{
  "feed_type": "export",
  "metadata": {
    "block_name": "Feed metadata",
    "origin": "https://wellknownmcp.org",
    "source_url": "https://wellknownmcp.org/",
    "title": "Export feed ",
    "description": "Export feed of data contextualized for llm",
    "tags": [
      "mcp",
      "llmfeed",
      "export"
    ],
    "content_type": "agent-data",
    "generated_at": "2025-05-12T15:00:00Z"
  },
  "trust": {
    "signed_blocks": [
      "all"
    ],
    "trust_level": "certified",
    "certifier": "https://llmca.org",
    "agent_hint": "This feed is officially published by wellknownmcp.org",
    "block_name": "trust disclaimer",
    "scope": "full",
    "warning": "This feed is fully signed.",
    "public_key_hint": "https://wellknownmcp.org/.well-known/public.pem",
    "canonicalization": "https://llmca.org/mcp-canonical-json/v1"
  },
  "signature": {
    "value": "2W+lu/cXAnN/2GmvjCu1W04s5Ey258Zo13AHYf/F2PxNS+MDAEHLKew7nY3Bkeg4QflpzPXMxnOTMsKMBnmmAA==",
    "algorithm": "ed25519",
    "created_at": "2025-05-12T11:14:41.204373Z"
  },
  "certification": {
    "level": "gold",
    "certifier": "llmca.org",
    "public_key_hint": "https://llmca.org/.well-known/llmca_cert.pem",
    "targets": [
      "feed_type",
      "metadata",
      "trust"
    ],
    "algorithm": "ed25519",
    "value": "nkw1bbiJnx2FjeIAH/2kB80kiowGuA6XK+p79QF01PD/zXaGMosThDxzhyFfnoUrRdnUtXdTkdOos0yX676PCQ==",
    "issued_at": "2025-05-12T13:53:09.184849Z",
    "expires_at": "2026-05-12T13:53:09.187079Z"
  },
  "data": {
    "html": "<nav><div><a href=\"/\"><img alt=\"WellKnownMCP\" loading=\"lazy\" width=\"120\" height=\"40\" decoding=\"async\" srcset=\"/_next/image?url=%2Flogo.png&amp;w=128&amp;q=75 1x, /_next/image?url=%2Flogo.png&amp;w=256&amp;q=75 2x\" src=\"/_next/image?url=%2Flogo.png&amp;w=256&amp;q=75\"></a><a href=\"/spec/spec/llmfeed.md\">\ud83d\udcdc Spec</a><a href=\"/undefined/news\">\ud83d\uddde\ufe0f News</a><a href=\"/undefined/news?tag=manual\">\ud83d\udcd8 Manual</a><a href=\"/join\">\ud83e\udd1d Join</a><a href=\"/undefined/about\">\ud83e\udded About</a><div><span>\ud83e\uddf0 Tools \u25be</span></div></div><div><a target=\"_blank\" rel=\"noopener\" href=\"https://github.com/wellknownmcp\"><svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\" fill=\"currentColor\"><path fill-rule=\"evenodd\" d=\"M12 2C6.477 2 2 6.484 2 12.017c0 4.42 2.865 8.166 6.839 9.489.5.092.682-.217.682-.483 0-.237-.008-.868-.013-1.703-2.782.605-3.369-1.343-3.369-1.343-.454-1.153-1.11-1.461-1.11-1.461-.909-.621.069-.608.069-.608 1.004.07 1.533 1.032 1.533 1.032.892 1.53 2.341 1.088 2.91.832.092-.647.35-1.088.636-1.338-2.22-.253-4.555-1.112-4.555-4.951 0-1.093.39-1.988 1.029-2.688-.103-.254-.446-1.272.098-2.65 0 0 .84-.269 2.75 1.025A9.564 9.564 0 0112 6.844a9.56 9.56 0 012.504.337c1.909-1.294 2.748-1.025 2.748-1.025.546 1.378.202 2.396.1 2.65.64.7 1.028 1.595 1.028 2.688 0 3.848-2.338 4.695-4.566 4.943.359.309.678.92.678 1.855 0 1.338-.012 2.419-.012 2.749 0 .268.18.58.688.481A10.019 10.019 0 0022 12.017C22 6.484 17.523 2 12 2z\" clip-rule=\"evenodd\"></path></svg></a></div></nav><main><div><div><h1>About the Model Context Protocol</h1><p>Why MCP, what it means, and how we