RSRubik's Cube
Community
Provides an AI-driven server for solving and visualizing Rubik's Cube puzzles through the Model Context Protocol.
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
SF
S3 File Manager
CommunityEnables seamless upload, download, and management of files in Amazon S3 buckets, optimized for AI workflows and Model Context Protocol clients.
SA
Safari
CommunityEnables programmatic control of the Safari browser on macOS, facilitating web automation, testing, and debugging with AI assistants.
SA
Safari Automation
CommunityEnables AI assistants to automate and interact with the Safari browser, accessing developer tools and performing actions.
S5
Sage 50 UK
CommunityProvides read-only access to Sage 50 UK data, enabling connections from AI clients like Claude Desktop via CData JDBC Drivers.
Sage Cloud Accounting
CommunityEnables natural language querying of live Sage Cloud Accounting data from AI clients like Claude Desktop.
SB
SAP BTP OData AI Interface
CommunityExposes SAP OData services as dynamic MCP tools to enable natural language interactions with ERP data, acting as a hierarchical tool registry.
SAP BusinessObjects BI
CommunityEnables querying live SAP BusinessObjects BI data from AI clients like Claude Desktop through CData JDBC Drivers.
SL
Sauce Labs
CommunityEnables AI assistants to interact with the Sauce Labs testing platform, managing device clouds, test jobs, and infrastructure through natural language.
SC
Scenext
CommunityGenerates educational explanation videos based on topics using the Scenext AI video generation platform.
SC
Scenic
CommunityEnables AI-driven automation and testing for Scenic Elixir applications.
SC
Screeny
CommunityEnables AI models to capture screenshots of specific application windows on macOS, providing visual context for development and debugging.
SG
Script Generator
CommunityGenerates scripts based on a provided topic and keywords using multiple agents for refinement.
SA
SDLC Agent Workflow
CommunityAutomates key aspects of software development, from meeting transcription and AI analysis to comprehensive documentation generation and mobile testing.
SD
Sdof
CommunityManages persistent memory and context for AI systems through a structured 5-phase optimization workflow.
SB
Seat Booking Agent
CommunityAutomates airline seat reservations through intelligent agent interactions.
SC
Secure Chain
CommunityProvides context about software supply chains to large language models and AI agents.
Automates the installation and containerization of other Model Context Protocol (MCP) servers directly from GitHub repositories.
SE
Sei
CommunityEmpowers AI assistants and agents to interact with the Sei blockchain and the broader Web3 ecosystem through a unified interface.
SA
Selector AI
CommunityImplements the Model Context Protocol (MCP) for Selector AI, providing a streaming-capable server and interactive client.
SP
Selenium Python
CommunityEnables large language models or external tools to interact with a browser through a standardized Model Context Protocol for automation.
SL
Self-Learning
CommunityAutonomously learns from interactions to optimize AI agent performance and continuously improves its knowledge base through machine learning techniques.
SC
Sentinel Core Agent
CommunityOrchestrates interactions between users, large language models, and a suite of tools for automation and information retrieval.
SI
Sentry Issues
CommunityRetrieves Sentry issue details or lists of issues for analysis and debugging.
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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