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metadata 
title: fastmcp3
emoji: 🔎
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
short_description: fast-agent PR build serving the raw HF Hub query card.

fastmcp3

This Space runs a raw-passthrough fast-agent MCP server for HF Hub queries, using a locally built fast-agent wheel from ~/source/fast-agent-pr/.

The deployed card uses tool_result_mode: passthrough, so tool results are returned directly rather than rewritten by a second LLM pass.

Auth

This Space is configured for Hugging Face OAuth/token passthrough:

  • FAST_AGENT_SERVE_OAUTH=hf
  • FAST_AGENT_OAUTH_SCOPES=inference-api
  • --instance-scope request

These are configured as Space settings:

  • Variables:
    • FAST_AGENT_SERVE_OAUTH
    • FAST_AGENT_OAUTH_SCOPES
    • FAST_AGENT_OAUTH_RESOURCE_URL
  • Secret:
    • HF_TOKEN (dummy startup token)

Clients can either:

  • send Authorization: Bearer <HF_TOKEN> directly, or
  • use MCP OAuth discovery/auth flow

Model

The deployed card uses:

  • hf.openai/gpt-oss-120b:sambanova

Main files

  • hf-hub-query.md — raw MCP card
  • monty_api_tool_v2.py — Hub query tool implementation
  • _monty_codegen_shared.md — shared codegen instructions
  • wheels/ — optional local fast-agent wheel staging directory for one-off deploys

Note on Monty

The Space now installs the released pydantic-monty==0.0.8 package from PyPI, so the custom bundled Monty wheel is no longer required.