IQIqWiki
Community
Provides Model Context Protocol (MCP) access to IQ.wiki data for use by AI assistants and other compatible clients.
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
IS
Isolator
CommunityExecutes code securely in isolated containers via the Model Context Protocol.
IS
Istio
CommunityProvides AI assistants with read-only access to Istio service mesh resources and Envoy proxy configurations in Kubernetes clusters.
IA
ITAC AI Agent
CommunityIntegrates Large Language Models with cloud infrastructure and the Model Context Protocol to enable intelligent, secure, and auditable AI agentic behavior.
JA
Jailbreak
CommunityBypasses limitations in MCP clients by providing a server wrapper that enables full Model Context Protocol support.
JA
Jarvis
CommunityProvides a zero-friction Model Context Protocol (MCP) server that safely and deterministically connects AI agents to the real operating system with high performance.
Retrieves Java conference data, including CFP information and dates, by parsing a GitHub Markdown repository using Spring Boot and Spring AI.
JA
Jayrah
CommunityEnhance Jira workflows from the terminal using fuzzy search and AI-powered command palette capabilities.
JE
JBang Examples
CommunityDemonstrates how to interact with Language Model (LLM) from MCP Servers using JBang, Quarkus, and Langchain4j.
JE
JeffersonStats
CommunityOffers over 40 statistical analysis tools for AI assistants, encompassing descriptive statistics, hypothesis testing, and regression analysis through an MCP server.
JI
Jenkins Intelligence
CommunityTransforms Jenkins operations with an AI-powered natural language interface for comprehensive pipeline analysis and optimization.
JC
JetBrains Code Inspections
CommunityProvides JetBrains IDE code inspections via an MCP server with automatic IDE detection and a unified inspection profile.
JI
Jinja2
CommunityProvides a production-ready Jinja2 template rendering service, empowering AI applications with robust template processing capabilities.
JC
Jira Confluence
CommunityIntegrates Atlassian Jira and Confluence to allow AI assistants direct interaction with these platforms.
JC
Jira Connector
CommunityEnables AI assistants to interact with and manipulate JIRA issues directly.
JM
JMX
CommunityEnables AI assistants to monitor and manage Java applications via JMX through natural language, providing real-time MBean discovery and operation execution.
JU
Job URL Analyzer
CommunityAnalyzes job URLs to extract detailed company information, enriching data through intelligent web crawling and external providers.
JO
JobApply
CommunityAnalyzes job postings and optimizes resumes and cover letters to aid in the job application process.
JO
Jokes
CommunityProvides a standardized interface for AI models to access a variety of jokes, including Chuck Norris and Dad jokes.
JE
JR East Delay
CommunityRetrieves delay information for JR East railway lines via an MCP server.
JM
Js-mcp
CommunityEnables AI assistants to execute JavaScript code with stateful REPL sessions.
JQ
JSON Query
CommunityEnables AI agents to query and extract data from large JSON files.
JU
Juyiting
CommunityEnables intelligent AI persona collaboration and analysis through a Model Context Protocol (MCP) client.
K8sWizard
CommunityManage Kubernetes clusters and automate operations using AI-powered natural language interfaces.
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.
- Guide · 12 min
Top 20 MCP Servers for Cursor Users (2025)
- Guide · 8 min
MCP Server Curation Guide 2025
- Security · 7 min
MCP Server Security Best Practices 2025