Commerce Agent Protocol MCP server
Commit 13. Nov. 2026Bereichert E-Commerce-Kataloge mit strukturierten Attributen und einem Agent-Readiness-Scoring, um Produkte für KI-Shopping-Agents durchsuchbar und kaufbar zu machen.
Auch bekannt als teocomyn/commerce-agent-protocol
- Stars
- 1
- Tools
- —
- Downloads, 30 Tage
- —
- Neueste Version
- —
- Letzter Commit
- 13. Nov. 2026
- Lizenz
- Apache-2.0
Was ist Commerce Agent Protocol MCP?
Commerce Agent Protocol ist ein MCP server. Bereichert E-Commerce-Kataloge mit strukturierten Attributen und einem Agent-Readiness-Scoring, um Produkte für KI-Shopping-Agents durchsuchbar und kaufbar zu machen.
Zusammenfassung generiert aus dem README des Projekts
Über Commerce Agent Protocol MCP server
Das Commerce Agent Protocol hilft Händlern dabei, ihre Produktkataloge für KI-Shopping-Agents vorzubereiten. Es transformiert einfache Storefront-Daten in hochstrukturierte, typisierte Attribute wie Materialien, Dimensionen und Zertifizierungen. Dieser Prozess stellt sicher, dass Produkte von KI-Tools wie ChatGPT, Gemini und Perplexity leicht gefunden und gerankt werden können. Das System unterstützt derzeit Shopify über OAuth und Bulk-Synchronisation.
Entwickler können dies als lokalen MCP server über stdio für Claude Desktop oder Cursor bereitstellen oder es über HTTP mit Remote-Clients verbinden. Das Setup erfordert eine lokale Umgebung mit Node, pnpm, Docker, Postgres mit pgvector und Redis. Zudem benötigst du einen OpenAI API key für den Enrichment-Prozess sowie spezifische Shopify-Zugangsdaten, um einen Store zu synchronisieren.
Ein Kernfeature ist das Agent-Readiness-Scoring, das das computeGeoScore Tool nutzt, um zu bewerten, wie gut ein Katalog die Anforderungen von Shopping-Agents erfüllt. Der Server stellt Tools wie commerce_search und commerce_compare bereit, damit Agents effektiv mit den angereicherten Produktdaten interagieren können.
Was du damit machen kannst
- 1Produktdaten anreichernTransformiere rohe Merchant-Metafields mittels LLM-gestütztem Enrichment in strukturierte, typisierte Attribute.
- 2Katalogqualität bewertenErmittle mithilfe eines spezifischen Readiness Scores, wie gut ein Produktkatalog auf KI-Shopping-Agents vorbereitet ist.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
Konfiguration
CAP_MERCHANT_ID
| Name | Beschreibung | Typ |
|---|---|---|
| CAP_MERCHANT_ID | — |
Automatisierte Checks
Geluften am 15. Nov. 2026Vollständiger Bericht →Noch nicht verifiziert. Ein Server benötigt einen Score von 80, keine kritischen Befunde und genug Daten für unsere Prüfung. Wie die Checks funktionieren · Was du für mehr Punkte verbessern kannst
- Source Repository verknüpft und erreichbarteocomyn/commerce-agent-protocol is public and reachablegithub.com/teocomyn/commerce-agent-protocol ↗Bestanden
- Paket nennt dieses Repository als QuelleNicht geprüft
- Build-Provenienz (Sigstore-Attestierung)Nicht geprüft
- Open Source Lizenz (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗Bestanden
- Commit oder Release im letzten JahrLast commit or release 2026-11-13github.com/teocomyn/commerce-agent-protocol ↗Bestanden
- OpenSSF ScorecardNicht geprüft
- Package-Name ähnelt keinem populären PackageNicht geprüft
- Keine kritischen Advisories im Paket oder seinen AbhängigkeitenNicht geprüft
- Keine versteckten Anweisungen an das Modell0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersBestanden
- Destruktive Tools sind markiertNicht geprüft
- Remote-Endpoint beantwortet den MCP-HandshakeNicht geprüft
README
Auf GitHub ansehenWhy CAP?
Today, when an AI shopping agent reads a store, it gets what the storefront exposes: a title, a price, a few lines of description. Agents need thirty or more structured attributes to rank and recommend a product; most catalogs expose three to eight. The checkout rails now exist (Google and Shopify's UCP, Shopify Catalog, ChatGPT and Gemini shopping). The data they read is still poor.
CAP measures and fixes that. It ingests a merchant's catalog, enriches each product into typed attributes, scores how ready it is for agents and exposes the result the way an agent reads it, so the merchant sees and fixes what the rails see. The reference implementation is free (Apache-2.0); Shopify is the only supported platform today.
Until v0.2 CAP tried to be the checkout protocol between agents and merchants. Shopify now ships a UCP MCP per store and Google, OpenAI and Stripe own the rails, so CAP feeds them instead of competing with them. See ADR-0001.
What CAP gives you
| Pillar | What it does |
|---|---|
| 1. Catalog ingestion and structured enrichment | Shopify OAuth, bulk sync and webhooks feed a raw catalog; GPT structured output turns each product into typed attributes (materials, dimensions, certifications from merchant metafields, shipping, returns) with vector embeddings. |
| 2. Agent Readiness Score | computeGeoScore rates each product and catalog on what shopping agents need to read, rank and transact it. Published weights, per-attribute fixes and calibration on real catalogs are the next milestone (ADR-0001). |
| 3. Agent-facing read surface | /v1/search (semantic, vector) and /v1/compare (matrix) over REST and MCP (commerce_search, commerce_compare, same code and errors on both), used to check how an agent sees the catalog. /v1/checkout/initiate and commerce_checkout stay for compatibility and are no longer the product promise. |
This repository contains the reference implementation (this monorepo) and the original cap-spec/ JSON schema, kept as CAP's catalog format rather than as a standard for others to implement.
