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
Findings (1)
- LOWin fetch
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
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-httpWhat it can do
Tool inventory
Tools (2)
🟢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
Evidence