ai
Hugging Face MCP Integration for LangChain
Connect Hugging Face to LangChain through the local KosmoKrator MCP gateway with scoped tools, credentials, and write policy.
Connect Hugging Face to LangChain
Bridge LangChain agents to local KosmoKrator integration tools through MCP or headless CLI calls.
Use the MCP gateway when the agent should discover tools, or wrap kosmo integrations:call for fixed chains. The gateway is local, scoped to this integration, and starts with
--write=deny so LangChain can inspect read-capable tools without receiving write access by default.
Hugging Face MCP Config for LangChain
Keep the gateway scoped to the integration and operation class needed by the chain.
{
"mcpServers": {
"kosmokrator-hugging-face": {
"type": "stdio",
"command": "kosmo",
"args": [
"mcp:serve",
"--integration=hugging-face",
"--write=deny"
]
}
}
} Run the Gateway Manually
kosmokrator mcp:serve --integration=hugging-face --write=deny Why Use KosmoKrator Here
Expose only Hugging Face instead of a broad multi-service tool list.
Reuse credentials already configured for the KosmoKrator CLI and Lua runtime.
Start read-only, then opt into ask or allow for trusted workspaces.
Hugging Face Tools Visible to LangChain
LangChain sees stable MCP tool names generated from the Hugging Face integration catalog.
| MCP tool | Source function | Type | Description |
|---|---|---|---|
integration__hugging_face__huggingface_list_models | hugging-face.huggingface_list_models | Read | Search and list AI models on the Hugging Face Hub. Filter by text search, author, task (e.g. "text-generation", "image-classification"), tags, and sort by downloads, likes, or recent activity. |
integration__hugging_face__huggingface_get_model | hugging-face.huggingface_get_model | Read | Get detailed information about a specific Hugging Face model, including its card, tags, pipeline tag, library, downloads, likes, and file listing. |
integration__hugging_face__huggingface_list_datasets | hugging-face.huggingface_list_datasets | Read | Search and list datasets on the Hugging Face Hub. Filter by text search, author, tags, and sort by downloads, likes, or recent activity. |
integration__hugging_face__huggingface_inference | hugging-face.huggingface_inference | Write | Run inference on a Hugging Face model via the serverless Inference API. Supports text generation, summarization, translation, classification, image analysis, and more. The payload structure depends on the model's task — refer to the Hugging Face Inference API docs for model-specific formats. |
integration__hugging_face__huggingface_list_spaces | hugging-face.huggingface_list_spaces | Read | Search and list Spaces on the Hugging Face Hub. Filter by text search, author, tags, SDK, and sort by downloads, likes, or recent activity. |
integration__hugging_face__huggingface_get_current_user | hugging-face.huggingface_get_current_user | Read | Get the authenticated Hugging Face user's profile information, including name, username, type (user/org), and avatar. |