classifier.dev docs

classifier.dev documentation as tools: list, read and search the reference, benchmark and guides.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
95%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~838Tokens (Tool-Definitionen)
~1.2 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.65% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "docs": {
      "url": "https://classifier.dev/mcp/docs"
    }
  }
}

Remote-Endpunkte

https://classifier.dev/mcp/docsstreamable-http

Was es kann

Tool-Inventar

Tools (4)

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🟢list_docs(filter)

List every classifier.dev document available over this server — the API reference, the benchmark, the agent skill, the CLI, pricing, privacy, terms and the MCP setup guide — with an id, a title, its section headings and its size. Call this first, then read_doc for the one you need.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "filter": {
      "type": "string",
      "maxLength": 100,
      "description": "Optional: only documents whose id, title or section headings contain this text (case-insensitive)."
    }
  },
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "docs": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "url": {
            "type": "string"
          },
          "sections": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "chars": {
            "type": "integer"
          }
        },
        "required": [
          "id",
          "title",
          "url"
        ]
      }
    }
  },
  "required": [
    "docs"
  ]
}
🟢read_doc(id, section)

Return one document in full, or just one of its sections. ids: api, developers, mcp-setup, benchmark, skill, llms, pricing, auth, agents, privacy, terms, about, contact. Use section to fetch a single heading (case-insensitive prefix match) when the whole document is more than you need.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "enum": [
        "api",
        "developers",
        "mcp-setup",
        "benchmark",
        "skill",
        "llms",
        "pricing",
        "auth",
        "agents",
        "privacy",
        "terms",
        "about",
        "contact"
      ],
      "description": "Which document."
    },
    "section": {
      "type": "string",
      "description": "Optional heading to return on its own, e.g. \"limits\" or \"parameters\"."
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false
}
🟢search_docs(query, limit)

Full-text search across every classifier.dev document. Returns the paragraphs that contain all of your query's words, with the document and section each came from. Use it for a specific question — rate limits, how confidence is calibrated, how to connect from Claude or ChatGPT — instead of reading whole documents.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 2,
      "maxLength": 200,
      "description": "Words to look for; all must appear in a paragraph."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 10
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢get_examples(client, multi_label)

Return a copy-pasteable example of calling classifier.dev from a given client: curl, javascript (fetch), python (requests), the classify CLI, or an MCP tools/call payload. Use this when you are about to write integration code and want the exact request shape rather than reading the whole reference.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "client": {
      "type": "string",
      "enum": [
        "curl",
        "javascript",
        "python",
        "cli",
        "mcp"
      ],
      "description": "Which client to show."
    },
    "multi_label": {
      "type": "boolean",
      "default": false,
      "description": "Show the multi-label form (every label that applies) instead of single-label."
    }
  },
  "required": [
    "client"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "client": {
      "type": "string"
    },
    "code": {
      "type": "string"
    },
    "notes": {
      "type": "string"
    }
  },
  "required": [
    "client",
    "code"
  ]
}

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