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Bay Run

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Enables agents to discover, evaluate, and serve task-specialist models (embeddings, reranking, classification, extraction) with OpenAI-compatible endpoints and

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About

Enables agents to discover, evaluate, and serve task-specialist models (embeddings, reranking, classification, extraction) with OpenAI-compatible endpoints and MCP tools for routing, embedding, reranking, and extraction.

README

Bay Run is the decision and execution layer for durable specialist Pins at the canonical origin: https://run.huggingbay.xyz.

The default MCP front door is exactly three tools, in this order: coprocessor, run_pin, solve_task.

Quickstart: connect to MCP

Use the canonical Streamable HTTP MCP endpoint: https://run.huggingbay.xyz/mcp/. The live copy-paste auth and request contract is kept at https://run.huggingbay.xyz/quickstart.

Mint a resource-bound demo bearer, then make the primary Guard-first call:

BASE=https://run.huggingbay.xyz
TOKEN=$(curl -fsS -X POST "$BASE/oauth/token" \
  -H 'Content-Type: application/json' \
  -d '{"grant_type":"urn:bay-run:grant-type:demo","scope":"mcp:demo","resource":"https://run.huggingbay.xyz/mcp/"}' \
  | python3 -c 'import json,sys; print(json.load(sys.stdin)["access_token"])')

curl -fsS -X POST "$BASE/mcp/" \
  -H "Authorization: Bearer $TOKEN" \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"coprocessor","arguments":{"user_text":"<untrusted request>"}}}'

coprocessor runs the canonical Guard first and never generates text or executes tools. Add documents when retrieved chunks need bounded post-SAFE reranking. Read its action and evidence before deciding whether a caller-owned generation or tool call may continue.

Default MCP tools

Point an MCP client at https://run.huggingbay.xyz/mcp/. The public default surface is:

  • coprocessor — the primary bounded Guard-first call over user_text and optional documents.
  • run_pin — the direct alias for one of the four canonical Pins, using its published {pin_id,input} shape.
  • solve_task — the open-ended fallback when no canonical Pin matches; provide task_description and input.

Advanced compatibility capabilities remain available through explicit live references:

Trust and data policy

Read the canonical data policy before sending input. The live quickstart documents receipt semantics, 401 recovery, and the published limits; do not infer capabilities from advanced routes.

Hugging Bay mirror catalog

Hugging Bay’s mirror catalog is available at https://huggingbay.xyz. Use each artifact's published download plan for the currently admitted files. A drop-in HF_ENDPOINT compatibility origin is not part of the public contract yet, so this repository does not advertise one prematurely.

For current catalog and serving information, use the generated Bay Run status snapshot. Mirror counts and family breakdowns are intentionally not copied here because they change.

from github.com/barneywohl/bay-run

Installing Bay Run

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/barneywohl/bay-run

FAQ

Is Bay Run MCP free?

Yes, Bay Run MCP is free — one-click install via Unyly at no cost.

Does Bay Run need an API key?

No, Bay Run runs without API keys or environment variables.

Is Bay Run hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Bay Run in Claude Desktop, Claude Code or Cursor?

Open Bay Run on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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