MCP Servers
63,654 MCP servers for AI apps. Filter by category, badge and popularity.
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A Model Context Protocol server for Chess.com's Published Data API. This provides access to Chess.com player data, game records, and other public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information
A comprehensive Model Context Protocol (MCP) server providing advanced access to the ChEMBL chemical database. This server offers 22 specialized tools enabling AI assistants and MCP clients to perform sophisticated drug discovery research, chemical informatics analysis, and bioactivity analysis.
Shushu is an MCP tool that enables your LLM to safely connect to databases. DButils is an all-in-one MCP service that enables your AI to do data analysis by harnessing versatile types of database (sqlite, mysql, postgres, and more) within a unified configuration of multiple connections in a secured way (like SSL and control).
Self-hostable, markdown-native team wiki with a built-in MCP server: agents search, read, and write your wiki pages (ranked Postgres full-text + semantic search, backlink traversal). Plus Atlas, which auto-generates a cited, coverage-checked wiki from your git repos and Jira. Open
A deterministic, offline design-intelligence engine for AI coding tools. Replaces improvised UI generation with structured constraints plus a rule-based anti-AI-slop linter. Ships as a Claude Code plugin, a Python package, an MCP server (18 tools), and a 17-IDE installer
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.