defend it</p></div><div><a href=\"https://twitter.com/intent/tweet?text=Discover%20this%20MCP-enabled%20resource&amp;url=https%3A%2F%2Fwellknownmcp.org%2Fundefined%2Fabout\" target=\"_blank\" rel=\"noopener 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y=\"9\"></rect><circle cx=\"4\" cy=\"4\" r=\"2\"></circle></svg> LinkedIn</button></a><a href=\"https://wa.me/?text=Discover%20this%20MCP-enabled%20resource%20https%3A%2F%2Fwellknownmcp.org%2Fundefined%2Fabout\" target=\"_blank\" rel=\"noopener noreferrer\"><button><svg xmlns=\"http://www.w3.org/2000/svg\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M21 12v3a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h7\"></path><path d=\"M16 3h5v5\"></path><path d=\"m16 8 5-5\"></path></svg> WhatsApp</button></a><button><svg xmlns=\"http://www.w3.org/2000/svg\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect width=\"14\" height=\"14\" x=\"8\" y=\"8\" rx=\"2\" ry=\"2\"></rect><path d=\"M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2\"></path></svg> Copy link</button><button title=\"Export to LLMFeed\"><svg xmlns=\"http://www.w3.org/2000/svg\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M12 5a3 3 0 1 0-5.997.125 4 4 0 0 0-2.526 5.77 4 4 0 0 0 .556 6.588A4 4 0 1 0 12 18Z\"></path><path d=\"M9 13a4.5 4.5 0 0 0 3-4\"></path><path d=\"M6.003 5.125A3 3 0 0 0 6.401 6.5\"></path><path d=\"M3.477 10.896a4 4 0 0 1 .585-.396\"></path><path d=\"M6 18a4 4 0 0 1-1.967-.516\"></path><path d=\"M12 13h4\"></path><path d=\"M12 18h6a2 2 0 0 1 2 2v1\"></path><path d=\"M12 8h8\"></path><path d=\"M16 8V5a2 2 0 0 1 2-2\"></path><circle cx=\"16\" cy=\"13\" r=\".5\"></circle><circle cx=\"18\" cy=\"3\" r=\".5\"></circle><circle cx=\"20\" cy=\"21\" r=\".5\"></circle><circle cx=\"20\" cy=\"8\" r=\".5\"></circle></svg>Export to LLM<span>NEW</span></button></div><div><h1>Why MCP</h1>\n<p>Because prompts are not enough.<br>\nBecause agents need intent, not just instructions.<br>\nBecause the web needs a grammar again.</p>\n<p>MCP gives language back its edges.<br>\nIt makes meaning portable, structure explicit, and trust inspectable.</p>\n<p>We don\u2019t just want to connect models to data.<br>\nWe want them to read <strong>us</strong>, and be accountable.</p>\n<p>MCP is a minimum viable alignment protocol \u2014<br>\na handshake between meaning and verification.</p>\n<p>\ud83d\udee1 The Trust Triangle</p>\n<ul>\n<li><strong>WellKnownMCP</strong>: Specification and context discovery protocol. The full specification is github, on a public repository, open to contribution (opensource@wellsknownmcp)</li>\n<li><strong>LLMCA</strong>: Certification Authority ensuring feed integrity and trustworthiness.</li>\n<li><strong>LLMFeedForge</strong>: Tools to create, manage, and verify LLMFeeds and MCP structures.</li>\n</ul>\n<h1>The Manifesto</h1>\n<p>We believe the future of the web is not just about content \u2014 it\u2019s about <strong>context</strong>.<br>\nThe Model Context Protocol (MCP) allows agents and humans to share data, intent, and structure in a common, verifiable format.