shipwithmuse

№ 0219Skill

Deployable Muse connector template

An Apache-2.0 template for Meta Muse connectors with per-connection tokens, async job scaffolding and a single registry that generates routes, OpenAPI and llms.txt, deployable to Vercel, Workers or Docker.

Deployable Muse connector template on github.com
astroxnetwork/muse-connector-templateREADME ↗

Muse Connector Template

English · 简体中文

A deployable connector template for Meta Muse. Fork it, rename
it, point it at your own service. Apache-2.0, no strings.

📖 Read the step-by-step guide ·
中文文档

Muse is Meta's personal AI agent. It reaches third-party services through
connectors. Building one needs no app registration and no app id — you
expose an HTTP API that Muse can read about and call. This is that API, with the
parts that are easy to get wrong already done.

Deploy with Vercel
Deploy to Cloudflare

This deploys a working skeleton, not a finished connector. The operations
are placeholders. What you get is the auth model, the async-job plumbing, the
OpenAPI/llms.txt generation and the deploy wiring — so adding a real
capability becomes a small, local change.


Not locked in

Worth stating plainly, because connector platforms usually are:

  • Deploy anywhere. Vercel, Cloudflare Workers, Docker, a VPS, Fly, Railway.
    Same source, three adapters, no platform-specific code in the core.
  • Storage is a port, not a vendor. In-memory, Cloudflare KV, or any
    Upstash-compatible REST endpoint. Implement the four-method ConnectionStore
    interface and use Postgres, DynamoDB, or a file if you prefer.
  • No account with us, no API key from us, no service to sign up for.
    CONNECTOR_SECRET is a string you generate. There is nothing to call home and
    no telemetry.
  • The output is a plain OpenAPI service. Muse reads it, but so can anything
    else that speaks OpenAPI — ChatGPT, C

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