bitHuman docs

The bitHuman docs over MCP: two read-only tools, search and fetch; it needs no account and no key.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
100%
Naming quality
100%
Poisoning risk
100%
Permission match
90%
Protocol compliance
100%

Findings (1)

  • LOWTool 'fetch' suggests web access but openWorldHint=falsein fetch

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~330Tokens (tool definitions)
~947 BTypical response size
Minimal attention impact (0.26% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "docs": {
      "url": "https://docs.bithuman.ai/docs-mcp"
    }
  }
}

Remote endpoints

https://docs.bithuman.ai/docs-mcpstreamable-http

What it can do

Tool inventory

Tools (2)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢search(query, section, limit)

Search docs.bithuman.ai (bitHuman real-time avatar SDKs, the REST API, deployment options, models, pricing). Returns the best-matching pages, each with an id to pass to `fetch`.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "What to look for, e.g. \"Android first frame\" or \"LiveKit secret\"."
    },
    "section": {
      "type": "string",
      "description": "Limit to one section.",
      "enum": [
        "Overview",
        "Platforms",
        "Models",
        "Guides",
        "Deploy",
        "Performance",
        "API reference",
        "Get started",
        "Resources",
        "Build",
        "API"
      ]
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20,
      "description": "How many results (default 8)."
    }
  },
  "required": [
    "query"
  ]
}
🟢fetch(id)

Fetch one docs page as markdown by the id `search` returned (a path such as /platforms/python), or by its full docs.bithuman.ai URL.

Input Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "A page path (/platforms/python) or URL (https://docs.bithuman.ai/platforms/python)."
    }
  },
  "required": [
    "id"
  ]
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded2 tools