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 14 of 232

Image Processor Mcp

Image Processor Mcp is a Model Context Protocol server that provides tools for downloading, compressing, optimizing images, and extracting printed… 6 tools, with

Runik Ai

Runik AI - MCP Skills Connect ChatGPT, Claude, or any AI assistant to your business data Website | Web App | Desktop App |…

@event4u/agent Config

Universal AI Agent OS — governed skills, rules, and commands for AI coding assistants (Claude Code, Augment, Cursor, Copilot, Windsurf). Read-only MCP bridge serves…

Fast News MCP

Fast News MCP exposes real-time news search, trending headlines, topic categories, and local news as MCP tools. 6 tools, with

Fake Star Audit

# fake-star-audit A transparent, dependency-free GitHub fake-star checker. One Python file, no token, no install — point it at a repo and get a…

Hellogrowthcrmmcp

An MCP (Model Context Protocol) server that helps you discover, identify, and govern every bot interacting with your website — search engines, AI crawlers…

Rook

## Rook MCP Saves text from your AI chats into [Rook](https://userook.app), the notes app for code. Configured with stdio JSON-RPC 2.0. One tool is…

Docuplete

Docuplete automates document completion for businesses — PDF templates, client interview forms, and e-signatures in one platform. The MCP server lets you drive the…

Assay Protocol Ai Agent Trust

# @assaylabs/mcp-server MCP server for Assay Discovery and trust infrastructure tools. This server exposes Assay agent lookup, semantic search, and ecosystem stats over standard…

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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.