MCP Servers
63,071 MCP servers for AI apps. Filter by category, badge and popularity.
Productivity
A local-first MCP bridge for Claude Code, Claude Desktop, and other MCP clients. 177 tools (LSP, debugger, terminal, git, GitHub, file ops) via a companion VS Code extension, with an optional layer for YAML automation recipes, a human approval queue, persistent decision traces.
A desktop app that gives AI assistants full read/write access to your WorkFlowy account with fast local search. Caches your entire outline in local SQLite with full-text search—instant search across hundreds of thousands of nodes without hitting API rate limits.
This project implements a Python-based MCP (Model Context Protocol) server that acts as an interface between Large Language Models (LLMs) and the Google Calendar API. It enables LLMs to perform calendar operations via natural language requests.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
