Strands MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| mcp_clientA | 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. 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" ) Notes: - stdio transport: Server must be launchable as subprocess - HTTP transport: Server must be already running - Connections are maintained in global state for reuse |
| greetC | Greet someone with different styles. Returns: str: A greeting message |
| invoke_agentA | 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. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/cagataycali/strands-mcp-server'
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