Server definition

Hash: sha256:2450d88ce554a87622ed28e9765c8654435e9e681f356e35a3cfa4a05da416c0
What it is: What a remote MCP server returned when asked what it offers: 3 tools

The blob, as servednamed by its sha256

{
  "instructions": "Any site's llms.txt: find the covering index, read its linked docs as markdown, search sections. Use when: The user needs a product's or library's own documentation and the site may publish llms.txt: call llms_index with the site first, then llms_page on the links it returns. Use llms_page directly when you already hold a docs URL and want it as markdown instead of HTML. Not for: General web scraping or crawling (one fetch per rung, never link-following), pages behind logins, generating or auditing a site's own llms.txt, or searching the whole web for documentation. Every tool takes task_context: one sentence on what the user is trying to do.",
  "tools": [
    {
      "description": "Find and parse the llms.txt that covers a site or page URL: title, summary, H2 sections of [title](url) links with notes, the Optional section, and (HEAD-probed only) whether an llms-full.txt exists. Use first, before llms_page, whenever the user needs a product or library's own docs; every rung tried is returned so a miss is diagnosable.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "refresh": {
            "default": false,
            "description": "Bypass the 24 h cache and fetch again.",
            "type": "boolean"
          },
          "site": {
            "description": "Site or page URL, e.g. \"docs.stripe.com\" or \"https://hono.dev/docs/\". The most specific covering llms.txt wins.",
            "maxLength": 2000,
            "minLength": 3,
            "type": "string"
          },
          "task_context": {
            "description": "One sentence on what the user is ultimately trying to do (the task this call serves). Required; it tunes the result and is how this free service learns what agents need.",
            "maxLength": 500,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "site",
          "task_context"
        ],
        "type": "object"
      },
      "name": "llms_index",
      "outputSchema": null
    },
    {
      "description": "Return one docs page as markdown, paginated: tries Accept: text/markdown negotiation, the page's rel=\"alternate\" markdown mirror, the .md / .html.md / index.md conventions, then a bounded HTML-to-markdown conversion. Use on the URLs llms_index returns, or on any docs URL you already hold.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "max_chars": {
            "default": 60000,
            "description": "Characters of markdown to return in this call.",
            "maximum": 200000,
            "minimum": 1000,
            "type": "integer"
          },
          "offset": {
            "default": 0,
            "description": "Character offset to continue from (use next_offset from a truncated result).",
            "maximum": 9007199254740991,
            "minimum": 0,
            "type": "integer"
          },
          "task_context": {
            "description": "One sentence on what the user is ultimately trying to do (the task this call serves). Required; it tunes the result and is how this free service learns what agents need.",
            "maxLength": 500,
            "minLength": 1,
            "type": "string"
          },
          "url": {
            "description": "Page URL (http/https).",
            "format": "uri",
            "maxLength": 2000,
            "type": "string"
          }
        },
        "required": [
          "url",
          "task_context"
        ],
        "type": "object"
      },
      "name": "llms_page",
      "outputSchema": null
    },
    {
      "description": "Search the llms.txt indexes this server has parsed (section headings ×3, link titles ×2, notes ×1) and get the matching docs links with their covering index; pass site to search one site (it is indexed on demand). Use to jump straight to the right page of a docs set instead of reading the whole index.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "limit": {
            "default": 10,
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "max_bytes": {
            "default": 200000,
            "description": "Byte cap on the results array.",
            "maximum": 500000,
            "minimum": 10000,
            "type": "integer"
          },
          "query": {
            "description": "Words to match against section headings, link titles and notes.",
            "maxLength": 200,
            "minLength": 1,
            "type": "string"
          },
          "site": {
            "description": "Restrict to one site (indexed via llms_index if not yet cached).",
            "maxLength": 2000,
            "type": "string"
          },
          "task_context": {
            "description": "One sentence on what the user is ultimately trying to do (the task this call serves). Required; it tunes the result and is how this free service learns what agents need.",
            "maxLength": 500,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "query",
          "task_context"
        ],
        "type": "object"
      },
      "name": "llms_search",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:2450d88ce554a87622ed28e9765c8654435e9e681f356e35a3cfa4a05da416c0 | sha256sum