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Strands MCP Server

by cagataycali

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Schema

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
mcp_client

Test and interact with MCP servers.

This tool provides a complete MCP client implementation for testing and using MCP servers from within a Strands Agent.

Args: action: Action to perform - "connect", "disconnect", "list_tools", "call_tool", "list_connections" connection_id: Unique identifier for this connection transport: Transport type - "http", "stdio", or "sse" server_url: URL for HTTP/SSE transport (e.g., "http://localhost:8000/mcp") command: Command for stdio transport (e.g., "python") args: Arguments for stdio command (e.g., ["mcp_server_stdio.py"]) tool_name: Name of tool to call (for call_tool action) tool_args: Arguments to pass to tool (for call_tool action)

Returns: Result dictionary with status and content

Examples: # Connect to HTTP server mcp_client( action="connect", connection_id="my-server", transport="http", server_url="http://localhost:8000/mcp" )

# Connect to stdio server mcp_client( action="connect", connection_id="stdio-server", transport="stdio", command="python", args=["mcp_server_stdio.py"] ) # List tools from connection mcp_client(action="list_tools", connection_id="my-server") # Call a tool mcp_client( action="call_tool", connection_id="my-server", tool_name="calculator", tool_args={"expression": "2 + 2"} ) # List all connections mcp_client(action="list_connections") # Disconnect mcp_client(action="disconnect", connection_id="my-server")

Notes: - stdio transport: Server must be launchable as subprocess - HTTP transport: Server must be already running - Connections are maintained in global state for reuse

greet

Greet someone with different styles.

Args: name: The name of the person to greet style: Greeting style - "friendly", "formal", or "enthusiastic"

Returns: str: A greeting message

invoke_agent

Invoke the full strands-mcp-cli agent with a natural language prompt. Use this for complex queries that require reasoning across multiple tools or when you need a conversational response from the agent.

MCP directory API

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