Packrift MCP
Remote MCP server for Packrift's AI-ready packaging catalog and ecommerce packaging workflows.
Packrift MCP Server
Production MCP (Model Context Protocol) server for Packrift exact-spec packaging procurement. Hero use case: find the right packaging supply for a given item, SKU, or reorder need, then confirm live price, inventory, shipping, and cart handoff.
- Stack: Cloudflare Workers, TypeScript (strict), Hono, Zod, Streamable HTTP transport
- Backing: Shopify Admin GraphQL API (
2025-04), storepackrift.myshopify.com - Endpoint:
POST /mcp,GET /mcp(SSE),GET /andGET /start(MCP start page),GET /.well-known/mcp/server-card.json - Install guide: see
llms-install.mdfor remote MCP client configuration. - Discovery gate: product lookup, reorder, quote, and cart handoff flows are constrained to AI-approved Packrift catalog records where SKU selection is involved.
Remote MCP client setup
The public Packrift endpoint is hosted at:
https://mcp.packrift.com/mcp
Fast start page for developers, agents, and directory reviewers:
https://mcp.packrift.com/start
Directory and partner handoffs can use tracked start links without changing the MCP endpoint. Use a lowercase source slug with letters, numbers, and underscores:
https://mcp.packrift.com/r/start/{source}
The start page also renders source-specific copy controls when it receives a source:
https://mcp.packrift.com/start?utm_source={source}
Those handoffs record aggregate install-intent telemetry: /r/config/{source} fetches show up as mcp_tracked_config_fetches, /r/install/{source}/{target} opens show up as mcp_install_intent, and copy controls record mcp_install_copy by source and target so partner and directory handoffs can be evaluated before downstream cart events appear.
Custom partner, campaign, directory, and agent-workflow slugs are allowed without code changes as long as they match ^[a-z0-9_]{2,64}$. Examples: mcpservers_org, agency_partner, browser_agent_demo, newsletter_mcp.
When a directory or agent host wants a source-attributed config file instead of an HTML start page, use:
https://mcp.packrift.com/r/config/{source}
Tracked config fetches are exposed by source in https://mcp.packrift.com/ai/mcp-usage-snapshot.json.
For a target-specific tracked install action, use:
https://mcp.packrift.com/r/install/{source}/{target}
Common targets include generic_streamable_http, claude_code, codex, claude_desktop, and cursor_windsurf_vscode.
MCP clients that support remote HTTP or Streamable HTTP servers can add Packrift with:
{
"mcpServers": {
"packrift": {
"type": "http",
"url": "https://mcp.packrift.com/mcp"
}
}
}
Hosted connector and directory listings
Use the hosted endpoint above when possible. It requires no buyer-side API key and exposes the current 15-tool Packrift exact-spec commerce surface.
- Glama hosted connector: https://glama.ai/mcp/connectors/io.github.Packrift/packrift-mcp
- MCP Marketplace listing: https://mcp-marketplace.io/server/io-github-packrift-packrift-mcp
- Official MCP Registry search: https://registry.modelcontextprotocol.io/v0/servers?search=Packrift
- Claude connector submission packet: https://mcp.packrift.com/ai/claude-connector-submission.json
- Agent capture outreach packet: https://mcp.packrift.com/ai/agent-capture-outreach.json
- Source repository: https://github.com/Packrift/packrift-mcp
- Direct Streamable HTTP endpoint: https://mcp.packrift.com/mcp
Container Image
The public hosted endpoint above is the primary integration path and the
canonical server.json manifest is remote-only. A container image is still
published for local development and environments that explicitly require a
self-hosted package-style install surface:
docker pull ghcr.io/packrift/packrift-mcp:latest
docker run --rm -p 8787:8787 \
-e SHOPIFY_PACKRIFT_TOKEN=... \
ghcr.io/packrift/packrift-mcp:latest
You can also build the image from this repository:
docker build -t packrift-mcp .
