LLMling is a Python library that provides a configurable LLM task processing framework, supporting multiple context processors and LLM provider integrations.

A tool for interacting with the macOS Messages application through Python bridging, supporting reading and sending iMessage messages

mcp-x is a Python library that provides specific functional support.

This project is a server - side implementation based on the Model Context Protocol (MCP) for connecting to the GraphQL API to access policy data. It is built using the Python SDK and GQL library and supports rapid deployment through the uv tool.

click-mcp is a Python library that extends Click applications through Model Context Protocol (MCP) support, enabling AI agents to interact with CLI tools.

The CrewAI MCP Adapter is a Python library that extends the CrewAI adapter ecosystem by integrating the Model Context Protocol (MCP), providing comprehensive support for custom agent and tool development.

mcpx-py is a Python library for interacting with LLMs through the mcp.run tool. It supports multiple AI models and provides structured output functionality.

An MCP server based on the Datawrapper Python library that allows AI assistants to create, publish, update, and display Datawrapper charts, supporting chart operations through chat interactions.

OneCite is a powerful academic citation tool that can automatically convert messy references (such as DOI, title, arXiv ID, etc.) into citation entries with standard formats and complete data. It supports multiple formats such as BibTeX, APA, MLA, and provides command - line, Python library, and AI assistant integration.

This project is a PPT production service based on the MCP protocol and the python - pptx library. It supports the dynamic creation, editing, and saving of PowerPoint presentations through chat interaction. It provides multiple functions such as adding slides, images, and tables, and can generate download links and export in Base64 format.

Documentation library for the MCP Python SDK, providing documentation for the Python development toolkit of the Model Context Protocol (MCP), including usage guides and API references for the FastMCP server framework.

The MCP Python SDK is a Python library that implements the Model Context Protocol (MCP), used to standardize the interaction between LLM applications and servers, supporting the exposure and management of resources, tools, and prompts.

A LinkedIn data crawler tool that supports various data extractions such as personal profiles, company information, and post searches. It provides three usage methods: Python library, command line, and MCP server, and has a built-in anti-detection mechanism.

OmniMind is an open - source Python library designed to simplify Model Context Protocol (MCP) integration and support the development of AI agents, workflows, and automation. It offers plug - and - play functionality, has built - in multiple tools, and provides intelligent responses based on Google Gemini, making it suitable for developers and beginners to quickly build AI applications.

The MCP Python SDK is a Python library that implements the Model Context Protocol (MCP) for standardizing the interaction between LLM applications and servers, supporting the exposure and management of resources, tools, and prompts.

MCP Server Box is a Python project that implements functions such as file search, text extraction, AI queries, and data extraction through the Box API. It integrates the box-sdk-gen library and provides a toolset for interacting with Box files and folders.

An MCP server based on the python - zmanim library, used for calculating Jewish prayer times (Zmanim) at any location worldwide, supporting multiple Halacha opinions and output formats.

The Monarch Money MCP server is a protocol service that provides access to financial data, supporting functions such as account management, transaction operations, and budget analysis. It interacts with the Monarch Money API through a Python library wrapper.

An advanced Python library for building and managing an autonomous agent network that collaboratively solves complex tasks. It is designed based on the OpenAPI standard and provides a concise type - safe interface and team - collaboration features.

This is a Docker-based Python server template that implements the Model Context Protocol (MCP), built with the FastMCP library, and supports real-time interaction with large language models (LLMs) through Server-Sent Events (SSE).

pymcp-sse is a lightweight Python library that implements the Model Context Protocol (MCP) based on HTTP/SSE transmission, providing functions such as modular framework, tool registration and discovery, server push, and LLM integration.

Plex MCP Server is a Python-based service that integrates with the Plex media server API through the PlexAPI library, providing functions such as movie search and playlist management. It supports filtering movies by director/genre, finding missing movies, creating playlists, etc., and can be configured and used through the Claude application.

A lightweight file system service built on Python and the MCP library that securely exposes the file content and metadata in pre - configured directories and integrates with Claude AI for natural language interaction.

This project is a server implementation based on the Model Context Protocol (MCP) for connecting to the GraphQL API to access policy data. It is built using the Python SDK and the GQL library and supports policy queries in the TrueRAG system.

A custom MCP server designed for Claude, supporting the search of Python library documentation

The First Cycling API is an unofficial Python wrapper library for accessing data on the firstcycling.com website, supporting data retrieval from race, rider, and ranking pages.