General MCP Information

• https://www.anthropic.com/news/model-context-protocol
• https://mcpilled.com/

General MCP Directories/Collections

Primary Directories and Registries

• Official MCP Registry Repo

  • https://github.com/modelcontextprotocol/registry/
  • https://blog.modelcontextprotocol.io/posts/2025-09-08-mcp-registry-preview/

• Official MCP Project Repo

  • The official GitHub repository for MCP, containing core documentation and reference implementations.
  • Link: https://github.com/modelcontextprotocol/servers

• Smithery.ai

  • A large marketplace with thousands of MCP capabilities, usage metrics, and installation guides.
  • Link: https://smithery.ai

• Mastra Registry

  • A meta-registry that aggregates and lists other MCP server directories, acting as a central discovery hub.
  • Link: https://mastra.ai/mcp-registry-registry

• Cursor Directory

  • A curated collection of MCP servers with user ratings, optimized for integration with the Cursor IDE.
  • Link: https://cursor.directory/mcp

• MCP.so

  • A curated registry of verified, well-documented MCP servers that undergo quality checks for reliability.
  • Link: https://mcp.so

• Glama.ai

  • A directory of open-source MCP implementations that includes GitHub stats and maintenance indicators.
  • Link: https://glama.ai/mcp

• Awesome MCP Servers

  • A community-maintained "awesome list" on GitHub, categorizing notable MCP servers by function.
  • Link: https://github.com/punkpeye/awesome-mcp-servers

• HiMCP.ai

  • A directory that highlights server reliability and performance, featuring uptime stats and response time benchmarks.
  • Link: https://himcp.ai

• PulseMCP.com

  • A specialized registry for real-time data and streaming MCP servers, with compatibility info for popular AI models.
  • Link: http://PulseMCP.com

• APITracker.io

  • A resource for tracking MCP server API versions and changes to help developers maintain compatibility.
  • Link: https://apitracker.io

• MCPdb.org

  • A searchable database of MCP servers with filtering by functionality and region, including technical documentation.
  • Link: https://mcpdb.org

• MCPMarket.com

  • A marketplace for commercial, enterprise-grade MCP servers with clear pricing and support options.
  • Link: https://mcpmarket.com

• AIXploria.com

  • An editorial collection of reviewed MCP servers with use-case recommendations for specific applications.
  • Link: https://www.aixploria.com/en/list-best-mcp-servers-directory-ai/

• Portkey.ai

  • An enterprise-focused directory emphasizing security, compliance, and detailed data handling practices.
  • Link: https://portkey.ai/mcp-servers

• MCPServers.org

  • A community-maintained registry with user reviews, examples, and troubleshooting guides.
  • Link: https://mcpservers.org

• Cline.bot Marketplace

  • A marketplace optimized for the Cline AI assistant, featuring one-click integration for free and premium servers.
  • Link: https://cline.bot/mcp-marketplace

• https://mcpverse.dev/

• https://www.pulsemcp.com/servers

• https://www.mcpserverfinder.com/

MCP Usage Within Code Itself

• https://github.com/mcp-use/mcp-use - Create MCP Clients and Agents within code - see also https://mcp-use.com/

IDE SpecifiC MCP Directories

• https://cursor.directory/mcp - cursor
• https://windsurf.run/ - windsurf

Community Resources

• Reddit r/mcp
  • An active forum for MCP developments, implementation support, and real-world best practices.
  • Link: https://www.reddit.com/r/mcp/

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MCP Servers (General Development)

MCP Servers for Enhanced AI Development

This document outlines several Model Context Protocol (MCP) servers that enhance AI-assisted development by providing real-time, accurate, and persistent context.

Bright Data MCP Server

Provides real-time, unblocked access to public web data, allowing AI assistants to perform web scraping, data extraction, and browser automation tasks.

• Core Functionality: Enables LLMs to search the web, navigate websites, and retrieve data without being detected or restricted by location.
• Repo: https://github.com/brightdata/brightdata-mcp

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Knowledge Graph Memory Server

Understands and maps relationships between code components, preventing cascade errors during refactoring.

• Core Functionality: Maps component dependencies, analyzes impact of changes, and is ideal for large-scale refactoring and dependency analysis.
• Repo: https://github.com/modelcontextprotocol/servers

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Filesystem MCP Server

Gives the AI real-time access to the project's file structure, preventing broken imports and incorrect path references.

• Core Functionality: Reads, writes, and manages files and directories, and is ideal for file management and maintaining a consistent project structure.
• Repo: https://github.com/modelcontextprotocol/server-filesystem

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GitMCP

Provides the AI with full repository awareness, including history, branches, and commits, to prevent code conflicts.

• Core Functionality: Understands git history, prevents merge conflicts, and is ideal for team collaboration and feature branch development.
• Repo: https://gitmcp.io/

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Obsidian-MCP

Connects the AI to an Obsidian knowledge base, integrating personal notes, project documentation, and architectural decisions into the AI's context.

• Core Functionality: Accesses Obsidian notes, ensures alignment with documented requirements, and is ideal for documentation-driven development.
• Repo: https://github.com/polymath-ai/obsidian-mcp

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Tavily MCP

Adds developer-focused, AI-powered search to find contextually relevant information on libraries, frameworks, and best practices.