docker run --rm -p 8787:8787 \
-e SHOPIFY_PACKRIFT_TOKEN=... \
packrift-mcp
Optional environment variables:
PORTdefaults to8787SHOPIFY_STORE_DOMAINdefaults topackrift.myshopify.comSHOPIFY_API_VERSIONdefaults to2025-04STOREFRONT_DOMAINdefaults topackrift.comSHOPIFY_PACKRIFT_TOKENis optional for MCP introspection and directory scanning, but required when self-hosting live Shopify-backed catalog, pricing, inventory, shipping, and cart tools
The container uses an in-memory cache instead of Cloudflare KV. It is intended
for discovery and client testing; the production server remains the Cloudflare
Workers endpoint at https://mcp.packrift.com/mcp.
AI Discovery Surfaces
llms.txt: https://mcp.packrift.com/llms.txtllms-full.txt: https://mcp.packrift.com/llms-full.txt- MCP server card: https://mcp.packrift.com/.well-known/mcp/server-card.json
- MCP client config: https://mcp.packrift.com/ai/mcp-client-config.json
- Root MCP JSON config: https://mcp.packrift.com/mcp.json
- Well-known MCP JSON config: https://mcp.packrift.com/.well-known/mcp.json
- Glama connector claim: https://mcp.packrift.com/.well-known/glama.json
- MCP Marketplace manifest: https://mcp.packrift.com/.well-known/mcp-marketplace.json
- AI corpus sitemap: https://mcp.packrift.com/ai/sitemap.xml
- All-agent capture matrix: https://mcp.packrift.com/ai/all-agent-capture.json
- All-agent capture matrix Markdown: https://mcp.packrift.com/ai/all-agent-capture.md
- Agent capture outreach packet: https://mcp.packrift.com/ai/agent-capture-outreach.json
- Agent capture outreach packet Markdown: https://mcp.packrift.com/ai/agent-capture-outreach.md
- MCP tracked start template: https://mcp.packrift.com/r/start/{source}
- MCP tracked config template: https://mcp.packrift.com/r/config/{source}
- MCP tracked start source format:
^[a-z0-9_]{2,64}$; partner-specific slugs are allowed without pre-registration - MCP start pack: https://mcp.packrift.com/ai/mcp-start.json
- MCP start pack Markdown: https://mcp.packrift.com/ai/mcp-start.md
- MCP adoption kit: https://mcp.packrift.com/ai/mcp-adoption-kit.json
- MCP adoption kit Markdown: https://mcp.packrift.com/ai/mcp-adoption-kit.md
- MCP install matrix: https://mcp.packrift.com/ai/mcp-install-matrix.json
- MCP install matrix Markdown: https://mcp.packrift.com/ai/mcp-install-matrix.md
- MCP client config Markdown: https://mcp.packrift.com/ai/mcp-client-config.md
- MCP usage snapshot: https://mcp.packrift.com/ai/mcp-usage-snapshot.json
- MCP usage snapshot Markdown: https://mcp.packrift.com/ai/mcp-usage-snapshot.md
- MCP buyer use cases: https://mcp.packrift.com/ai/mcp-buyer-use-cases.json
- MCP buyer use cases Markdown: https://mcp.packrift.com/ai/mcp-buyer-use-cases.md
- MCP cart activation: https://mcp.packrift.com/ai/mcp-cart-activation.json
- MCP cart activation Markdown: https://mcp.packrift.com/ai/mcp-cart-activation.md
- MCP first-run proof: https://mcp.packrift.com/ai/mcp-first-run-proof.json
- MCP first-run proof Markdown: https://mcp.packrift.com/ai/mcp-first-run-proof.md
- MCP workflow gallery: https://mcp.packrift.com/ai/mcp-workflow-gallery.json
- MCP workflow gallery Markdown: https://mcp.packrift.com/ai/mcp-workflow-gallery.md
- Browser-agent bridge: https://mcp.packrift.com/ai/browser-agent-bridge.json
- Browser-agent bridge Markdown: https://mcp.packrift.com/ai/browser-agent-bridge.md
- Root Browserbase/Browse SKILL.md: https://mcp.packrift.com/SKILL.md
- Browserbase Browse skill pack: https://mcp.packrift.com/ai/browserbase-browse-skill-pack.json
- Browserbase Browse skill pack Markdown: https://mcp.packrift.com/ai/browserbase-browse-skill-pack.md
