
+
+
+@mcp_server.tool(description="List available connected services")
+async def list_services(ctx: Context) -> str:
+    """List all available services/agents this assistant can connect to."""
+    await ctx.info("Listing available services")
+    services = list(server_sessions.keys())
+
+    if not services:
+        return "No services are currently connected."
+
+    return (
+        f"Connected services:\n{chr(10).join(f'- {service}' for service in services)}"
+    )
+
+
+async def setup_server_connections(config_path: str) -> None:
+    """Setup connections to other MCP servers."""
+    # Load server config
+    with open(config_path, "r") as f:
+        servers_config = json.load(f)
+
+    # Connect to each server
+    for name, config in servers_config["mcpServers"].items():
+        try:
+            logger.info(f"Connecting to MCP server: {name}")
+
+            # Create environment with any specified vars
+            env = os.environ.copy()
+            if config.get("env"):
+                env.update(config["env"])
+
+            # Setup connection parameters
+            server_params = StdioServerParameters(
+                command=config["command"],
+                args=config.get("args", []),
+                env=env,
+            )
+
+            # Create stdio transport
+            stdio_transport = await exit_stack.enter_async_context(
+                stdio_client(server_params)
+            )
+            read, write = stdio_transport
+
+            # Create elicitation callback - this is a key part of the demo!
+            async def custom_elicitation_callback(
+                context: RequestContext["ClientSession", Any],  # noqa: F821
+                params: ElicitRequestParams,
+            ) -> ElicitResult:
+                # The agent can:
+                # 1. Forward the elicitation to the user (CLI)
+                # 2. Handle it internally if it has the information
+                # 3. Reject the request
+                logger.info(f"Received elicitation request: {params.message}")
+                # Agent can handle the elicitation internally and can return a value
+                if "proceed" in params.requestedSchema.get("properties", {}).keys():
+                    return ElicitResult(content={"proceed": True})
+                else:
+                    # Alternatively, we can ask the user for input
+                    # and return the response
+                    raise ValueError("Elicitation not supported for this request.")
+
+            # Create and initialize session
+            session = await exit_stack.enter_async_context(
+                ClientSession(
+                    read, write, elicitation_callback=custom_elicitation_callback
+                )
+            )
+            await session.initialize()
+
+            server_sessions[name] = session
+            logger.info(f"Connected to MCP server: {name}")
+
+        except Exception as e:
+            logger.error(f"Failed to connect to MCP server {name}: {e}")
+
+
+async def run_server_with_connections(config_path: str) -> None:
+    """Run the personal assistant server with connections to other servers."""
+    try:
+        await setup_server_connections(config_path)
+        logger.info("Starting Personal Assistant MCP server...")
+        await mcp_server.run_stdio_async()
+    finally:
+        await exit_stack.aclose()
+
+
+@click.command()
+@click.option("--config", default=None, help="Path to servers configuration JSON file")
+@click.option(
+    "--log-level",
+    default="INFO",
+    help="Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)",
+)
+def main(config: Optional[str] = None, log_level: str = "INFO") -> int:
+    """Run the Personal Assistant agent."""
+    # Configure logging
+    logging.basicConfig(
+        level=getattr(logging, log_level.upper()),
+        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+    )
+
+    # Use provided config or default
+    config_path = config or os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "servers_config.json"
+    )
+
+    # Run the server with connections
+    anyio.run(run_server_with_connections, config_path)
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/examples/agents/personal-assistant/mcp_personal_assistant/servers_config.json b/examples/agents/personal-assistant/mcp_personal_assistant/servers_config.json
new file mode 100644
index 00000000..5188d1dd
--- /dev/null
+++ b/examples/agents/personal-assistant/mcp_personal_assistant/servers_config.json
@@ -0,0 +1,8 @@
+{
+  "mcpServers": {
+    "project-analyst": {
+      "command": "uv",
+      "args": ["run", "mcp-project-analyst"]
+    }
+  }
+}
\ No newline at end of file
diff --git a/examples/agents/personal-assistant/pyproject.toml b/examples/agents/personal-assistant/pyproject.toml
new file mode 100644
index 00000000..28aecea4
--- /dev/null
+++ b/examples/agents/personal-assistant/pyproject.toml
@@ -0,0 +1,34 @@
+[project]
+name = "mcp-personal-assistant"
+version = "0.1.0"
+description = "Personal Assistant Agent using MCP"
+requires-python = ">=3.10"
+keywords = ["mcp", "llm", "automation", "assistant", "agent"]
+license = { text = "MIT" }
+dependencies = ["anyio>=4.5", "httpx>=0.27", "mcp"]
+
+[project.scripts]
+mcp-personal-assistant = "mcp_personal_assistant.server:main"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["mcp_personal_assistant"]
+
+[tool.pyright]
+include = ["mcp_personal_assistant"]
+venvPath = "."
