JOJooby
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Integrates a Model Context Protocol (MCP) server into Jooby applications.
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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
JO
Joomla
CommunityEnables AI assistants to manage content on Joomla websites via the Joomla Web Services API.
JO
Jos
CommunityProvides Model Context Protocol (MCP) servers based on the MCP Template for accessing documentation.
JO
Joseph
CommunityProvides an example implementation of a Message Communication Protocol (MCP) server using the FastMCP framework.
JO
Jotsu
CommunityImplements the Model Context Protocol (MCP) for authentication and other purposes.
JO
Journal
CommunityManages journal entries through a Model Context Protocol (MCP) server with a web viewer.
JO
Journaling
CommunityFacilitates interactive journaling sessions with emotional analysis and automatic saving.
JS
JP's Collection
CommunityOffers a comprehensive suite of Model Context Protocol (MCP) modules for AI assistants, enabling system operations, Google services integration, and advanced text processing.
JS
JS Sandbox
CommunityProvides a secure JavaScript execution environment for isolating and running code.
JS
JSON
CommunityManages and transforms JSON data using `jq` queries, generates and validates schemas, and supports S3 synchronization.
JB
JSON by CData
CommunityExposes JSON data as a read-only Model Context Protocol (MCP) server for querying by Large Language Models.
JL
Json Logs
CommunityEnables analysis of JSON-formatted log files through an MCP client.
JS
Json Schema
CommunityManages JSON schemas and generates instances from them.
JS
JSON Skeleton
CommunityGenerates compact, structural representations of large JSON files to facilitate understanding without the full data payload.
JT
JSON to Excel
CommunityTransforms JSON data from strings or URLs into CSV format for seamless integration with spreadsheet applications.
JR
JSON-RPC Client and Server Example
CommunityDemonstrates a basic JSON-RPC client and server implementation using Node.js.
JS
JsonCanvas
CommunityImplements a Model Context Protocol (MCP) server for creating, modifying, and validating JSON Canvas files.
JU
Jupiter
CommunityEnables Claude to interact with Jupiter's swap API on the Solana blockchain.
JE
Jupyter Earth
CommunityEnables geospatial analysis in Jupyter notebooks through a Model Context Protocol (MCP) server implementation.
JE
Just Every Tasks
CommunityOrchestrates long-running AI tasks with state-of-the-art LLMs, offering real-time progress monitoring and automated problem-solving strategies.
JA
JWT Auditor
CommunityAudits JSON Web Tokens using a suite of advanced security tools via an MCP server.
JT
JXLS Template Generator
CommunityGenerates Excel template files conforming to JXLS specifications via the Model Context Protocol (MCP).
KB
K-Beauty
CommunityProvides personalized Korean Beauty information, skin analysis, and product recommendations through real-time web search and curated knowledge.
KA
K8s AI Assistant
CommunityStreamlines Kubernetes cluster management by integrating AI-powered command assistance with visual Rancher UI extensions.
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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