CyberSec
Provides an AI-agent-driven server with a Gradio UI for penetration testing and purple team operations.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Provides an AI-agent-driven server with a Gradio UI for penetration testing and purple team operations.
Provides blue team cybersecurity tools for threat intelligence, indicator of compromise (IOC) analysis, and defensive security operations.
Retrieves the latest cybersecurity news from various websites and integrates with Claude Desktop.
Automates Windows cybersecurity defenses by exposing system tools as HTTP APIs for integration with AI agents and custom scripts.
Enables large language models to explore and analyze local codebases through a compiled C# service.
Verifies Dafny code using the Model Context Protocol, enabling integration with tools like Claude.
Enables interaction with the Daft.ie API for searching and retrieving rental property information.
Transforms digital asset discovery for enterprise DAM systems by understanding natural language requests and delivering precise results.
Integrates a comprehensive Model Context Protocol (MCP) server with LightRAG API, offering 22 tools for document management, querying, knowledge graph operations, and system manag…
Aggregates live governance proposals from major DAOs, enabling real-time tracking and analysis of decentralized decision-making.
Provides a query interface to understand the capabilities and rules of Dart class modifier combinations.
Provides public disclosure information for Korean companies, powered by the dartpoint.ai API.
Unifies and expands access to multiple Model Context Protocol (MCP) servers by organizing them into flexible streaming HTTP (SSE) endpoints.
Performs comprehensive statistical data analysis, including time series, correlation, causality, and quality checks, through a RESTful API.
Provides an HTTP API endpoint for a Model Context Protocol (MCP) server, enabling access to data from diverse open-access publishers using an LLM and search API.
Investigates data across diverse sources by connecting to both local and external Micro-Capability Providers (MCPs).
Extracts embedded data and SVG components from TypeScript/JavaScript source code into structured JSON and SVG files.
Enables interaction with the Data.gouv.fr API, specifically the API Recherche Entreprises, via HTTP+SSE transport.
Provides a standardized interface for data preprocessing, transformation, and analysis tasks within the Model Context Protocol ecosystem.
Provides a comprehensive Model Context Protocol server for accessing the Korean National Library API, offering over 25 specialized tools for book and library search, popular trend…
Locates the path to the uv executable.
Expose API endpoints from a Databutton app as Language Model (LLM) tools for use in MCP-compatible clients.
Query raw data files and MCP-generated results using natural language or SQL.
Provides datasets and statistical libraries for JSer.info, a JavaScript information website.
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.