SQL Server
Connects AI assistants to Microsoft SQL Server databases, offering 23 advanced tools for comprehensive database exploration and management.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Connects AI assistants to Microsoft SQL Server databases, offering 23 advanced tools for comprehensive database exploration and management.
Enables users to query SQL Server databases using natural language and receive structured SQL responses.
Enables interaction with Microsoft SQL Server Express databases.
Exposes a SQLite database as an MCP server with table schemas, read-only SQL query capabilities, and prompt templates for data analysis.
Provides read-only access to SQLite databases via a lightweight server.
Provides a comprehensive Model Context Protocol (MCP) server for accessing the STRING protein interaction database, enabling powerful tools for protein network analysis, functiona…
Exposes Supabase PostgreSQL database schemas as resources and provides data analysis tools.
Offers a lightweight server implementation for Supabase projects, simplifying common database, storage, and authentication operations with minimal overhead.
Enables Large Language Models to interact with Supabase databases for CRUD operations.
Enables users to self-host the Model Context Protocol (MCP) server on macOS to query a Supabase PostgreSQL database.
Deploys a data querying server with an embedded database to AWS Lambda for advanced analytics.
Accesses the SureChEMBL chemical patent database to retrieve and analyze chemical structures and associated patent documents.
Enables Large Language Models (LLMs) to directly query live Tableau CRM Analytics data through a Model Context Protocol (MCP) interface.
Facilitates production-ready DeFi operations and analytics on the Telos blockchain via the Model Context Protocol.
Provides a Model Context Protocol (MCP) server and client for interacting with the Tensorus tensor database, enabling AI agents and LLMs to manage and manipulate tensor data.
Unifies data extraction and parsing from messaging platforms, standardizing information for analytics and AI applications.
Provides a secure database query service, built on the FastMCP framework, for robust database querying and analysis.
Enables AI models and agents to translate natural language into database queries and execute them against SQL/Graph databases.
Manages encryption operations for Microsoft SQL and Oracle databases, integrating with Thales CipherTrust Manager via CAKM.
Connect AI agents to Tigris object storage for seamless bucket and object management.
Integrates AI assistants with TikTok advertising campaigns for comprehensive management, analytics, and optimization.
Enables chat interactions leveraging Retrieval-Augmented Generation (RAG), a database, and server capabilities.
Manages persistent task storage and retrieval for AI assistants via the Model Context Protocol (MCP).
Integrates with The Movie Database (TMDB) to provide structured access to film and TV show data via the Model Context Protocol.
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 →
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.
When selecting an MCP server, consider:
For detailed setup guides, see our Complete MCP Server Setup Guide →
Everything you need to know about installing, using, and troubleshooting Model Context Protocol.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.