[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-mcp-server-directory-for-tool-builders-en":3,"article-related-mcp-server-directory-for-tool-builders-en":31,"series-industry-937a147a-d613-41e5-be5b-5882579e0118":83},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":23,"views":27,"created_at":28,"published_at":29,"topic_cluster_id":30},"937a147a-d613-41e5-be5b-5882579e0118","mcp-server-directory-for-tool-builders-en","89.2k-star MCP server directory for tool builders","\u003Cp data-speakable=\"summary\">This directory collects \u003Ca href=\"\u002Ftag\u002Fmcp\">MCP\u003C\u002Fa> servers so builders can find tools to connect into AI workflows.\u003C\u002Fp>\u003Cp>With 89.2k stars and 11.6k forks, \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpunkpeye\u002Fawesome-mcp-servers\">punkpeye\u002Fawesome-mcp-servers\u003C\u002Fa> is less a single project than a map of what the \u003Ca href=\"\u002Ftag\u002Fmodel-context-protocol\">Model Context Protocol\u003C\u002Fa> can already reach. If you want practical options instead of theory, this list shows where to start.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Item\u003C\u002Fth>\u003Cth>What it gives you\u003C\u002Fth>\u003Cth>Best for\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Awesome MCP Servers\u003C\u002Ftd>\u003Ctd>Curated index of MCP servers\u003C\u002Ftd>\u003Ctd>Discovery and comparison\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GitHub-hosted entries\u003C\u002Ftd>\u003Ctd>Links to many external projects\u003C\u002Ftd>\u003Ctd>Finding providers quickly\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Community contributions\u003C\u002Ftd>\u003Ctd>Open additions and updates\u003C\u002Ftd>\u003Ctd>Tracking new servers\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Multi-language README files\u003C\u002Ftd>\u003Ctd>Localized project docs\u003C\u002Ftd>\u003Ctd>Global teams\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. A fast way to survey the MCP ecosystem\u003C\u002Fh2>\u003Cp>The main value here is breadth. Instead of hunting across blogs, repos, and vendor pages, you get one index of MCP servers in a format that is easy to scan and easy to share.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781482674304-issi.png\" alt=\"89.2k-star MCP server directory for tool builders\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>That makes the repo useful when you need to answer a basic question first: what already exists for the tool, data source, or workflow you want to connect?\u003C\u002Fp>\u003Cul>\u003Cli>Browse by project name, then jump to the linked repo or service.\u003C\u002Fli>\u003Cli>Use it as a shortlist before you test anything in production.\u003C\u002Fli>\u003Cli>Share it with teammates who need a quick market scan.\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. A community-maintained starting point\u003C\u002Fh2>\u003Cp>The repository is open to contributions, which matters because MCP support changes quickly. Community curation helps the list keep pace with new servers, new integrations, and new use cases.\u003C\u002Fp>\u003Cp>That also means the repo is useful as a living reference, not a static catalog. If a server appears in the list, there is usually enough context to follow the trail and evaluate whether it fits your stack.\u003C\u002Fp>\u003Cul>\u003Cli>Open pull requests and issue activity show ongoing maintenance.\u003C\u002Fli>\u003Cli>Contributors can add new servers as the ecosystem grows.\u003C\u002Fli>\u003Cli>Readers can compare entries without committing to one provider.\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. A practical bridge between AI tools and external systems\u003C\u002Fh2>\u003Cp>MCP is about connecting models to outside tools, and this directory makes that idea concrete. The entries point to servers that can expose services, data, or workflows in a form AI clients can use.