MCP Servers
66,266 MCP servers for AI apps. Filter by category, badge and popularity.
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MCP server for Mattermost API. Enables Claude and other MCP clients to interact with Mattermost workspaces — list channels, read/post messages, manage threads, reactions, and monitor topics. Supports flexible configuration via CLI args, environment variables, or config files
This Python script implements an MCP (Model Context Protocol) server using the mcp library (FastMCP) that allows an LLM (like Claude) to interact with an email account using POP3 (for reading/deleting emails) and SMTP (for sending emails), both secured with TLS encryption
Baidu Cloud LLM Security MCP Server focuses on addressing security issues such as compliance with generative content for third-party large language models, internal security improvements for large language models, and risk convergence for normalized large language model operations
Minimal MCP (Model Context Protocol) HTTP server for AGENTS.md and structured tasks, with versioned history (logs/revert) and an ephemeral scratchpad, exposed over a Streamable HTTP endpoint. The scratchpad can also be used to spawn context isolated subagents (via Gemini, OpenAI,
Claude 3.7 Swarm with Field Coherence: A Model Context Protocol (MCP) server that orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm. It creates a field coherence effect across pattern recognition, information theory, and reasoning specialists
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.
