C64
Provides a comprehensive server for developing BASIC and Assembly Language programs for the Commodore 64.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Provides a comprehensive server for developing BASIC and Assembly Language programs for the Commodore 64.
Provides weather data queries using the Caiyun Weather API through a Model Context Protocol (MCP) server.
Integrates with Cal.com Calendar API to provide appointment scheduling functionalities.
Provides advanced mathematical and financial calculation tools for AI code assistant integration.
Provides mathematical calculation services based on the MCP protocol and SymPy library, delivering symbolic computation capabilities.
Demonstrates the Model Context Protocol's deprecated HTTP + Server-Sent Events (SSE) transport for educational purposes.
Provides a foundational Model Context Protocol (MCP) calculator server demonstrating secure and performant inter-process communication via standard input/output streams.
Enables AI assistants to manage Google Calendar through natural language interactions with auto authentication support.
Enables management of Google Calendar events through a Model Context Protocol (MCP) server.
Searches and retrieves detailed information about academic conferences and events from WikiCFP.
Provides a Model Context Protocol (MCP) server interface to the CanLII API, enabling AI assistants to access Canadian legal information.
Remotely controls Canon cameras via the Canon Camera Control API (CCAPI) using FastMCP for streamable HTTP transport.
Organizes a variety of software tools into categories.
Bridges the Capacities.io API with various clients like Claude Desktop, Genspark, and IDEs using the Model Context Protocol.
Enables AI agents to manage Kubernetes clusters by providing a secure, standardized interface to the Cluster API (CAPI).
Generates presentations from outlines and provides an outline generation service, designed for use with cappt.cc.
Streamlines Cardano blockchain integration by providing access to documentation, tools, and best practices for application developers.
Provides agentic search capabilities with support for vector search using Qdrant, full-text search using TiDB, or both combined within a Model Context Protocol (MCP) server.
Provides an MCP server for comprehensive job search functionality powered by the Careerjet API.
Provides an MCP-compliant server for searching jobs and accessing job details via the Careerjet API.
Provides an MCP server for Rust's package manager, crate registry, and documentation system.
Provides an MCP server to manage, build, check, and search Rust documentation locally.
Enables Claude to search and compare furniture on Casalist.de, Germany's leading furniture comparison platform, via a Model Context Protocol (MCP) server.
Integrates AI tools and agents with Cashfree APIs (Payment Gateway, Payouts, and SecureID) using the Model Context Protocol (MCP).
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.