Agent♥︎Age
Catalog

Bay Run

Official2 tools

by barneywohl · Python

Free OpenAI-compatible inference with signed provenance receipts and 3 focused MCP tools.

io.github.barneywohl/bay-run MCP Server

io.github.barneywohl/bay-run provides a free OpenAI-compatible inference service with signed provenance receipts and three focused MCP tools. It is described as a decision and execution layer for durable specialist Pins at https://run.huggingbay.xyz, exposed via a canonical Streamable HTTP MCP endpoint.

🛠️ Key Features

  • Free OpenAI-compatible inference
  • Signed provenance receipts
  • Default MCP “front door” exposes three tools in order: coprocessor, run_pin, solve_task
  • Canonical endpoint: https://run.huggingbay.xyz/mcp/

🚀 Use Cases

  • Running durable specialist Pins from the canonical origin (https://run.huggingbay.xyz)
  • Using the MCP tools coprocessor, run_pin, and solve_task as the entry points

⚡ Developer Benefits

  • Streamable HTTP MCP endpoint for integration
  • Published request contract and auth instructions at https://run.huggingbay.xyz/quickstart
  • Signed provenance receipts for supported inference responses

⚠️ Limitations

  • Source content specifies toolCount as 2, while the default tool list contains three tools; the exact tool count is not consistently defined in the provided excerpt

Topics

agentsinferencellm-routermcpsmall-models