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781482668352-cm86.png\" alt=\"89.2k-star MCP server directory for tool builders\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>If you are building an assistant, \u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa>, or internal \u003Ca href=\"\u002Ftag\u002Fcopilot\">copilot\u003C\u002Fa>, this repository helps you identify the kinds of integrations that are already available before you write your own connector.\u003C\u002Fp>\u003Ccode>Use case examples:\n- connect a note app to an AI assistant\n- expose a database as a tool source\n- wire a file service into an agent workflow\u003C\u002Fcode>\u003Ch2>4. A low-friction way to compare options\u003C\u002Fh2>\u003Cp>Because the repo is organized as a collection, it works well for side-by-side evaluation. You can compare what each server claims to do, then inspect the linked project for setup steps, scope, and maintenance signals.\u003C\u002Fp>\u003Cp>That is especially helpful when several servers solve the same problem. The list format lets you narrow choices before you spend time on installation or auth setup.\u003C\u002Fp>\u003Cul>\u003Cli>Check whether the project is active.\u003C\u002Fli>\u003Cli>Look for documentation quality in the linked repo.\u003C\u002Fli>\u003Cli>Confirm whether the server matches your security and deployment needs.\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. A useful source of inspiration for builders\u003C\u002Fh2>\u003Cp>Even if you do not plan to adopt an entry right away, the directory can still shape product ideas. Seeing the range of servers available often reveals which workflows are common enough to automate.\u003C\u002Fp>\u003Cp>That makes the repo valuable for platform teams, hackathon projects, and anyone designing an MCP-compatible service. It is a catalog of what people are already trying to make accessible through model-driven tools.\u003C\u002Fp>\u003Ccode>Signals to watch:\n- repeated categories across entries\n- integrations that match your users' daily work\n- gaps where no server exists yet\u003C\u002Fcode>\u003Ch2>How to decide\u003C\u002Fh2>\u003Cp>Pick this repository if your first job is discovery. It is best for builders, researchers, and product teams who need a broad view of MCP servers before choosing one to install or integrate.\u003C\u002Fp>\u003Cp>If you already know the exact server you want, go straight to the linked project. If you need a shortlist, a trend scan, or a place to track new MCP options, this collection is the better starting point.\u003C\u002Fp>","89.2k-star directory of MCP servers that helps builders find, compare, and wire up external tools fast.","github.com","https:\u002F\u002Fgithub.com\u002Fpunkpeye\u002Fawesome-mcp-servers",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781482674304-issi.png","industry","en","ac93db8b-1365-40f0-a324-df636352ed06",[17,18,19,20,21,22],"MCP","servers","GitHub","Model Context Protocol","AI tools","developer directories",[24,25,26],"Use the repo to survey MCP servers in one place before testing anything.","Treat it as a living index, since community contributions keep it current.","Best for builders who need discovery, comparison, and integration ideas.",0,"2026-06-15T00:17:21.463052+00:00","2026-06-15T00:17:21.459+00:00","d19fc184-5852-4c4d-9ec0-db0c4841ac17",{"tags":32,"relatedLang":42,"relatedPosts":46},[33,35,37,39,41],{"name":21,"slug":34},"ai-tools",{"name":19,"slug":36},"github",{"name":20,"slug":38},"model-context-protocol",{"name":17,"slug":40},"mcp",{"name":18,"slug":18},{"id":15,"slug":43,"title":44,"language":45},"mcp-server-directory-for-tool-builders-zh","89.2k 星 MCP 伺服器目錄，先找再接最省時","zh",[47,53,59,65,71,77],{"id":48,"slug":49,"title":50,"cover_image":51,"image_url":51,"created_at":52,"category":13},"0423587b-197e-41cc-99d3-6197263e6874","midjourney-v8-1-default-model-update-en","Midjourney V8.1 now ships as default