ANAnbani
Community
Provides a Model Context Protocol (MCP) server for the Anbani Georgian Language Toolkit.
Directory
MCP Server Directory
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
MCP Servers listings
AN
Anchor
CommunityFacilitates integration between LLM applications and Anchor programs via the Model Context Protocol (MCP).
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Android Mobile
CommunityAutomates interactions with Android devices, bridging the Model Context Protocol with device capabilities.
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Androidbuild
CommunityBuilds Android projects and provides error feedback to Large Language Models.
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Angular Toolkit
CommunityProvides Angular project analysis and refactoring capabilities for Large Language Models.
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Animated Video
CommunityExecutes Manim animation code via an MCP server to generate and return videos.
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Ankr
CommunityFetches on-chain blockchain data via the Ankr API for use with Large Language Models.
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Ankr Advanced API
CommunityEnables AI models to fetch blockchain data and perform various operations using Ankr's Advanced APIs.
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Ansible Tower
CommunityEnables Large Language Models (LLMs) to interact with Ansible Tower.
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Anthropic Prompt
AnthropicProvides an MCP server to interact with Anthropic's experimental prompt engineering APIs.
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Anthropic Sse Client
AnthropicFacilitates interaction with Model Control Protocol (MCP) servers using Server-Sent Events (SSE) in Python.
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AnyCrawl
CommunityProvides advanced web scraping, crawling, and search capabilities, integrating with large language model clients via the Model Context Protocol.
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Aoc
CommunityInteracts with the Advent of Code website to simplify puzzle-solving.
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Aoirint
CommunityMonitors the status of Minecraft Bedrock and Java servers via a headless setup with an HTTP JSON API.
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Apache Cassandra by CData
CommunityEnables querying of live Apache Cassandra data from Claude Desktop using CData JDBC Drivers.
Apache Hadoop Hive by CData
CommunityEnables connecting to Apache Hadoop Hive data from Claude Desktop through CData JDBC Drivers.
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Apex
CommunityProvides an API interface for comprehensive X (Twitter) management, enabling actions like tweeting, replying, and searching.
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API
CommunityDefines and executes API tools using the Model Context Protocol, offering a lightweight and extensible server.
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API Aggregator
CommunityAggregates external API data, including weather, news, and financial information, into a single, consistent interface for AI agents and large language models.
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Api Doc
CommunityManages and retrieves OpenAPI documentation for inspecting and interacting with APIs.
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API Editor
CommunityCreate and edit JSON configuration files, converting Postman collections to MCP API configurations.
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Api Market
CommunityExposes API Market's endpoints as Model Context Protocol (MCP) resources, allowing Large Language Models to discover and interact with over 200 APIs defined by OpenAPI specificati…
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API Server
CommunityProvides HTTP API calling capabilities for Model Context Protocol (MCP) clients.
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Api Service
CommunityEnables interaction with system APIs using the Model Context Protocol (MCP).
What Are MCP Servers?
MCP (Model Context Protocol) servers are tools that connect AI assistants like Claude, Cursor, and other AI coding tools to external data sources, APIs, and services. They enable AI models to access real-time information, execute code, interact with databases, and perform actions beyond their base capabilities. Check out our curated collection of the best MCP servers for Cursor →
How MCP Servers Work
MCP servers act as intermediaries between AI assistants and external systems. When you ask Claude or Cursor to perform a task requiring external data, the MCP server handles the request, fetches the data, and returns it in a format the AI can understand and use.
Types of MCP Servers
- Code Completion Servers: Enhance AI coding assistants with context from your codebase, documentation, and project structure.
- API Integration Servers: Connect AI to REST APIs, GraphQL endpoints, and web services for real-time data access.
- File Management Servers: Enable AI to read, write, and organize files in your development environment.
- Data Analysis Servers: Connect AI to databases, data warehouses, and analytics tools.
