Browse Model Context Protocol (MCP) servers and integrations.
Model Context Protocol (MCP) servers are standardized interfaces that allow large language models and AI agents to securely interact with external systems, tools, and data stores. Instead of relying on bespoke integrations, an MCP server exposes defined tools, resources, and prompts over a unified protocol. This architecture enables AI coding assistants, desktop agents, and autonomous workflows to query databases, manipulate local files, execute terminal commands, and call external APIs with fine-grained control.
This directory catalogs 1186 active MCP servers structured across 20 functional domains. Developers can browse servers organized by target environment and capability, including Databases & Data Stores for querying relational and vector backends, Developer Tools & Code Intelligence for IDE enhancements, and DevOps, CI/CD & Version Control for deployment automation. Additional domains include Cloud & Infrastructure, Security & Compliance, Browser & Web Automation, AI Memory & Context, and Files, Documents & PDFs. Each category groups servers designed to grant models access to specific operational layers without requiring custom middleware.
Selecting the right MCP server depends on your client environment, transport protocol, and execution runtime. First, confirm compatibility with your AI client, such as Claude Desktop, Cursor, Windsurf, or custom agent runtimes built on the MCP SDK. Second, inspect the server transport type; most run locally over standard input/output (stdio), while others operate remotely via Server-Sent Events (SSE) or WebSockets. Finally, evaluate the required permission scopes and authentication mechanisms. Production workflows benefit from servers that enforce read-only modes or explicit confirmation prompts prior to executing destructive actions on your infrastructure.
| MCP server | What it connects to | Type | Repository |
|---|---|---|---|
| Momento MCP Server | Momento MCP Server is an MCP server that provides an interface to Momento's serverless caching service for AI agents and | Unknown | https://github.com/momentohq/mcp-momento |
| MCP Vertica | MCP Vertica is an MCP server that connects large language model clients to Vertica analytical databases for querying, schema inspection, | Unknown | https://github.com/nolleh/mcp-vertica |
| MySQL MCP | MySQL MCP is an MCP server that provides Model Context Protocol clients with direct access to MySQL databases for schema | Unknown | https://github.com/Gcluowenqiang/Mysql-mcp |
| MCP Zotero | MCP Zotero is an MCP server that integrates Claude and other Model Context Protocol clients with your personal Zotero reference | Open Source | https://github.com/kaliaboi/mcp-zotero |
| mcpGW | mcpGW is an MCP server that acts as a gateway and proxy designed to simplify how applications connect with and | Unknown | https://github.com/thirdmartini/mcpgw |
| Next.js MCP Server | Next.js MCP Server is an open-source template and implementation for hosting Model Context Protocol servers inside a Next.js web application | Open Source | https://github.com/run-llama/mcp-nextjs |
| Memory-Plus | Memory-Plus is an MCP server that provides a lightweight, local Retrieval-Augmented Generation (RAG) memory store for AI agents across different | Open Source | https://github.com/Yuchen20/Memory-Plus |
| O'RLY Book Cover Generator | O'RLY Book Cover Generator is an MCP server that produces O'RLY parody book covers and displays the generated images directly | Unknown | https://github.com/charleshberlin/O-RLY-Book-Generator |
| Turso Cloud | Turso Cloud is an MCP server that integrates Turso databases with large language models through a secure two-level authentication model. | Unknown | https://github.com/spences10/mcp-turso-cloud |
| Tushare MCP | Tushare MCP is an MCP server that connects AI assistants like Claude Desktop and Cursor to financial market data from | Unknown | https://github.com/buuzzy/tushare_MCP |
An MCP server is an application that implements the Model Context Protocol to expose data, tools, and prompts to AI assistants. It standardizes how models read external context and trigger actions in external systems.
Clients supporting MCP include Claude Desktop, Cursor, Windsurf, Continue, and various open-source autonomous agent frameworks that implement the Model Context Protocol client specifications.
The majority of MCP servers are open-source and free to run locally. However, some servers interface with third-party commercial APIs, cloud providers, or proprietary platforms that require paid subscriptions or API keys.
Developers can submit a server by providing its repository link, documentation, supported transport protocols (stdio or SSE), license type, and category classification through the FastPedia submission form.
Listings are ranked using objective criteria, including repository maintenance activity, implementation completeness, documentation quality, community usage signals, and protocol compliance.
MCP servers execute locally with the permissions of the host environment. Users should inspect server source code, verify required file system and network privileges, and configure client-side approval prompts before granting execution rights.