DRDeep Research Assistant
Community
Automates complex research challenges and generates comprehensive reports through intelligent AI orchestration and human-in-the-loop interaction.
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
DE
DeepClaude
CommunityCombines DeepSeek and Claude AI models to deliver enhanced and comprehensive AI responses.
DE
Deepin
CommunityConnects to Machine Conversation Protocol servers and interacts with them using OpenAI language models.
DQ
Deepseek Qgis
CommunityConnects QGIS to Claude AI, enabling prompt-assisted project creation, layer manipulation, and code execution through the Model Context Protocol (MCP).
DR
Deepseek R1 Reasoner
CommunityEnables locally runnable technical agent systems by utilizing Deepseek R1 for reasoning and coupling it with a tool-calling model.
DE
DeepSource
CommunityEnables AI assistants to access and utilize code quality metrics and analysis results from DeepSource.
DE
Defcon
CommunityEnables AI to play the game DEFCON via a Model Context Protocol server.
DE
DefectDojo
CommunityConnects LLMs to DefectDojo, enabling AI-powered security workflows through a Model Context Protocol server.
DT
Deliberate Thinking
CommunityFacilitates structured thinking for AI assistants by breaking down complex problems into sequential, revisable thoughts.
DE
Delpha
CommunityProvides an AI-driven server for comprehensive data quality assessment and enrichment within MCP-compatible environments.
DM
Demcp Meson
CommunityFacilitates cross-chain asset transfers using the Meson Protocol with a conversational interface.
DI
Desktop Image Manager
CommunityManages desktop images by providing functionalities for image file statistics, viewing details, and compression.
DI
Detect It Easy
CommunityEnables AI agents to leverage Detect It Easy for analyzing executable files via an MCP server.
DE
Devcontainers
CommunityIntegrates Model Context Protocol (MCP) with the devcontainers CLI for managing development environments.
DS
Developer Server
CommunityIntegrates extensive documentation access with isolated code testing in containerized environments to streamline development workflows.
DE
DevEnvInfoServer
CommunityProvides detailed information about your development environment to enhance code editor assistance.
DE
Devlog
CommunityProvides a persistent memory system to combat AI memory loss in large-scale coding projects.
DB
DevOps Bridge
CommunityConnect DevOps platforms via a natural language interface using AI.
DE
DevStandards
CommunityProvides a queryable collection of software development standards and best practices for AI agents.
DE
Devtools
CommunityEmpowers AI assistants with agentic coding capabilities through direct file operations, Git management, and terminal command execution.
DK
DEX K-line
CommunityStreams K-line (candlestick) data from decentralized exchanges (DEXs) to power AI agents and workflows.
DT
Diagnostics Trae
CommunityEnables Trae IDE's AI agents to access real-time code errors and warnings for intelligent analysis and suggestions.
DS
Diagram Server
CommunityGenerates, manages, and stores Mermaid diagrams and mind maps from various data formats with automatic persistence.
DR
Dice Rolling
CommunityProvides comprehensive dice rolling capabilities with advanced gaming mechanics for AI assistants via a Model Context Protocol server.
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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