@fulong98
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-fulong98": {
"command": "docker",
"args": [
"build",
"-t",
"yourusername/runpod-python-executor:latest",
"."
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
mcp_server enables AI assistants (like Cline) to execute Python code on RunPod serverless infrastructure using the Model Context Protocol (MCP). It consists of a RunPod Serverless API that runs the code and an MCP server that provides a standardized interface for the assistant.
After deploying a RunPod serverless endpoint and obtaining its ID, install the Python dependencies (pip install mcp requests), set the RUNPOD_API_KEY and RUNPOD_ENDPOINT_ID environment variables, and run the MCP server script. Connect your AI assistant (e.g., Cline) to the MCP server, then use the execute_python_code tool to run code and check_runpod_status to verify connectivity.
RunPod does not provide a direct API to retrieve logs from pods, making it hard to capture output. Serverless functions charge only for actual execution time and avoid persistent connection complexity.
Cold start latency occurs on first execution. Each run starts with a fresh environment (no persistent storage). Resource constraints (CPU, memory, disk) are tighter than dedicated pods, and GPU access is more limited and typically more expensive.
Code runs in an isolated container with a limited execution time to prevent resource abuse. Additional security measures should be implemented for production use.
Your code might be too complex or contain an infinite loop. Check the execution timeout setting (`MAX_EXECUTION_TIME`) and ensure your logic terminates promptly.
Use a curl command like: `curl -X POST https://api.runpod.io/v2/{endpoint_id}/runsync -H 'Content-Type: application/json' -H 'Authorization: Bearer YOUR_RUNPOD_API_KEY' -d '{"input": {"code": "print(\"Hello, World!\")"}}'`.
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