• Core Functionality: Performs intelligent search for technical topics, prevents use of outdated solutions, and is ideal for research and problem-solving.
• Repo: https://github.com/tavily-ai/tavily-python

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Sequential Thinking MCP

Enables the AI to break down complex tasks into logical, manageable steps, improving problem-solving and reducing errors from rushed implementations.

• Core Functionality: Structures problem-solving, identifies dependencies and edge cases, and is ideal for complex feature planning and system architecture.
• Repo: https://github.com/metaskills/sequential_thinking

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Fetch MCP Server

Allows the AI to retrieve and process web content, converting online documentation, tutorials, and resources into usable context.

• Core Functionality: Fetches and converts web content to markdown, provides real-time access to external resources, and is ideal for integrating with third-party APIs.
• Repo: https://github.com/davej/mcp-server-fetch

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ElevenLabs MCP

Enables AI agents to generate speech, clone voices, and transcribe audio using ElevenLabs' realistic voice technology.

• Core Functionality: Provides tools for text-to-speech, voice cloning, and audio transcription to give your AI agent a voice.
• Repo: https://github.com/elevenlabs/elevenlabs-mcp

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Firecrawl MCP

Allows AI agents to crawl entire websites, extract structured data, and perform deep research from a single prompt.

• Core Functionality: Turns websites into clean, structured data for market research, SEO audits, and competitive analysis.
• Repo: https://github.com/mendableai/firecrawl

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Supabase MCP

Provides direct, real-time database access for AI agents to create tables, read user data, and write to a Supabase backend.

• Core Functionality: Allows agents to interact with a Supabase database without complex authentication or backend setup.
• Repo: https://github.com/supabase-community/supabase-mcp

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Browserbase MCP

Empowers AI agents to control headless browsers to automate web tasks, simulate user actions, and navigate complex websites.

• Core Functionality: Turns an AI agent into a personal web assistant capable of booking appointments, filling forms, and more.
• Repo: https://github.com/browserbase/mcp-server-browserbase

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FastAPI MCP

Automatically converts a FastAPI application into a set of plug-and-play MCP tools with zero configuration. Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!

• Core Functionality: Exposes your existing FastAPI endpoints as tools for AI agents, preserving schemas and documentation.
• Repo: https://github.com/tadata-org/fastapi_mcp

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Agent Memory MCP Servers

Context7 MCP

Provides the AI with the latest, version-specific library documentation to prevent errors from outdated APIs and syntax.

• Core Functionality: Fetches current documentation, prevents use of deprecated APIs, and is ideal for projects with rapidly evolving frameworks.
• Repo: https://github.com/upstash/context7

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Memory Bank MCP Server

Creates persistent, centralized memory for the AI across all coding sessions, remembering project context, coding patterns, and architectural decisions.

• Core Functionality: Retains project-specific context, prevents repetitive work, and is ideal for long-term projects and team collaboration.
• Repo: https://github.com/alioshr/memory-bank-mcp

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MCP Servers for UI/UX Designers

This document provides a simplified overview of Model Context Protocol (MCP) servers tailored for UI/UX design workflows.

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Figma Context MCP Server

Translates Figma design files into clean, AI-readable data, extracting layout structure, color tokens, and spacing values for AI assistants.

• Core Functionality: Simplifies complex Figma file data, downloads images for analysis, and requires only a Figma API token to start.
• Repo: https://github.com/GLips/Figma-Context-MCP

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Cursor Talk to Figma MCP

Allows you to modify Figma designs using natural language commands within Cursor, connected via a WebSocket plugin.

• Core Functionality: Provides over 20 tools for creating and modifying design elements, managing components, and editing text directly through AI commands.
• Repo: https://github.com/sonnylazuardi/cursor-talk-to-figma-mcp

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21st.dev Magic AI Agent

Generates modern, production-ready UI components from plain English descriptions, complete with styling and responsive behavior.

• Core Functionality: Converts natural language to UI components, follows modern design patterns, and works with popular frameworks.
• Repo: https://github.com/21st-dev/magic-mcp

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Web UX Evaluator

Analyzes live websites to provide detailed UX feedback, identifying usability issues, accessibility problems, and design improvements.

• Core Functionality: Performs automated UX and accessibility audits, generates actionable reports, and explains the reasoning behind its recommendations.
• Repo: https://github.com/Operative-Sh/web-eval-agent

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MCP Figma to React Converter

Converts Figma designs directly into clean, maintainable React components styled with Tailwind CSS.

• Core Functionality: Automates the design-to-development workflow, handles responsive breakpoints, and adds accessibility attributes.
• Repo: https://github.com/StudentOfJS/mcp-figma-to-react

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Figma Dev Mode MCP Server

Figma's native integration for bridging design and development, providing direct access to design tokens, component specifications, and developer handoff features.

• Core Functionality: Offers official, reliable integration with Figma's ecosystem, aligning with its development roadmap.
• Resource: Figma Dev Mode MCP Server Guide

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MCP-Miro

Connects your AI assistant to Miro boards, allowing it to read, create, and manage board content like sticky notes and shapes programmatically.

• Core Functionality: Turns brainstorming sessions into structured digital content and facilitates visual collaboration through AI commands.
• Repo: https://github.com/evalstate/mcp-miro