Choosing the Right MCP Server
When selecting an MCP server, consider:
- IDE Compatibility: Ensure it works with Cursor, VS Code, or your preferred editor
- Use Case Match: Choose servers designed for your specific needs
- Maintenance Status: Prefer actively maintained servers with recent updates
- GitHub Activity: Higher stars and recent commits indicate quality
Popular Use Cases
- AI-Powered Code Completion Enhance Cursor and Claude with project-specific context.
- Automated API Testing Connect AI to your APIs for intelligent testing and debugging.
- Database Querying Let AI write and execute SQL queries against your databases.
For detailed setup guides, see our Complete MCP Server Setup Guide →
Frequently Asked Questions About MCP Servers
Everything you need to know about installing, using, and troubleshooting Model Context Protocol.
How do I install MCP servers in Cursor?
To install MCP servers in Cursor: 1) Open Cursor settings (Cmd+,), 2) Navigate to MCP Servers section, 3) Click 'Add Server', 4) Enter server configuration (name and command), 5) Restart Cursor. Check out our curated collection of the best MCP servers for Cursor with detailed setup guides.
What's the difference between MCP servers and VS Code extensions?
MCP servers are protocol-level integrations that work across multiple AI assistants (Claude, Cursor, etc.), while VS Code extensions are editor-specific. MCP servers provide context to AI models, whereas extensions add IDE functionality. MCP is more portable and AI-focused.
Are these MCP servers free to use?
Most MCP servers listed are open-source and free. Some enterprise connectors (like Salesforce or Jira) may require paid API access to the underlying service, but the MCP server code itself is usually free.
Can I build my own MCP server?
Yes! The Model Context Protocol is open standard. You can build servers in Python or TypeScript/Node.js to expose your own internal APIs or databases to Claude and Cursor.
What is a Model Context Protocol (MCP) server?
An MCP server is a lightweight program that exposes specific capabilities (data access, tool execution, prompts) to AI assistants through a standardized protocol. MCP servers allow Claude and other AI models to securely interact with external systems like databases, APIs, file systems, and web services while maintaining security boundaries.
How do MCP servers work with Claude?
MCP servers connect to Claude Desktop or other MCP-compatible clients through a standardized JSON-RPC protocol. When you configure an MCP server in Claude Desktop, Claude can access its resources (data/content), use its tools (functions to execute), and leverage its prompts (templated interactions). The protocol ensures secure, controlled access to external capabilities.
What are the best MCP servers to start with?
Essential MCP servers for beginners include: Filesystem (local file access), SQLite/PostgreSQL (database queries), GitHub (repository access), Brave Search (web search), and Memory (persistent context). These cover common use cases and have excellent documentation. Start with 2-3 servers and expand based on your needs.
How do I install and configure MCP servers?
Most MCP servers install via npm (npx) or Python (uvx/pip). Configure them in Claude Desktop's config file (claude_desktop_config.json) by specifying the command, arguments, and any required environment variables like API keys. Our directory links to each server's documentation with specific installation instructions.
Are MCP servers secure?
MCP servers run locally on your machine with explicit permissions you configure. They can only access resources you authorize, and Claude cannot bypass these boundaries. However, always review server code, use official/verified servers when possible, limit permissions to what's necessary, and be cautious with servers that request broad access.
What's the difference between MCP resources, tools, and prompts?
Resources are data sources Claude can read (files, database results, API responses). Tools are functions Claude can execute (run queries, send messages, create files). Prompts are pre-defined templates for common interactions. Most MCP servers expose one or more of these capability types.
Which AI clients support MCP besides Claude Desktop?
MCP is supported by Claude Desktop (official), Cursor IDE, Continue (VS Code extension), and various community implementations. The protocol is open, so support is expanding to more AI development tools. Check our compatibility filters to find servers tested with your preferred client.
How often is this MCP servers directory updated?
Our MCP servers directory is updated weekly with new servers, documentation improvements, and compatibility updates. We monitor GitHub releases, community contributions, and Anthropic announcements to ensure our listings reflect the latest MCP ecosystem developments.
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