Discover and integrate MCP servers tagged with python
25 python MCP Servers Available
Japanese Vocab Anki MCP Server
An MCP server to interact with Strava
A server that helps people access and query data in databases using the Legion Query Runner with Model Context Protocol (MCP) in Python.
A MCP server for interacting with Taiga Project Manager
A MCP Server implementation for interacting with Unreal Engine instances through remote Python execution.
MCP server to give llms such as Claude, GitHub Copilot etc full PowerBI model context (from input .pbix) through tools based on PBIXRay python package.
This is a tool to scrape/download images and data from Vinted & Depop using the API and stores the data in a SQLite database.
Open Models MCP for Blender Using Ollama
Connect APIs, remarkably fast. Free for developers.
Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores per file, helping AI assistants understand the codebase. Automatically parses popular programming languages such as Python, C, C++, Rust, Zig, Lua.
MCP Crew AI Server is a lightweight Python-based server designed to run, manage and create CrewAI workflows.
The Gatherings MCP Server provides an API that allows AI assistants to interact with the Gatherings application through the Machine Conversation Protocol. This enables AI systems to help users manage shared expenses for social events, outings, or any gathering where costs are split among participants.
Essential MCP to ATC (Awesome Tool Collection) Python Bridge
Agent Framework / shim to use Pydantic with LLMs
MCP CheatEngine Toolkit - A Python-based toolkit for communicating with CheatEngine through MCP interface
MCP server for fetch web page content using Playwright headless browser.
FastAPI server implementing MCP protocol Browser automation via browser-use library.
MCP server providing code quality checks (pylint and pytest) with smart LLM-friendly prompts for analysis and fixes. Enables Claude and other AI assistants to analyze your code and suggest improvements.
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