</p>\n<p>The MCP is not a product. It\u2019s not a business model. It\u2019s a civic decision:</p>\n<ul>\n<li>To make AI dialogue transparent</li>\n<li>To make websites agent-readable</li>\n<li>To make data certifiable and portable</li>\n</ul>\n<p>If you believe in interop, openness, and structure over hype: welcome.</p>\n<p>This protocol belongs to no one. And to everyone.</p>\n<h2>About WellKnownMCP</h2>\n<p>WellKnownMCP is an open initiative dedicated to developing, promoting, and maintaining the <strong>Model Context Protocol (MCP)</strong>, an interoperable and secure standard that connects Large Language Models (LLMs) to external data, tools, and contexts.</p>\n<h3>Our Purpose</h3>\n<p>Our goal is to simplify the integration of AI-driven capabilities across diverse platforms and industries by providing:</p>\n<ul>\n<li><strong>A universal protocol</strong>: Standardizing how LLMs access external resources.</li>\n<li><strong>Transparency and trust</strong>: Enabling verifiable interactions through signed and structured metadata.</li>\n<li><strong>Open collaboration</strong>: Building an ecosystem where developers, companies, and researchers collaborate freely.</li>\n</ul>\n<h3>Who We Are</h3>\n<p>WellKnownMCP is community-driven, supported by developers, researchers, and leading AI organizations committed to an open, interoperable future.</p></div></div></main><footer><div><div><h2>WellKnownMCP</h2><p>A trustable network for AI agents</p><p><a href=\"mailto:opensource@wellknownmcp.org\">opensource@wellknownmcp.org</a></p></div><div><div><a href=\"/about\">\ud83e\udded About</a><a href=\"/spec\">\ud83d\udcdc Spec</a><a href=\"/llmfeedhub\">\ud83e\uddea Hub</a></div><div><a href=\"/verify\">\u2705 Verify</a><a href=\"/sdk\">\ud83e\uddec SDK</a><a href=\"/join\">\ud83e\udd1d Join</a></div></div><div><ul><li><a target=\"_blank\" rel=\"noopener\" href=\"https://github.com/wellknownmcp/llmfeed-spec\"><svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\" fill=\"currentColor\"><path d=\"M12 .5C5.6.5.5 5.6.5 12c0 5.1 3.3 9.4 7.9 10.9.6.1.8-.3.8-.6v-2.1c-3.2.7-3.8-1.5-3.8-1.5-.5-1.2-1.2-1.5-1.2-1.5-1-.7.1-.7.1-.7 1.1.1 1.7 1.2 1.7 1.2 1 .1 1.6-.5 2-1 .1-.7.4-1.1.7-1.4-2.6-.3-5.3-1.3-5.3-5.8 0-1.3.5-2.3 1.2-3.1-.1-.3-.5-1.5.1-3.1 0 0 1-.3 3.2 1.2a11 11 0 015.8 0C17 3.7 18 4 18 4c.6 1.6.2 2.8.1 3.1.7.8 1.2 1.9 1.2 3.1 0 4.5-2.7 5.5-5.3 5.8.4.3.7.9.7 1.9v2.8c0 .3.2.7.8.6 4.6-1.5 7.9-5.8 7.9-10.9C23.5 5.6 18.4.5 12 .5z\"></path></svg><span>GitHub</span></a></li><li><a target=\"_blank\" rel=\"noopener\" href=\"https://llmca.org\">\ud83d\udee1\ufe0f LLMCA</a></li><li><a target=\"_blank\" rel=\"noopener\" href=\"https://llmfeedforge.org\">\ud83d\udee0\ufe0f LLMFeedForge</a></li></ul></div></div></footer><next-route-announcer></next-route-announcer>",
    "markdown": "[![WellKnownMCP](/_next/image?url=%2Flogo.png&w=256&q=75)](/)[\ud83d\udcdc Spec](/spec/spec/llmfeed.md)[\ud83d\uddde\ufe0f News](/undefined/news)[\ud83d\udcd8 Manual](/undefined/news?tag=manual)[\ud83e\udd1d Join](/join)[\ud83e\udded About](/undefined/about)\n\n\ud83e\uddf0 Tools \u25be\n\n[](https://github.com/wellknownmcp)\n\nAbout the Model Context Protocol\n================================\n\nWhy MCP, what it means, and how we defend it\n\n[X](https://twitter.com/intent/tweet?text=Discover%20this%20MCP-enabled%20resource&url=https%3A%2F%2Fwellknownmcp.org%2Fundefined%2Fabout) [LinkedIn](https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fwellknownmcp.org%2Fundefined%2Fabout&title=Discover%20this%20MCP-enabled%20resource) [WhatsApp](https://wa.me/?text=Discover%20this%20MCP-enabled%20resource%20https%3A%2F%2Fwellknownmcp.org%2Fundefined%2Fabout) Copy linkExport to LLMNEW\n\nWhy MCP\n=======\n\nBecause prompts are not enough.  \nBecause agents need intent, not just instructions.  \nBecause the web needs a grammar again.\n\nMCP gives language back its edges.  \nIt makes meaning portable, structure explicit, and trust inspectable.\n\nWe don\u2019t just want to connect models to data.  \nWe want them to read **us**, and be accountable.\n\nMCP is a minimum viable alignment protocol \u2014  \na handshake between meaning and verification.\n\n\ud83d\udee1 The Trust Triangle\n\n*   **WellKnownMCP**: Specification and context discovery protocol. The full specification is github, on a public repository, open to contribution (opensource@wellsknownmcp)\n*   **LLMCA**: Certification Authority ensuring feed integrity and trustworthiness.\n*   **LLMFeedForge**: Tools to create, manage, and verify LLMFeeds and MCP structures.\n\nThe Manifesto\n=============\n\nWe believe the future of the web is not just about content \u2014 it\u2019s about **context**.  \nThe Model Context Protocol (MCP) allows agents and humans to share data, intent, and structure in a common, verifiable format.\n\nThe MCP is not a product. It\u2019s not a business model. It\u2019s a civic decision:\n\n*   To make AI dialogue transparent\n*   To make websites agent-readable\n*   To make data certifiable and portable\n\nIf you believe in interop, openness, and structure over hype: welcome.\n\nThis protocol belongs to no one. And to everyone.\n\nAbout WellKnownMCP\n------------------\n\nWellKnownMCP is an open initiative dedicated to developing, promoting, and maintaining the **Model Context Protocol (MCP)**, an interoperable and secure standard that connects Large Language Models (LLMs) to external data, tools, and contexts.\n\n### Our Purpose\n\nOur goal is to simplify the integration of AI-driven capabilities across diverse platforms and industries by providing:\n\n*   **A universal protocol**: Standardizing how LLMs access external resources.\n*   **Transparency and trust**: Enabling verifiable interactions through signed and structured metadata.\n*   **Open collaboration**: Building an ecosystem where developers, companies, and researchers collaborate freely.\n\n### Who We Are\n\nWellKnownMCP is community-driven, supported by developers, researchers, and leading AI organizations committed to an open, interoperable future.\n\nWellKnownMCP\n------------\n\nA trustable network for AI agents\n\n[opensource@wellknownmcp.org](mailto:opensource@wellknownmcp.org)\n\n[\ud83e\udded About](/about)[\ud83d\udcdc Spec](/spec)[\ud83e\uddea Hub](/llmfeedhub)\n\n[\u2705 Verify](/verify)[\ud83e\uddec SDK](/sdk)[\ud83e\udd1d Join](/join)\n\n*   [GitHub](https://github.com/wellknownmcp/llmfeed-spec)\n*   [\ud83d\udee1\ufe0f LLMCA](https://llmca.org)\n*   [\ud83d\udee0\ufe0f LLMFeedForge](https://llmfeedforge.org)"
  }
}