Toolzy
Serveur Model Context Protocol officiel de Toolzy — la marketplace française de location d'outils entre particuliers. 3 tools, with
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 129 of 226
Serveur Model Context Protocol officiel de Toolzy — la marketplace française de location d'outils entre particuliers. 3 tools, with
Connect AI assistants to AppAmbit — the all-in-one platform for mobile app analytics, crash reporting, build distribution, managed databases…
Hosted ResolveMesh compatibility MCP server - read-only, source-backed compatibility lookups for AI agents. 2 tools, with
Local room where AI coding agents collaborate on one codebase via MCP — collisions prevented, human in command.
Free AI-industry intelligence for agents: briefings, regulation tracker & regional lenses. 11 tools, with
# GitHub Chat MCP A Model Context Protocol (MCP) for analyzing and querying GitHub repositories using the GitHub Chat API. Official Site: https://github-chat.com ##…
HTMLPub MCP server — let Claude, ChatGPT, or Cursor publish AI-generated HTML to a live page on your own domain.
Stop wasting AI tokens on localization. Instead of loading large i18n files into the AI's context, it translates them server-side via MCP (the… 16…
# MCP SSE Server and STDIO Server Examples ## Introduction Welcome to **The AI Language** project! In this repository, you'll find multiple examples of…
SAP MCP Server: MCP integration for the SAP platform.
Project management for coding agents: bugs, features, sprints, as easy as git. CLI + MCP server (71 tools, local or remote). 73 tools, with
# LlamaCloud MCP Server A MCP server connecting to multiple managed indexes on [LlamaCloud](https://cloud.llamaindex.ai/) This is a TypeScript-based MCP server that creates multiple tools…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.