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@merchinary/docs-mcp

v0.1.1

Published

MCP server exposing Merchinary's product knowledge (Bulk Product Editor + Image Editor for Shopify) — search docs, read how-to guides, and discover capabilities.

Downloads

190

Readme

@merchinary/docs-mcp

An MCP server that exposes Merchinary's product knowledge — what the Shopify apps Bulk Product Editor and Image Editor can do, and how to do it. Point any MCP-capable AI client at it to answer "how do I…" and feature-discovery questions, grounded in the public docs at https://docs.merchinary.com.

The knowledge is the curated documentation itself (54 pages), baked into a static index at build time — no database, no auth (the docs are public).

Tools

| Tool | Purpose | | --- | --- | | search_docs | Fuzzy/keyword search across the docs. { query, product?, limit? } → ranked pages with snippet + URL. | | read_doc | Full plain-text of one page. { id } (from a search hit) or { url }. | | list_capabilities | Structured map of products → categories → pages. { product? }. Use for feature discovery. |

Products: bulk-product-editor, image-editor.

Use it (no install — remote)

Connect your client to the hosted Streamable HTTP endpoint:

https://mcp.merchinary.com/mcp

Claude Desktop / clients that support remote MCP servers:

{
  "mcpServers": {
    "merchinary-docs": {
      "type": "streamable-http",
      "url": "https://mcp.merchinary.com/mcp"
    }
  }
}

Use it (local — stdio via npx)

{
  "mcpServers": {
    "merchinary-docs": {
      "command": "npx",
      "args": ["-y", "@merchinary/docs-mcp"]
    }
  }
}

Develop

npm install
npm run build:knowledge        # generate data/knowledge.json from ../web-docs docs
npm run build                  # build:knowledge + tsc -> dist/
npm test                       # vitest unit tests over the knowledge layer

# Run locally
npm run dev:stdio              # stdio transport (tsx)
npm run dev:http               # Streamable HTTP on :8080  (POST /mcp, GET /healthz)

# Inspect interactively
npm run inspector              # MCP Inspector against the stdio server

The index is generated from the curated docs in web-docs/sites/docs-site/docs/ (single source, shared with the in-app Help search). Rebuild (npm run build:knowledge) and redeploy whenever the docs change.

Deploy (HTTP transport)

Dockerfile builds a stateless image with the index baked in — suitable for Cloud Run, Firebase, or any container host. Listens on $PORT (default 8080), serving POST /mcp and GET /healthz.

Registry

server.json is the MCP registry manifest, listing both the npm (stdio) package and the remote (streamable-http) endpoint.