Bargainer
Finds and compares shopping deals from multiple online sources through an interactive web chat interface.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Finds and compares shopping deals from multiple online sources through an interactive web chat interface.
Enables LLMs to perform blockchain operations on the Base network through natural language commands.
Encodes and decodes text and images to and from Base64 format, integrating seamlessly into AI workflows.
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Offers fundamental mathematical operations, such as addition and subtraction, to integrate with AI clients via a Model Context Protocol server.
Provides seamless access to economic and financial time series data from the Central Reserve Bank of Peru (BCRP) via a standardized Model Context Protocol interface.
Integrates AWS Bedrock models with the Model Context Protocol, offering a full-featured web interface for interactive language model interactions.
Enables AI assistants to manage Beeminder goals and data through the Model Context Protocol.
Coordinates work between multiple AI agents in shared codebases using a simple file-based signaling system to prevent conflicts.
Enables AI assistants to interact with Metabase for accessing and querying data.
Optimizes browser automation for AI assistants by reducing web page content by up to 90% using an innovative semantic snapshot algorithm.
Integrates I Ching divination with AI responses, exploring the bibliomantic approach described in Philip K. Dick’s The Man in the High Castle.
Connects AI tools and IDEs to your product documentation through a hosted Retrieval-Augmented Generation (RAG) layer.
Executes SQL queries against Google BigQuery, providing query validation and safe execution features.
Enables real-time voice translation between languages, powered by lightning-fast AI inference.
Enables natural language interaction with Binalyze AIR's digital forensics and incident response capabilities via a Model Context Protocol (MCP) server.
Monitors real-time Binance Alpha trades, providing data and tools for AI agents to optimize alpha point accumulation.
Streams the latest Binance announcements to AI agents in real time, facilitating instant analysis and action.
Manages workflows and Docker image building for Bio-OS instance platforms.
Exposes Bitcoin blockchain data to AI agents through a Model Context Protocol (MCP) server, enabling access to real-time blockchain information without wallet functionality.
Provides direct access to essential on-chain Bitcoin data, tracking Unspent Transaction Outputs (UTXO) and block statistics.
Facilitates interaction with multiple AI providers through a terminal-based chat application.
Provides AI assistants with seamless access to perfume collection data, enabling discovery and direct purchasing.
Offers an enterprise-grade AI agent service, integrating professional agents and comprehensive MCP tools.
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.