- Canonical Browserbase/Browse SKILL.md: https://mcp.packrift.com/ai/browserbase-browse/SKILL.md
- MCP directory refresh pack: https://mcp.packrift.com/ai/mcp-directory-refresh.json
- MCP directory refresh pack Markdown: https://mcp.packrift.com/ai/mcp-directory-refresh.md
- MCP directory submit actions: https://mcp.packrift.com/ai/mcp-directory-submit-actions.json
- MCP directory submit actions Markdown: https://mcp.packrift.com/ai/mcp-directory-submit-actions.md
- Agent capture outreach packet: https://mcp.packrift.com/ai/agent-capture-outreach.json
- Agent capture outreach packet Markdown: https://mcp.packrift.com/ai/agent-capture-outreach.md
- AI-approved product JSONL: https://mcp.packrift.com/ai/packrift-ai-approved-products.jsonl
- AI purchase paths JSONL: https://mcp.packrift.com/ai/purchase-paths.jsonl
- MCP cart handoff candidates: https://mcp.packrift.com/ai/mcp-cart-handoff-candidates.json
- Measured handoff directory: https://mcp.packrift.com/ai/measured-handoffs.json
- Measured cart landing example: https://mcp.packrift.com/r/cart/1066
- Reorder by SKU corpus: https://mcp.packrift.com/ai/reorder-by-sku.md
- Top 1,000 AI-sales SKU sitemap: https://mcp.packrift.com/ai/top-1000-ai-sales-sitemap.xml
- All AI-approved SKU sitemap: https://mcp.packrift.com/ai/all-ai-approved-sku-sitemap.xml
- OpenAI-shaped strict product TSV: https://mcp.packrift.com/ai/packrift-openai-products-strict-stable-current.tsv
- Shopify native UCP guide: https://mcp.packrift.com/ai/shopify-native-ucp-commerce-surface.md
- Example SKU markdown page: https://mcp.packrift.com/ai/sku/1066.md
- Example SKU JSON record: https://mcp.packrift.com/ai/sku/1066.json
Tools
Tools are framed around exact-spec procurement, not generic browsing. Use find_packaging_for_item when the buyer has item dimensions or a fit question; use SKU and exact-spec tools when the buyer is replenishing a known product.
| Tool | Purpose |
|---|---|
find_packaging_for_item(dims, weight, use_case) | Hero. Item L/W/D + weight + use case -> ranked packaging SKUs that fit. Use for smallest-fit, box-vs-mailer, and Uline-by-size style questions. |
search_products(query, limit?) | Keyword fallback when dimensions are unknown, such as kraft tape, bubble mailer, starter kit, or weather-resistant labels. Cached 5 min in KV. |
get_product(handle) | Full product detail including variants, dimensions/metafields, weight, stock, and product URL. |
get_pricing(variant_ids[], quantity?) | Live unit price and line total before purchase handoff. Never cached. |
check_inventory(variant_ids[]) | Live inventory check before recommending or building a cart. Never cached. |
get_shipping_estimate(zip, country, items[]) | Carrier rates for a chosen cart via Shopify draftOrderCalculate. |
get_cart_handoff_candidates(limit?, family?, sku?) | Priority AI-approved SKUs with ready create_cart_url arguments, measured SKU/product/reorder/quote/cart links, and required live-confirmation sequence. |
create_cart_url(items[], discount_code?, ref?) | Final cart handoff. Builds a GA4-visible Packrift cart landing URL plus the final packrift.com/cart/... permalink with ref=mcp and AI-commerce attribution fields. |
prepare_purchase_handoff(sku, quantity?, buyer_confirmed?) | Fast exact-SKU path. Confirms the AI_APPROVE product, live price, and inventory, then returns a measured MCP cart URL only when buyer_confirmed=true. |
compare_alternatives(requested_spec, family?, competitor_reference?, limit?) | Ranks AI-approved Packrift alternatives for open-ended buyer requests, including competitor-style packaging specs. |
