MCP Servers

Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.

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2781 servers · Page 191 of 232

LIFE

LIFE — Persistent identity architecture for AI agents. 16 MCP servers: drives, heart, memory, patterns, journal, genesis, garden, vision, voice, and…

Agent Link

MCP server for bidirectional AI agent collaboration — 5 tools for spawning and communicating with any agent CLI.

Whatsapp

Single-binary Go MCP server that wraps whatsmeow to expose a personal WhatsApp account as 42 MCP tools (messaging, groups, polls, media, privacy).

Browserbase MCP Server

# Browserbase MCP Server ![cover](assets/cover.png) [The Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open protocol that enables seamless integration between LLM applications and external data…

Sage

SAGE — Save AI coding tokens by compressing terminal output, keeping raw logs local, and tracking real savings.

Telegram

Telegram for AI agents -- messages, chats, media, and contacts across both bot and full user-account modes. 7 tools, with

Booking

Booking.com MCP server by HasData: search stays and read full property details, as JSON. 2 tools, with

container-use

container-use Containerized environments for coding agents. (📦🤖) (📦🤖) (📦🤖) **Container Use** lets coding agents do their work in parallel environments without getting in your…

Facebook

MCP server for Facebook: a public page or profile by handle with likes, followers, contact details and the post feed with reactions. 1 tools…

Indeed

Indeed MCP server by HasData: search job listings and read full postings, as JSON. 2 tools, with

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MCP Servers FAQ

What is an MCP server?

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.

How do I install an MCP server?

Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.

What should I check before installing one?

Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.