MCP Servers for python

MCP server retrieving transcripts of YouTube videos

Model Context Protocol (MCP) server implementation for semantic search and memory management using TxtAI. This server provides a robust API for storing, retrieving, and managing text-based memories with semantic search capabilities. You can use Claude and Cline AI Also

A central registry and HTTP interface for coordinating Model Context Protocol (MCP) servers.

A MCP server for interacting with Bear note-taking software.

MCP server enabling Image Generation for LLMs, built in Python and integrated with Together AI.

A Model Context Protocol (MCP) server that converts various file formats to Markdown using the MarkItDown utility.

FastAPI server implementing MCP protocol Browser automation via browser-use library.

An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation.

An MCP server that provides LLMs with efficient access to package documentation across multiple programming languages

An MCP server that provides LLMs with the latest stable package versions when coding

Simple MCP Client Using LangChain / Python

MCP Client Implementation Using LangChain / Python

A Model Context Protocol (MCP) server for stock traders

The Model Context Protocol (MCP) project, developed by PIAIC Batch 61 Morning Boys (Team 2) and led by Wajahat Hussain, showcases an innovative approach to contextual AI. It demonstrates how MCP—an open standard by Anthropic—enables secure and streamlined connectivity between AI systems and various external data sources.