pack_calculator(item, padding?, use_case?, limit?) | Calculates protected inside dimensions and returns fitted box or mailer candidates with void-fill guidance. |
inventory_status(variant_ids?, sku?, handle?, quantity?) | Live total and location-level Shopify inventory status for exact SKUs, handles, or variant IDs. |
get_reorder_link(sku, handle?) | Reorder URL, product URL, and copy-procurement-spec text for an AI-approved SKU or handle. |
get_bulk_quote_link(requested_spec, family?, sku?, quantity?) | Tracked bulk quote URL for no-exact-match, large-volume, or procurement-review workflows. |
explain_no_exact_match(requested_spec, missing_or_mismatched_fields?) | Explains why a nearby product should not be presented as exact, then routes to safe next actions and quote recovery. |
MCP Prompts And Resources
The server advertises prompts and resources in addition to tools.
Prompts:
find_exact_packaging_specfit_item_then_prepare_cartreview_cart_handoff_candidatesreorder_packrift_skuprepare_cart_handoffrequest_bulk_quote_for_no_matchcopy_procurement_specfind_box_by_lwhfind_label_by_size_material_printer
Resources include the AI-approved product corpus, per-SKU markdown/JSON records, purchase-path JSONL, MCP cart handoff candidates, MCP cart activation playbook, measured handoff directories with cart routes, exact-spec family files, no-exact-match policy, crawler-safe purchase paths, and the Shopify-native UCP commerce surface.
Exact-spec AI-commerce examples
Packrift is optimized for exact-spec packaging procurement: agents should not treat nearby sizes, materials, colors, adhesives, strength ratings, or case counts as exact substitutes. If there is no exact AI-approved match, route the buyer to reorder, no-match explanation, or bulk quote recovery instead of forcing a substitute.
Current paid ChatGPT / product-card order families that are represented in the public corpus:
- SKU
1066: 10 x 6 x 6 ECT-32 kraft corrugated boxes, 25/bundle - SKU
MFL1295: 12 1/8 x 9 1/4 x 5 white self-seal literature mailers, 50/pack - SKU
LL251WR: 2 5/8 x 1 weather-resistant polyester laser labels, 3000/case
Local development
Install Node 24+ and the deps:
cd ~/Downloads/packrift-mcp
npm install
Use /Users/farhan/Downloads/packrift-mcp as the canonical production worktree. The older
/Users/farhan/Downloads/packrift-mcp-server checkout is a legacy duplicate and must not be
used for Worker deploys because it can overwrite mcp.packrift.com with stale routes/tools.
Local secrets — already created at .dev.vars (gitignored):
SHOPIFY_PACKRIFT_TOKEN=shpat_...
Run the server:
npx wrangler dev --port 8787 --local
Smoke-test the MCP endpoint with curl:
# initialize
curl -s -X POST http://127.0.0.1:8787/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"curl","version":"1"}}}'
# list tools
curl -s -X POST http://127.0.0.1:8787/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}'
# search
curl -s -X POST http://127.0.0.1:8787/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"search_products","arguments":{"query":"poly mailer","limit":3}}}'
Type-check:
npx tsc --noEmit
Smoke-test the hosted cart handoff path without creating an order or collecting payment:
npm run smoke:cart-handoff
This synthetic check calls the current hosted MCP endpoint, verifies
get_cart_handoff_candidates -> get_product -> get_pricing -> check_inventory -> create_cart_url, and checks the MCP cart landing route. It writes JSON and
Markdown evidence under outputs/mcp-cart-handoff-smoke/. Add
-- --sku LL251WR --qty 1 to test another AI-approved SKU. Use
-- --verify-final-cart only when intentionally checking Shopify's final cart
redirect.