+venv = ".venv"
+
+[tool.ruff.lint]
+select = ["E", "F", "I"]
+ignore = []
+
+[tool.ruff]
+line-length = 88
+target-version = "py310"
+
+[tool.uv]
+dev-dependencies = ["pyright>=1.1.378", "pytest>=8.3.3", "ruff>=0.6.9"]
\ No newline at end of file
diff --git a/examples/agents/personal-assistant/uv.lock b/examples/agents/personal-assistant/uv.lock
new file mode 100644
index 00000000..8bfe51ad
--- /dev/null
+++ b/examples/agents/personal-assistant/uv.lock
@@ -0,0 +1,405 @@
+version = 1
+requires-python = ">=3.10"
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+source = { registry = "https://artifactory.infra.ant.dev/artifactory/api/pypi/pypi-all/simple" }
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+    { name = "idna" },
+    { name = "sniffio" },
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+    { name = "pydantic-settings" },
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diff --git a/examples/agents/project-analyst/mcp_project_analyst/__init__.py b/examples/agents/project-analyst/mcp_project_analyst/__init__.py
new file mode 100644
index 00000000..83b9b9fc
--- /dev/null
+++ b/examples/agents/project-analyst/mcp_project_analyst/__init__.py
@@ -0,0 +1,5 @@
+"""Project Analyst Agent for MCP.
+
+This module provides a Project Analyst Agent that analyzes project issues
+and provides summaries with priorities and recommendations.
+"""
\ No newline at end of file
diff --git a/examples/agents/project-analyst/mcp_project_analyst/__main__.py b/examples/agents/project-analyst/mcp_project_analyst/__main__.py
new file mode 100644
index 00000000..f5f6e402
--- /dev/null
+++ b/examples/agents/project-analyst/mcp_project_analyst/__main__.py
@@ -0,0 +1,4 @@
+from .server import main
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/agents/project-analyst/mcp_project_analyst/mock_data.py b/examples/agents/project-analyst/mcp_project_analyst/mock_data.py
new file mode 100644
index 00000000..102f89e4
--- /dev/null
+++ b/examples/agents/project-analyst/mcp_project_analyst/mock_data.py
@@ -0,0 +1,124 @@
+"""Mock data generation utilities for Project Analyst Agent.
+
+This module provides functions to generate mock project issues for demonstration purposes.
+"""
+
+import random
+from typing import Sequence, TypedDict
+
+
+class Issue(TypedDict):
+    """Representation of a project issue."""
+
+    number: int
+    title: str
+    state: str
+    priority: str
+    type: str
+    assignee: str
+    effort: str
+    description: str
+    dependencies: str
+
+
+# Mock data constants
+ISSUE_TYPES = ["bug", "feature", "task", "improvement", "documentation"]
+PRIORITIES = ["low", "medium", "high", "critical"]
+STATES = ["open", "closed"]
+ASSIGNEES = ["Alice", "Bob", "Charlie", "Diana", "Unassigned"]
+EFFORTS = ["1 day", "3 days", "1 week", "2 weeks", "Unknown"]
+
+
+def generate_mock_issues(project_name: str, count: int = 10) -> Sequence[Issue]:
+    """
+    Generate mock project issues for demonstration purposes.
+
+    Args:
+        project_name: The name of the project
+        count: Number of issues to generate
+
+    Returns:
+        A sequence of mock issues
+    """
+    issues: list[Issue] = []
+    for i in range(1, count + 1):
+        # Weight state to have more open than closed
+        state = random.choices(STATES, weights=[0.7, 0.3])[0]
+
+        # Weight priority
+        priority = random.choices(PRIORITIES, weights=[0.2, 0.4, 0.3, 0.1])[0]
+
+        issue: Issue = {
+            "number": i,
+            "title": f"{random.choice(ISSUE_TYPES).capitalize()} for {project_name} component {random.randint(1, 5)}",
+            "state": state,
+            "priority": priority,
+            "type": random.choice(ISSUE_TYPES),
+            "assignee": random.choice(ASSIGNEES),
+            "effort": random.choice(EFFORTS),
+            "description": f"This is a mock issue for {project_name}. It requires attention and possibly refactoring of the existing code.",
+            "dependencies": random.choice(
+                [
+                    "None",
+                    f"Issue #{random.randint(1, count)}",
+                    "External dependency on API",
+                ]
+            ),
+        }
+        issues.append(issue)
+
+    return issues
+
+
+def generate_analysis_report(
+    project_name: str,
+    issues: Sequence[Issue],
+) -> str:
+    """
+    Generate a formatted analysis report from issue data.
