classifier.dev docs
classifier.dev documentation as tools: list, read and search the reference, benchmark and guides.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
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-httpWas es kann
Tool-Inventar
Tools (4)
🟢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"
]
}Community
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