ai-delivery-coordination
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ai-delivery-coordinationcheck the stall report for the delivery loop"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AI Delivery Coordination
AI Delivery Coordination is a TypeScript control plane for multi-party delivery. It stores delivery membership, pipeline DAG state, claim leases, artifact pointers, approvals, gates, notices, audit events, costs, alerts, security incidents, idempotency records and transactional outbox events.
The runtime is Node.js 22 with a pnpm workspace:
apps/api Hono REST, session auth, SSE and dashboard hosting
apps/dashboard React operator dashboard
apps/mcp real @modelcontextprotocol/sdk stdio participant server
apps/cli REST-first CLI and local binding init
apps/executor relay, scheduler/reaper and Redis Streams worker entrypoints
packages/contracts shared Zod request, status and error schemas
packages/domain pure delivery state, DAG and domain errors
packages/application command/query services and transport adapters
packages/infrastructure database, auth, outbox, Redis and worker adapters
migrations reviewable PostgreSQL migration sourceSecurity and storage
Every request is scoped to a Team. API Keys use coord_sk_<key_id>.<secret> and are stored as Argon2id hashes. Dashboard login exchanges an API Key for an HttpOnly SameSite session; session writes also require the CSRF header. COORDINATION_JWT_SECRET or COORDINATION_JWT_SECRET_FILE is mandatory and must contain at least 32 bytes.
API Key creation and rotation disclose the secret only in the first response. An idempotent replay returns a redacted result; key material is never stored in audit, outbox, or idempotency records.
Production requires COORDINATION_MODE=production and a PostgreSQL URL. SQLite is only for one-process standalone/dev/test. Run migrations explicitly; API startup only checks the recorded revision and never performs implicit DDL. Redis is a wake-up transport, while PostgreSQL remains the job and audit source of truth.
Related MCP server: orchestrator-mcp
Development
corepack enable
pnpm install
pnpm --filter @ai-delivery-coordination/application db:migrate
pnpm typecheck
pnpm test
pnpm buildStandalone example:
COORDINATION_MODE=standalone \
COORDINATION_DATABASE_URL=sqlite+better-sqlite3:///data/coordination.db \
COORDINATION_JWT_SECRET="$(openssl rand -hex 32)" \
pnpm --filter @ai-delivery-coordination/application db:migrateStart services with pnpm start:api, or use docker/docker-compose.yml for Postgres, Redis, migration, API, relay, scheduler and worker. The container runs as a non-root user and receives its JWT secret through a Docker secret.
Participant contract
The participant skill lives at .agents/skills/coordination-participant. MCP credentials are read only from COORDINATION_API_KEY and COORDINATION_TEAM_ID; they are never tool arguments or log fields. The participant loop is:
get_delivery_status -> list_claimable_nodes -> claim_node
-> local work -> register_artifact_ref -> report_node_status(done)All public writes are under /api/v1/teams/{team_id}/..., require Idempotency-Key, and aggregate updates require If-Match (MCP/CLI use expected_version). Errors share code, message, request_id, and details.
The control plane intentionally does not execute LLMs or agents and does not include memory stores, Git/PR automation, Langfuse, artifact proxying, or legacy Python runtime paths.
This server cannot be deployed
Maintenance
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