GitHub Actions also runs the hosted smoke checks every six hours and on manual
dispatch through .github/workflows/mcp-live-smoke.yml. The scheduled job
checks both 1066 and LL251WR, then uploads smoke and capture evidence
artifacts. Run npm run check:distribution for the broader directory and
registry monitor; it exits nonzero only when a tracked surface has a true
fail status.
Refresh the llms-full.txt priority SKU block from recent GA4 item activity joined to the AI-approved catalog and live Shopify inventory:
npm run build:llms-full -- \
--ga4-items /path/to/packrift-ga4-items.csv \
--approved-jsonl /path/to/packrift-ai-approved-products.jsonl \
--limit 20
The generated public block must not include local paths, internal notes, or non-public campaign details. A private JSON report is written under outputs/llms-full-priority-skus/.
To run the whole refresh path, pull fresh GA4 reports, publish the public llms-full.txt override into Workers KV, purge the public agent URLs, and verify the live surfaces:
npm run refresh:llms-full -- --publish-kv
This updates the static-override:llms-full.txt KV key. The Worker serves that override after the current deploy, so future priority-SKU refreshes do not require deploying unrelated Worker source changes.
Check crawler-facing llms-full.txt availability across six AI user agents:
npm run check:static-availability -- --samples-per-ua 200 --concurrency 30
This writes JSON and Markdown evidence under outputs/static-availability/. The funnel snapshot also runs this check and reports failure rate, 5xx rate, content validation, and p95 latency.
Refresh the full MCP funnel proof, including first-party Shopify order stitching for MCP cart attributes:
npm run snapshot:funnel
The snapshot reads the token-protected https://mcp.packrift.com/admin/mcp-orders
endpoint, scans recent Shopify orders for MCP cart attributes such as
packrift_mcp_key, packrift_ai_id, and utm_source=chatgpt-mcp, and reports
attributed order count and revenue beside GA4 cart-landing evidence. The admin
endpoint requires MCP_STATS_TOKEN and does not expose customer PII.
Refresh MCP directory evidence:
npm run check:distribution
npm run build:directory-submission-pack
The distribution check reports which public MCP directories are current, stale, blocked, or failing. The submission pack turns stale rows into copy-ready listing fields, live proof URLs, and the next refresh action for each directory.
Check the all-agent capture hub:
npm run check:agent-capture
npm run build:agent-capture-outreach
This verifies that https://mcp.packrift.com/ai/all-agent-capture.json and
.md, https://mcp.packrift.com/ai/mcp-adoption-kit.json and .md,
https://mcp.packrift.com/ai/mcp-install-matrix.json and .md,
https://mcp.packrift.com/ai/mcp-usage-snapshot.json and .md, and
https://mcp.packrift.com/ai/mcp-buyer-use-cases.json and .md, and
https://mcp.packrift.com/ai/mcp-cart-activation.json and .md, and
https://mcp.packrift.com/ai/browser-agent-bridge.json and .md, and
https://mcp.packrift.com/SKILL.md, and
https://mcp.packrift.com/ai/mcp-directory-refresh.json and .md, and
https://mcp.packrift.com/ai/mcp-directory-submit-actions.json and .md, and
https://mcp.packrift.com/ai/agent-capture-outreach.json and .md are live,
advertised in resources/list, include the core agent surfaces,
first-five-minute install/test path, copy-paste developer examples, copy-ready install matrix, public usage snapshot,
buyer workflow map, cart activation playbook, browser-agent bridge, directory refresh pack, directory submit-action queue,
agent capture outreach packet, Browserbase Browse candidate lane, and root SKILL.md, and preserve the
rule that Packrift uses the hosted MCP endpoint instead of a duplicate CLI surface. The outreach build writes
copy-ready stale-directory refresh messages, Browserbase Browse candidate
briefs, proof links, and MCP install snippets under
outputs/agent-capture-outreach/.
