MCP Agent
A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data fetching, and an advanced RAG (Retrieval-Augmente
What is MCP Agent?
MCP Agent is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to modular python framework implementing the model context protocol (mcp). it features a standardized client-server architecture over stdio, integrating llms with external tools, real-time weather data f...
A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data fetching, and an advanced RAG (Retrieval-Augmente
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A modular Python framework implementing the Model Context Pr
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-agentConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use MCP Agent
MCP Agent is a modular Python framework that implements the Model Context Protocol with a client-server architecture over StdIO, combining LLM integration, real-time web search via the Serper API, and an advanced Graph-RAG retrieval system. It is designed as a reference implementation and building block for developers who want to create their own MCP-compatible agents with structured retrieval, tool use, and a FastAPI-backed interface for querying the agent programmatically.
Prerequisites
- Python 3.9+ installed
- A Serper API key for web search functionality (sign up at serper.dev to obtain SERPER_API_KEY)
- Git to clone the repository
- pip to install dependencies from requirements.txt
- An MCP-compatible client such as Claude Desktop, or direct use of the FastAPI interface
Clone the MCP Agent repository
Clone the project from GitHub to get the full framework source code.
git clone https://github.com/AtharvaJadhav/mcp-agent.git
cd mcp-agentInstall Python dependencies
Install all required packages from the requirements file into your Python environment.
pip install -r requirements.txtConfigure environment variables
Create a .env file in the project root with your Serper API key and any optional configuration settings.
# .env
SERPER_API_KEY=your-serper-api-key-here
REQUEST_TIMEOUT=30
MAX_RESULTS=20
LOG_LEVEL=INFOStart the FastAPI client interface
Launch the FastAPI server to expose the MCP agent through a REST API for programmatic access.
python -m client.fastapi_clientQuery the agent
Send requests to the search endpoint or check the health endpoint to confirm everything is running.
# Health check
curl http://localhost:8000/health
# Search query
curl -X POST http://localhost:8000/search \
-H 'Content-Type: application/json' \
-d '{"query": "latest developments in AI agents", "max_results": 10}'MCP Agent Examples
Client configuration
Claude Desktop config block for the MCP Agent server running in StdIO mode.
{
"mcpServers": {
"mcp-agent": {
"command": "python",
"args": ["-m", "server.mcp_server"],
"cwd": "/path/to/mcp-agent",
"env": {
"SERPER_API_KEY": "your-serper-api-key",
"REQUEST_TIMEOUT": "30",
"MAX_RESULTS": "20",
"LOG_LEVEL": "INFO"
}
}
}
}Prompts to try
Example prompts and API requests to interact with the MCP Agent's search and retrieval capabilities.
- "Search the web for recent research papers on graph-based RAG retrieval systems."
- "Find the top 10 results about Model Context Protocol implementations in Python."
- "What are the latest news items about LLM agent frameworks this week?"
- "Search for tutorials on building MCP servers with Python and summarize the best one."
- "Find documentation for the Serper API and explain its rate limits."Troubleshooting MCP Agent
Search returns empty results or 401 Unauthorized
Verify SERPER_API_KEY is correctly set in your .env file. Check your Serper account dashboard for remaining API credits. The free tier has a monthly search limit — upgrade your plan if exhausted.
FastAPI server fails to start with ImportError
Ensure all dependencies are installed: run 'pip install -r requirements.txt' again. If using a virtual environment, confirm it is activated. Python 3.9+ is required — run 'python --version' to confirm.
REQUEST_TIMEOUT errors when querying the agent
Increase the REQUEST_TIMEOUT value in your .env file (e.g., REQUEST_TIMEOUT=60). Complex queries involving multiple search result pages or RAG retrieval may take longer than the default 30 seconds.
Frequently Asked Questions about MCP Agent
What is MCP Agent?
MCP Agent is a Model Context Protocol (MCP) server that modular python framework implementing the model context protocol (mcp). it features a standardized client-server architecture over stdio, integrating llms with external tools, real-time weather data fetching, and an advanced rag (retrieval-augmente It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCP Agent?
Follow the installation instructions on the MCP Agent GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCP Agent?
MCP Agent works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCP Agent free to use?
Yes, MCP Agent is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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