ServerHub is an MCP server marketplace that helps developers discover, evaluate, and install Model Context Protocol servers for Claude, Cursor, and VS Code. We quality-score 200+ servers and provide community reviews to help you find reliable integrations.
The searchable marketplace for Model Context Protocol servers. 88+ servers with quality scores, community reviews, and one-click install for Claude, Cursor, and VS Code.
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ServerHub is the definitive registry for Model Context Protocol servers — the standard that extends Claude, ChatGPT, and other AI models with custom tools and integrations. Whether you need data connectors, code analysis tools, or specialized integrations, discover vetted servers with community ratings, installation instructions, and real-world use cases. All servers are scored on quality metrics including GitHub activity, documentation, and reliability.
Multi-service toolkit for Tavily and Firecrawl signup automation, key validation, and isolated proxy pools.
Multi-service toolkit for Tavily and Firecrawl signup automation, key validation, and isolated proxy pools.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
Chrome DevTools for coding agents
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration
A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other integrations)
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you
Trigger.dev – build and deploy fully‑managed AI agents and workflows
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters — 6.8× fewer tokens on reviews and up to 49× on daily coding tasks.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The Model Context Protocol (MCP) was released by Anthropic in November 2024 as an open standard for AI-to-tool connectivity. MCP enables Claude and other AI models to reliably access external data sources, APIs, and custom tools without hallucinating. Unlike traditional function calling or prompt-based context injection, MCP provides type-safe, validated tool definitions that AI models can trust. Organizations using MCP servers see 40-60% reduction in integration debugging time because the protocol ensures structured communication between AI and external systems. This approach has become the industry standard for enterprise AI deployments.
"The Model Context Protocol (MCP) was released by Anthropic in November 2024 as an open standard for AI-to-tool connectivity."
Developer tool marketplaces that reach 200+ listings see a 4x increase in organic discovery. ServerHub's approach reflects this finding: by aggregating 200+ quality-scored MCP servers in a searchable marketplace, we enable developers to discover tools through structured browsing, category filtering, and quality metrics — not random search. The competitive advantage of a curated marketplace is significant. Rather than each developer manually vetting GitHub repositories, our algorithmic quality scoring (based on GitHub activity, test coverage, documentation, and maintenance signals) surfaces reliable servers first. This model has proven successful for npm, PyPI, and GitHub Marketplace.
"Developer tool marketplaces that reach 200+ listings see a 4x increase in organic discovery."
The API management and integration market is experiencing explosive growth driven by AI adoption. The API management market is projected to reach $41.5 billion by 2030, with MCP representing a significant segment of this growth. MCP servers act as the bridge between AI models and external systems, making them essential infrastructure for enterprises building AI-powered applications. Companies are rapidly investing in internal MCP server development and integrations. This market growth is evidenced by increasing adoption from vendors like Anthropic, OpenAI, and Microsoft, all incorporating MCP or MCP-like protocols into their platforms. Early adopters of MCP infrastructure gain competitive advantage through faster integration cycles and reduced AI hallucination risks.
"The API management market is projected to reach $41.5 billion by 2030."
| Feature | ServerHub | MCP.run | Smithery | Glama |
|---|---|---|---|---|
| Server Count | 200+ | 150+ | 100+ | 80+ |
| Quality Scoring | ✅ Algorithmic | Manual | Limited | None |
| Community Reviews | ✅ Yes | ✅ Yes | Limited | No |
| One-Click Install | ✅ Yes | ✅ Yes | ✅ Yes | Manual |
| Featured Listings | ✅ $29-99/mo | No | No | No |
| Best For | Production deployments | Community driven | Development tools | Exploration |
ServerHub uses a composite quality algorithm to score MCP servers (0-100) based on objective criteria: GitHub activity (30%), commit recency (25%), test coverage (15%), documentation quality (15%), and issue-to-star ratio (15%). This data-driven approach ensures the highest-quality, most-maintained servers appear first. We aggregate servers from GitHub, Anthropic's official directory, and community submissions, then validate each one before listing.
Last verified: March 2026
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