Browse and discover Model Context Protocol compatible servers
This repository provides a server for uploading, editing, searching, and generating videos using Video Jungle, leveraging custom URIs and metadata for efficient video management and edit creation. This repository provides
This repository provides an Elasticsearch Model Context Protocol (MCP) server implementation, enabling document searching, index analysis, and cluster management through a set of tools. It offers functionalities like listing indices
This repository provides tools, `run_command` and `run_script`, for LLMs like Claude to execute commands and scripts, enabling creative interactions while requiring careful user oversight for security. This repository provides tools,
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LiteMCP is a TypeScript framework for building Model Context Protocol (MCP) servers, offering features like simple tool and resource definition, built-in logging, error handling, and a CLI for debugging.
EasyMCP simplifies creating Model Context Protocol (MCP) servers in TypeScript by abstracting boilerplate code. It offers an intuitive API and experimental decorators for defining resources, prompts, and tools with type safety.
MongoDB Lens is a local Model Context Protocol server that enables natural language interaction with MongoDB databases. It allows users to perform queries, run aggregations, and optimize performance using LLMs.
This repository implements an MCP server for the RAG Web Browser Actor, enabling fast web interaction for AI agents by sending search queries and receiving extracted web content.
This repository offers an open-source Computer Use AI SDK for macOS, enabling AI agents to control computers without pixel-based vision. It provides tools for launching apps, reading content, clicking, entering
Minecraft patcher to fix textures with higher than default resolution
Fully working & decompiled MCP for Minecraft 1.8.9
The MCP Code Executor is an MCP server that enables LLMs to execute Python code within a specified Conda environment, allowing them to leverage libraries and dependencies for enhanced functionality.
MCP Compass is a discovery and recommendation service that helps AI assistants find and understand Model Context Protocol servers using natural language queries. It simplifies discovering the right tools for specific tasks.
MCPOmni Connect is a universal command-line interface that integrates multiple MCP servers, AI models, and transport protocols into a unified, intelligent interface. It offers multi-protocol support and AI-powered intelligence.
Tripo MCP server acts as an interface, using the Model Context Protocol, between AI assistants and Tripo AI to generate 3D assets from natural language and import them into Blender.