Architecture
Shopify ──► OAuth ──► Catalog sync (BullMQ)
│
▼
Postgres + pgvector ──► /v1/search (vector + filters)
│ /v1/compare
│ /v1/checkout/initiate (Cart API)
│
└─► MCP stdio and HTTP /mcp (commerce_search / compare / checkout)
│
▼
Claude · ChatGPT · Perplexity · Operator
Diagrams: cap_system_architecture_overview.svg · cap_data_flow_product_to_agent.svg
Quick start
Requirements: Node ≥ 22.12, pnpm ≥ 9, Docker.
# 1. Local Postgres (with pgvector) + Redis
docker compose up -d
# 2. Environment
cp .env.example .env
# Fill in at minimum: DATABASE_URL, REDIS_URL, OPENAI_API_KEY, ENCRYPTION_KEY,
# and SHOPIFY_* if you connect a store. Replace every `change_me` value: processes refuse to
# start with example secrets. Generate secrets with:
openssl rand -hex 32 # ENCRYPTION_KEY, CAP_OPERATIONS_TOKEN, DASHBOARD_SESSION_SECRET
# 3. Install + DB schema
pnpm install
pnpm db:generate
pnpm db:migrate # uses prisma migrate deploy
# 4. Run API + dashboard
pnpm dev
API on http://localhost:3000, dashboard on http://localhost:3001.
Workers (catalog sync + LLM enrichment) run as separate processes:
pnpm --filter=@cap/api dev:worker:enrichment
pnpm --filter=@cap/api dev:worker:catalog
Try the API:
# Live OpenAPI spec
curl http://localhost:3000/openapi.json | jq
# Search (after creating a CAP API key in the dashboard)
curl -X POST http://localhost:3000/v1/search \
-H "X-CAP-Key: cap_live_..." \
-H "Content-Type: application/json" \
-d '{"query":"white eco-friendly sneakers under 120","limit":3}'
Send an Idempotency-Key header on POST /v1/checkout/initiate: a retried request with the same key and body returns the first outcome (checkout or error) instead of creating a second Shopify cart. Keys are never released; to try again after a failure, use a new key.
Connect a remote MCP client (Streamable HTTP, any client that can send a custom header). The same tools are served at /mcp of a running API; the API key decides the merchant, as on the REST endpoints. Against the local API:
claude mcp add --transport http cap http://localhost:3000/mcp \
--header "Authorization: Bearer cap_live_..."
In Cursor's mcp.json: {"mcpServers": {"cap": {"url": "http://localhost:3000/mcp", "headers": {"Authorization": "Bearer cap_live_..."}}}}. Web connectors that require OAuth (for example Claude.ai custom connectors) are not supported, and no hosted endpoint exists today.
Run as a local MCP server (stdio, for Claude Desktop / Cursor):
CAP_MERCHANT_ID=<merchant-uuid> pnpm --silent -C apps/api mcp
stdout carries only JSON-RPC frames; logs go to stderr. Keep --silent and -C (not --filter), otherwise pnpm prints its script banner on stdout and breaks the MCP stream. The stdio server reads the database directly with ENCRYPTION_KEY, so run it only on a machine you trust with those credentials.
Repository layout
| Path | What lives here |
|---|---|
apps/api |
Hono API — OAuth, webhooks, search/compare/checkout, MCP server |
apps/dashboard |
Next.js 15 dashboard — merchant overview, products, API keys, human accounts and roles |
packages/db |
Prisma schema + migrations + client |
packages/shared |
Zod schemas, GEO score, utilities shared across packages |
cap-spec/ |
The CAP protocol specification (versioned, language-agnostic) |
.github/ |
Issue / PR templates, CI workflow, CODEOWNERS |
Status
CAP is alpha (v0.2.0-alpha, 2026-11-01). The ingestion, enrichment, scoring, search and checkout code runs end-to-end in tests and locally; nothing is deployed besides this site and no real merchant store has been connected yet. The project is pivoting to an agent-readiness score and catalog-quality tooling (ADR-0001); the /v1/checkout/initiate endpoint, the remote MCP server and cap-spec/ remain in the tree but are no longer the product promise. Breaking changes are expected before v1.0.
See the CHANGELOG for the full release history.
The deployable units are the API, the dashboard, the catalog worker and the enrichment worker, as separate services; none of them is deployed today (only this site is). See the dashboard authentication guide, staging runbook, Shopify E2E runbook, operations runbook, production deployment runbook, render.staging.yaml, and render.yaml.
Contributing
We welcome contributions of all sizes — from typo fixes to new platform adapters (WooCommerce, Salesforce Commerce, custom carts).
- Read the Contribution guide
- Check open issues labeled
good first issue - For protocol changes, open a Spec Proposal
By participating, you agree to abide by our Code of Conduct.
To report a security vulnerability, see SECURITY.md.
Community
- Discussions — GitHub Discussions
- Issues — GitHub Issues
- Security — private vulnerability report, see SECURITY.md
License
CAP is licensed under the Apache License 2.0 — including an explicit patent grant. The protocol itself is free to implement, fork, or embed.
Commerce Agent Protocol MCP Fragen
Welche Plattformen unterstützt CAP?
Aktuell wird nur Shopify unterstützt.
Wie verbessert CAP Produktkataloge für KI?
Es importiert Kataloge, reichert Produkte mittels GPT in typisierte Attribute an und liefert einen Agent Readiness Score, um zu messen, wie gut Agents Produkte ranken und Transaktionen durchführen können.