model","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781515062253-2i5e.png","2026-06-15T09:17:19.17797+00:00",{"id":54,"slug":55,"title":56,"cover_image":57,"image_url":57,"created_at":58,"category":13},"f862c145-269f-4ef4-aa12-44207a7475aa","midjourney-free-methods-vs-paid-access-en","Midjourney Free Methods vs Paid Access","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781514188185-dk6r.png","2026-06-15T09:02:35.461188+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"category":13},"369eb75f-577c-4f91-999c-9db6db8c459e","anthropic-35b-buildout-finance-chips-en","Anthropic’s $35 billion buildout proves AI now runs on finance and ch…","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781510576502-kd33.png","2026-06-15T08:02:22.869273+00:00",{"id":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"category":13},"6ddaeb17-2f20-4730-922e-a35f5a3491af","openai-partner-network-enterprise-ai-access-en","OpenAI Partner Network widens enterprise AI access","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781506984641-zf53.png","2026-06-15T07:02:32.49443+00:00",{"id":72,"slug":73,"title":74,"cover_image":75,"image_url":75,"created_at":76,"category":13},"56930ca4-3142-46e2-8c5d-a837b6de8651","ai-weekly-2026-w25-en","AI Weekly: 2026-06-08 ~ 2026-06-15","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781497224790-crhb.png","2026-06-15T04:00:28.880249+00:00",{"id":78,"slug":79,"title":80,"cover_image":81,"image_url":81,"created_at":82,"category":13},"5c126c35-d2da-4116-8032-38de993c328b","anthropics-offline-move-turns-policy-into-code-en","Anthropic’s offline move turns policy into code","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781488987206-b0qc.png","2026-06-15T02:02:39.910445+00:00",[84,89,94,99,104,109,114,119,124,129],{"id":85,"slug":86,"title":87,"created_at":88},"d35a1bd9-e709-412e-a2df-392df1dc572a","ai-impact-2026-developments-market-en","AI's Impact in 2026: Key Developments and Market Shifts","2026-03-25T16:20:33.205823+00:00",{"id":90,"slug":91,"title":92,"created_at":93},"5ed27921-5fd6-492e-8c59-78393bf37710","trumps-ai-legislative-framework-en","Trump's AI Legislative Framework: What's Inside?","2026-03-25T16:22:20.005325+00:00",{"id":95,"slug":96,"title":97,"created_at":98},"e454a642-f03c-4794-b185-5f651aebbaca","nvidia-gtc-2026-key-highlights-innovations-en","NVIDIA GTC 2026: Key Highlights and Innovations","2026-03-25T16:22:47.882615+00:00",{"id":100,"slug":101,"title":102,"created_at":103},"0ebb5b16-774a-4922-945d-5f2ce1df5a6d","claude-usage-diversifies-learning-curves-en","Claude Usage Diversifies, Learning Curves Emerge","2026-03-25T16:25:50.770376+00:00",{"id":105,"slug":106,"title":107,"created_at":108},"69934e86-2fc5-4280-8223-7b917a48ace8","openclaw-ai-commoditization-concerns-en","OpenClaw's Rise Raises Concerns of AI Model Commoditization","2026-03-25T16:26:30.582047+00:00",{"id":110,"slug":111,"title":112,"created_at":113},"b4b2575b-2ac8-46b2-b90e-ab1d7c060797","google-gemini-ai-rollout-2026-en","Google's Gemini AI Rollout Extended to 2026","2026-03-25T16:28:14.808842+00:00",{"id":115,"slug":116,"title":117,"created_at":118},"6e18bc65-42ae-4ad0-b564-67d7f66b979e","meta-llama4-fabricated-results-scandal-en","Meta's Llama 4 Scandal: Fabricated AI Test Results Unveiled","2026-03-25T16:29:15.482836+00:00",{"id":120,"slug":121,"title":122,"created_at":123},"bf888e9d-08be-4f47-996c-7b24b5ab3500","accenture-mistral-ai-deployment-en","Accenture and Mistral AI Team Up for AI Deployment","2026-03-25T16:31:01.894655+00:00",{"id":125,"slug":126,"title":127,"created_at":128},"5382b536-fad2-49c6-ac85-9eb2bae49f35","mistral-ai-high-stakes-2026-en","Mistral AI: Facing High Stakes in 2026","2026-03-25T16:31:39.941974+00:00",{"id":130,"slug":131,"title":132,"created_at":133},"9da3d2d6-b669-4971-ba1d-17fdb3548ed5","cursors-meteoric-rise-pressures-en","Cursor's Meteoric Rise Faces Industry Pressures","2026-03-25T16:32:21.899217+00:00"]