MCPFinder

Provides access to 135+ animated React components from ReactBits.dev with intelligent caching, quality scoring, and dependency detection for building modern UI applications with animations, backgrounds, text effects, and interactive elements.

GitHub

Official Remote

Extend your developer tools with the GitHub MCP Server—a powerful Model Context Protocol server enhancing automation and AI interactions with GitHub APIs. It supports diverse functionalities like managing workflows, issues, pull requests, repositories, and security alerts. Customize available toolsets to fit your needs, enable dynamic tool discovery to streamline tool usage, and run the server locally or remotely. With read-only mode and support for GitHub Enterprise, this server integrates deeply into your GitHub ecosystem, empowering data extraction and intelligent operations for developers and AI applications. Licensed under MIT, it fosters flexible and advanced GitHub automation.

Desktop Commander

Official

Desktop Commander MCP transforms Claude Desktop into a powerful AI assistant for managing files, running terminal commands, and editing code with precision across your entire system. It supports in-memory code execution, interactive process control, advanced search and replace, plus comprehensive filesystem operations including reading from URLs and negative offset file reads. With detailed audit and fuzzy search logging, it enables efficient automation, data analysis, and multi-project workflows—all without extra API costs. Designed for developers seeking smarter automation, it enhances productivity by integrating all essential development tools into a single, intelligent chat interface.

Unlock seamless design-to-code with Framelink Figma MCP Server, letting AI coding tools access your Figma files directly. It simplifies Figma API data to supply only relevant design layouts and styles, boosting AI accuracy in implementing designs across frameworks. Specifically built for use with tools like Cursor, it transforms design metadata into precise code in one step. This server streamlines the workflow by providing clean, focused context, enabling faster and more reliable design-driven development. Enjoy a powerful bridge between design and coding that enhances productivity and code quality with minimal fuss.

Control browsers to perform sophisticated web interactions and visual tasks.

Install and configure additional MCP servers dynamically.

Provides efficient access to NPM/Go/Python package documentation through smart parsing and caching, enabling quick retrieval of up-to-date library information.

Microsoft Docs

Official Remote

Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.

Integrates with Ollama for local large language model inference, enabling text generation and model management without relying on cloud APIs.

Integrates Ollama's local LLM models with MCP-compatible applications, enabling on-premise AI processing and custom model deployment while maintaining data control.

Discovery and recommendation service that helps find and understand available MCP services based on natural language queries, supporting multiple search backends for exploring servers by semantic similarity.

Aggregates multiple MCP servers into a single unified interface, reducing system resource usage and simplifying configuration management with dynamic reloading and tag-based filtering capabilities.

Unifies multiple MCP servers into a single gateway with built-in search capabilities, enabling tools to be discovered and executed across different specialized services through one interface

Unified command-line launcher for discovering and running scientific research MCP servers from the Path Integral Institute's collection, using uvx to dynamically install and execute servers from local directories or remote Git branches with automatic dependency handling.

Utility server that automatically reads Claude Desktop configuration files and presents all available MCP services in an easy-to-copy format for quick access and troubleshooting.

Microsoft Docs

Official Remote

Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.

Integrates with the official Model Context Protocol registry to provide server discovery, metadata retrieval, version information, and health status monitoring with filtered searches and pagination support.

M

mcpx

Official Remote

Dynamic, reprogrammable MCP Server. You use it to discover and install other MCP servers from mcp.run, which then appear in your MCP Client ready to use - no additional configuration needed.

Provides searchable access to the complete MCP specification document using fuzzy search capabilities, enabling quick retrieval of protocol details through predefined section queries like 'Introduction', 'Core components', 'Connection lifecycle', 'Resources', 'Tools', and 'Authorization'.

Streamlines MCP server installation and configuration within Cursor IDE, automatically handling environment setup and creating necessary configuration entries in mcp.json.