+
+    Args:
+        project_name: The name of the project
+        issues: The sequence of issues to analyze
+
+    Returns:
+        A formatted markdown report
+    """
+    # Process the issues
+    open_issues = [issue for issue in issues if issue["state"] == "open"]
+    open_count = len(open_issues)
+    closed_count = len(issues) - open_count
+
+    # Count priorities
+    priorities: dict[str, int] = {}
+    for issue in issues:
+        priority = issue["priority"]
+        priorities[priority] = priorities.get(priority, 0) + 1
+
+    # Count by type
+    types: dict[str, int] = {}
+    for issue in issues:
+        issue_type = issue["type"]
+        types[issue_type] = types.get(issue_type, 0) + 1
+
+    return f"""# Project Issues Analysis for {project_name}
+
+## Summary
+- Total issues analyzed: {len(issues)}
+- Open issues: {open_count}
+- Closed issues: {closed_count}
+
+## Issues by Priority
+{chr(10).join(f"- {priority}: {count}" for priority, count in priorities.items())}
+
+## Issues by Type
+{chr(10).join(f"- {issue_type}: {count}" for issue_type, count in types.items())}
+
+## Top Open Issues
+{chr(10).join(f"- #{issue['number']}: {issue['title']} (Priority: {issue['priority']})" for issue in open_issues[:5])}
+
+## Recommended Next Steps
+1. Address high priority issues first
+2. Review issues with dependencies
+3. Re-estimate effort for any issues that have been open for a long time
+"""
diff --git a/examples/agents/project-analyst/mcp_project_analyst/server.py b/examples/agents/project-analyst/mcp_project_analyst/server.py
new file mode 100644
index 00000000..7eef665f
--- /dev/null
+++ b/examples/agents/project-analyst/mcp_project_analyst/server.py
@@ -0,0 +1,81 @@
+"""Project Analyst Agent - MCP Server
+
+This agent provides tools for analyzing projects and summarizing issues and priorities.
+"""
+
+import logging
+import sys
+
+import click
+from mcp.server.fastmcp import Context, FastMCP
+from pydantic import BaseModel
+
+from .mock_data import generate_analysis_report, generate_mock_issues
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+)
+logger = logging.getLogger(__name__)
+
+# Initialize the MCP server
+mcp_server = FastMCP(name="Project Analyst Agent")
+
+
+class ShouldProceed(BaseModel):
+    """Schema for elicitation response using Pydantic for validation."""
+
+    proceed: bool
+
+
+@mcp_server.tool(description="Analyze issues for a project")
+async def analyze_issues(
+    project_name: str,
+    issue_count: int,
+    ctx: Context,
+) -> str:
+    """
+    Analyze issues for a project and provide a summary with priorities.
+
+    Args:
+        project_name: The name of the project to analyze
+        issue_count: Number of issues to analyze
+        ctx: The MCP context
+
+    Returns:
+        A summary analysis of the project issues and priorities
+    """
+    await ctx.info(f"Analyzing {issue_count} issues from {project_name}")
+
+    try:
+        # Generate mock issues (in a real implementation, this would use an API)
+        issues = generate_mock_issues(project_name, issue_count)
+        # Check if we need to elicit user input
+        if issues:
+            response = await ctx.elicit(
+                message=f"{len(issues)} issues found. Would you like to proceed?",
+                requestedSchema=ShouldProceed.model_json_schema(),
+            )
+            logger.info(f"Elicitation response: {response}")
+            elicit_response = ShouldProceed.model_validate(response)
+            if elicit_response.proceed:
+                return generate_analysis_report(project_name, issues)
+
+        return "No analysis requested."
+
+    except Exception as e:
+        error_message = f"Error analyzing project issues: {str(e)}"
+        await ctx.error(error_message)
+        return error_message
+
+
+@click.command()
+def main() -> int:
+    """Run the MCP server using STDIO transport."""
+    logging.info("Starting Project Analyst MCP server...")
+    mcp_server.run(transport="stdio")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/examples/agents/project-analyst/pyproject.toml b/examples/agents/project-analyst/pyproject.toml
new file mode 100644
index 00000000..88200e17
--- /dev/null
+++ b/examples/agents/project-analyst/pyproject.toml
@@ -0,0 +1,34 @@
+[project]
+name = "mcp-project-analyst"
+version = "0.1.0"
+description = "Project Analyst Agent using MCP"
+requires-python = ">=3.10"
+keywords = ["mcp", "llm", "automation", "project", "analysis"]
+license = { text = "MIT" }
+dependencies = ["anyio>=4.5", "httpx>=0.27", "mcp"]
+
+[project.scripts]
+mcp-project-analyst = "mcp_project_analyst.server:main"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["mcp_project_analyst"]
+
+[tool.pyright]
+include = ["mcp_project_analyst"]
+venvPath = "."
+venv = ".venv"
+
+[tool.ruff.lint]
+select = ["E", "F", "I"]
+ignore = []
+
+[tool.ruff]
+line-length = 88
+target-version = "py310"
+
+[tool.uv]
+dev-dependencies = ["pyright>=1.1.378", "pytest>=8.3.3", "ruff>=0.6.9"]
\ No newline at end of file
diff --git a/examples/agents/project-analyst/uv.lock b/examples/agents/project-analyst/uv.lock
new file mode 100644
index 00000000..cbbeef1a
--- /dev/null
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diff --git a/pyproject.toml b/pyproject.toml
index 2b86fb37..4e651d1b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -103,7 +103,7 @@ target-version = "py310"
 "tests/server/fastmcp/test_func_metadata.py" = ["E501"]
 
 [tool.uv.workspace]
-members = ["examples/servers/*"]
+members = ["examples/servers/*", "examples/agent/*"]
 
 [tool.uv.sources]
 mcp = { workspace = true }