Deployment
The Cloudflare account is being created in a separate process. Once it's ready and wrangler is logged in (wrangler login), run these in order:
cd ~/Downloads/packrift-mcp
# 1. Create the KV namespace and copy the printed id into wrangler.toml
# (replace both `id` and `preview_id` with the same value).
npx wrangler kv namespace create CATALOG_CACHE
# 2. Set the Shopify Admin token as a secret (paste shpat_... when prompted).
npx wrangler secret put SHOPIFY_PACKRIFT_TOKEN
# 3. Deploy. Initial deploy puts the worker on
# https://packrift-mcp.<account>.workers.dev
npx wrangler deploy
# 4. (Once mcp.packrift.com is CNAME'd to the worker) uncomment the [[routes]]
# block in wrangler.toml and redeploy.
npx wrangler deploy
After deploy, the MCP endpoint is https://packrift-mcp.<account>.workers.dev/mcp (and later https://mcp.packrift.com/mcp). The server card lives at /.well-known/mcp/server-card.json.
Design notes / caveats
cartCreateis a Storefront API mutation, not Admin. The brief asked forcartCreate+cartBuyerIdentityUpdatefor shipping rates, but those don't exist on the Admin GraphQL API this server uses. The supported Admin path isdraftOrderCalculate, which is whatget_shipping_estimateuses. It returns the same carrier-rate data without creating a real order.- Dimensions parsing. Packrift product dimensions live in
custom.specN_valuemetafields where the matchingcustom.specN_namesays "Dimensions" or "Size". Format is human-readable (12 1/8" L x 11 5/8" W x 2 5/8" H).src/dimensions.tsparses mixed fractions and falls back to scanning the title. - Recommend collections. The brief mentioned
mailer-boxescollection — that handle does not exist on the live store. We usemailers-envelopes,boxes-mailers,corrugated-boxes,bubble-wrap-foam,cushioning, andecommerce-fulfillment(verified viacollectionsquery 2026-04-29). - Use case mapping is in
src/tools/recommend_packaging.ts(COLLECTIONS_BY_USE_CASE). - Shipping rate
handlein the response is a long opaque JWT-style string — that's how Shopify returns rate handles; pass it through to subsequent calls if needed. - Errors: tool exceptions are returned as
{ content: [...], isError: true }per the MCP spec, not as JSON-RPC-3260xerrors. Protocol-level errors (unknown tool, bad JSON) do return JSON-RPC errors.
File map
src/
index.ts Hono app + MCP JSON-RPC dispatcher
shopify.ts Admin GraphQL client + id helpers
dimensions.ts Spec-string -> structured dimensions
server-card.ts /.well-known card
tools/
search_products.ts
get_product.ts
get_pricing.ts
check_inventory.ts
recommend_packaging.ts
get_shipping_estimate.ts
create_cart_url.ts
exploration_tools.ts
procurement_links.ts
wrangler.toml Worker config (KV binding, vars, route)
package.json
tsconfig.json
.dev.vars Local-only secrets (gitignored)
AI Sales SKU Discovery Pages
Packrift publishes AI-commerce SKU pages for exact-spec procurement agents.
- Top 1,000 AI SKU sitemap: https://mcp.packrift.com/ai/top-1000-ai-sales-sitemap.xml
- SKU markdown template: https://mcp.packrift.com/ai/sku/1066.md
- SKU JSON template: https://mcp.packrift.com/ai/sku/1066.json
- Reorder corpus: https://mcp.packrift.com/ai/reorder-by-sku.md
- AI-approved product JSONL: https://mcp.packrift.com/ai/packrift-ai-approved-products.jsonl
Each SKU page links to the canonical Packrift product page, reorder path, bulk quote path, MCP endpoint, and no-exact-match policy. Use these pages only for AI-approved products and confirm live price and inventory through the MCP tools before checkout handoff.
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