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Access versatile utility tools via FastAPI and WebSocket for development automation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "FastAPI MCP Server" yet — see the docs or source repo.
Use FastAPI MCP Server tools to read the local config.json file, extract the API endpoint, send a GET request to that endpoint, and return the status code plus a response summary.
Returns the parsed file result, HTTP status code, and a brief summary of the API response.
Use FastAPI MCP Server string tools to clean this batch of text: remove extra spaces, convert to lowercase, count each string length, and output a processed results table.
Outputs cleaned text, length counts, and a structured list of results.
Use FastAPI MCP Server math tools to calculate the sum, average, maximum, and minimum of these values, then generate a report-ready summary.
Returns the calculated statistics and a concise summary ready to include in a report.
Deploy a production-ready MCP server with demo tools and interactive testing UI.
Build and manage MCP servers and clients quickly with Python.
Calculate expressions, check weather, and learn how an MCP server is built.
Provide standardized math operations for precise calculations and numeric processing in AI workflows.
Turn a running FastAPI app into an MCP server for natural-language API calls.
A lightweight MCP tool for math, API fetching, and usage monitoring.