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Pocket MCP 管理器

STDIO

统一管理多个MCP服务器的系统

Pocket MCP Manager

A flexible and user-friendly management system for Model Context Protocol (MCP) servers, consisting of a client-server architecture that simplifies handling multiple MCP servers through a central interface.

Overview

The Pocket MCP Manager streamlines the process of working with multiple MCP servers by allowing you to:

  • Add all your MCP servers to a central management UI
  • Selectively launch specific servers through an intuitive interface
  • Generate API keys linked to these running servers
  • Connect to them through a single proxy MCP server in clients like Claude or Cursor

This approach means you only need to update a single API key in your AI tools when changing which MCP servers you want to use, rather than reconfiguring multiple connection settings.

Server Component

The server component is an MCP proxy server that:

  1. Accepts an API key from the client
  2. Connects to the already running MCP servers authorized by that key
  3. Exposes all connected servers' capabilities through a unified MCP interface
  4. Routes requests to the appropriate backend servers

Server Installation

# Clone the repository git clone [email protected]:dailydaniel/pocket-mcp.git cd pocket-mcp/server # Install dependencies npm install # The build step runs automatically during installation

Connecting to Claude Desktop / Cursor

Add the following configuration to your Claude Desktop settings:

{ "mcpServers": { "mcp-proxy": { "command": "node", "args": ["/full/path/to/pocket-mcp/server/build/index.js"], "env": { "MCP_API_KEY": "api_key_from_client", "CLIENT_API_URL": "http://localhost:<port>/api" } } } }

Replace:

  • /full/path/to/pocket-mcp/server/build/index.js with the absolute path to your server's build/index.js file
  • api_key_from_client with the API key generated from the client UI
  • <port> with the port shown in the API server logs (typically 8000)

Client Component

The client provides a web-based UI built with Streamlit for:

  • Viewing all configured MCP servers
  • Launching selected servers as a group
  • Generating API keys for launched servers
  • Managing existing API keys

Client Setup

# Navigate to the client directory cd pocket-mcp/client # Create and activate a virtual environment python -m venv .venv --prompt "mcp-venv" source .venv/bin/activate # Install requirements pip install -r requirements.txt # Copy the example config cp servers_config_example.json servers_config.json # Edit the configuration with your MCP servers vim servers_config.json # Run the client streamlit run app.py

Server Configuration Example

Create a servers_config.json file in the client directory with your MCP servers:

{ "mcpServers": { "jetbrains": { "command": "npx", "args": ["-y", "@jetbrains/mcp-proxy"] }, "logseq": { "command": "uvx", "args": ["mcp-server-logseq"], "env": { "LOGSEQ_API_TOKEN": "API_KEY", "LOGSEQ_API_URL": "http://127.0.0.1:<port>" } }, "brave-search": { "command": "npx", "args": [ "-y", "@modelcontextprotocol/server-brave-search" ], "env": { "BRAVE_API_KEY": "API_KEY" } } } }

Replace API_KEY and <port> with your actual values.

Client Demo

Client Demo

Example LLM MCP Client

The repository includes an example client for chatting with LLMs using OpenAI API and MCP servers.

Setup and Usage

# Navigate to the example client directory cd pocket-mcp/example_llm_mcp # Copy the example environment file cp .env.example .env # Edit the .env file and add your OpenAI API key vim .env # Add server configurations to the servers_config.json file cp servers_config_example.json servers_config.json # Add API key from the client vim servers_config.json # If not already in a virtual environment # May use the same virtual environment as for the client source ../client/.venv/bin/activate # Install requirements pip install -r requirements.txt # Run the client python3 main.py

The example client will connect to your running MCP servers and allow you to chat with an LLM while utilizing MCP capabilities.

Chat Demo

Chat Demo

Acknowledgments

TODO

  • Add additional functionality to the client component
  • Convert the server into a standalone npm module that can be installed with npx
  • Delete cringe copyright notice from streamlit app :)

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