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A Model Context Protocol (MCP) server built in TypeScript that provides tools for interacting with GitHub and other services.

A DevOps-friendly template with CI/CD, Docker, and Documentation-as-Code (DaC) for building MCP server

The Foursquare Places API provides detailed location context for apps that need to understand where a user is and what's around them. Powered by a global, open source database of 100 million places across more than 1500 categories, they convert raw GPS data into meaningful insights.

MCP Server for executing XPath queries on XML content.

Run + Intercept - A powerful Rust-based process manager that intelligently manages long-running processes with both AI assistant integration and command-line interface capabilities.

A comprehensive MCP (Model Context Protocol) implementation for Cursor, featuring advanced tools for web, code, file operations, and Supabase database management.

A Model Context Protocol (MCP) server that provides backend utilities including curl command execution with automatic Bearer token injection and log file reading capabilities.

FastMCP MCP (Model Context Protocol)

MCPExtension is an experimental C# Mendix Extensibility framework project that exposes Mendix Studio Pro capabilities and tools through a Model Context Protocol (MCP) Server. This extension allows external applications and AI tools to interact with Mendix Studio Pro's domain modeling capabilities via standardized MCP protocols.

A Model Context Protocol (MCP) server that connects to and manages the parent Krayin5 automated testing infrastructure.

MCP Server to support RAG-based Agentic Workflows related to Hockey Stats

This repository contains my exploration and experiments with MCP (Managed Control Plane / whatever MCP stands for in your context).

MCP casestudies and tutorials

A MongoDB-powered MCP (Model Context Protocol) server that enables AI assistants to maintain persistent, project-aware memory across sessions. Built with MongoDB Atlas Vector Search's native $rankFusion hybrid search capabilities.

Model Context Protocol (MCP) server for managing n8n workflows. This allows Claude and other MCP-compatible tools to create, read, update, and delete workflows in your n8n instance.

Comprehensive dashboard tracking 27,899 MCP servers across 3 data sources, with focus on 966 finance-related servers. Analyzes AI tool proliferation and finance sector adoption using advanced ML techniques including semantic embeddings, topic modeling, and automated consequentiality scoring.

A Model Context Protocol (MCP) server that provides AI assistants with deep RStudio integration capabilities, including environment management, code execution, project management, and more.

Exposes tools for an LLM to parse a must-gather directory and find clusters that failed installation along with any relevant logs.

Access SkyFi satellite imagery, weather data, and OpenStreetMap tools through the Model Context Protocol.

This project provides a set of Model Context Protocol (MCP) servers designed to help manage complex book series writing projects with Claude Desktop. It includes functionality for character management, plot tracking, world-building, research/continuity tracking, and writing production management.

elisp-dev-mcp is an Emacs package that provides an MCP (Machine Code Protocol) server for agentic Elisp development. It enables AI agents to assist with Elisp coding tasks by providing a structured API to interact with Emacs and manipulate Elisp code.

A Python package that combines Google's Gemma language model with MCP (Model Content Protocol) server integration, enabling powerful function calling capabilities across both local functions and remote MCP tools.

A Model Context Protocol (MCP) server that provides tools to interact with Storybook documentation and component information.

MCP services for Todoist

The contents of this repository are a collection of OpenUSD tools that interface with MCP (modelcontextprotocol) and A2A (agent2agent). The goal of this effort is to give large language models and agentic workflows the tools to work directly with OpenUSD objects, e.g., UsdStage, prims, hierarchies, and others and integrate them into comprehensive asset creation workflows.

This project demonstrates how to extend GitHub Copilot capabilities using Python, Langchain, and the Model Context Protocol (MCP), allowing for more deterministic and powerful interactions with the LLM.

This workspace provides a set of tools and demos for interacting with LLMs (Groq, Ollama), MCP tool servers, and n8n automation. It includes Python scripts, Streamlit apps, and server modules for math and weather tasks.

A complete DuckLake semantic layer implementation with MinIO object storage, DuckDB analytics engine, and Cube.dev business semantics, providing an MCP (Model Context Protocol) server for agentic AI platforms.

Generated on: 2025-07-14 03:52:46 UTC
Current User: lllucius

RDKit MCP Server is an open-source MCP server that enables language models to interact with RDKit through natural language. The goal is to provide agent-level access to every function in RDKit 2025.3.1 without writing any code.

A comprehensive Model Context Protocol (MCP) platform providing standardized integrations between AI assistants and various services and APIs. This repository contains both JavaScript and Python implementations of MCP servers and clients for seamless service integration.

A powerful bridge connecting Model Context Protocol (MCP) servers with Obsidian for enhanced knowledge discovery, AI-powered workflows, and intelligent content synthesis.

A modern, multi-provider AI chat interface that supports OpenAI, Anthropic Claude, DeepSeek, and LM Studio with advanced features like file handling, voice input, and conversation management.

A Model Context Protocol (MCP) server template for Node.js applications. This template provides a foundation for building MCP-compatible servers with support for multiple transport protocols.

A Model Context Protocol (MCP) that provides tools for fetching and creating Reddit content.

This project implements a FastMCP server that exposes Betfair Exchange market information as tools for use by a Large Language Model (LLM). It leverages the betfairlightweight Python library to interact with the Betfair API-NG.

A Model Context Protocol (MCP) backend service for storing and retrieving conversational data using PostgreSQL with pgvector for semantic search.

Este repositorio fue creado automticamente por solicitud del usuario.

A Model Context Protocol (MCP) server that provides 29 Git operations + 11 workflow combinations for AI assistants and developers. This server exposes comprehensive Git repository management through a standardized interface, enabling AI models and developers to safely manage complex version control workflows.

LLM (Large Language Model) summarization refers to the process of using advanced AI models, such as GPT or similar transformer-based architectures, to generate concise and coherent summaries of longer texts. These models are trained on vast amounts of data and can understand context, extract key points, and rephrase information in a human-like manner.