CatalogMCP
Enables natural-language setup and management of a governed digital product catalog, including schema, products, and rules, with dry-run previews, audit logging, and two-phase confirmations for destructive actions.
README
CatalogMCP
Setting up a digital product catalog today is either slow (click through a UI for every attribute and rule) or expensive (script it against an API, which turns labor cost into engineering cost for every future change). This is a spike proving a third option: an agent talking to a governed MCP tool surface can replace both. A catalog admin describes what they want in plain language ā "add a Weight attribute in kg, required for all Industrial-line products" ā and an agent executes it through tools that preview, log, and gate every change. Setup becomes a conversation instead of a UI marathon or an engineering ticket.
Demo
š„ Watch the recorded demo ā screen recording of the exact run described below.
The scripted client in demo/client.ts drives this server through
a real Claude tool-use loop (Anthropic Messages API, no mocking) and walks through:
- Browsing the empty catalog.
- A natural-language request to set up the catalog from an attached file of products and their attribute values ā including the schema (attributes, a required-for-industrial-line rule) the import depends on.
- A dry-run preview surfacing two rows that fail validation, a back-and-forth to fix them, then a real commit of all five products.
- Reading the audit log the commit produced.
- Browsing the catalog again, now populated ā closing the loop the same way it opened, via the agent, not a human refreshing a UI.
- A destructive request ā delete the
materialattribute ā held for confirmation with a data-aware blast-radius disclosure (5 affected products, by name), then confirmed. - A closing beat: the same request attempted against a read-only instance, cleanly refused.
The full text transcript of that same run is in
demo/transcript.txt ā reproducible yourself by running
npm run demo.
What makes this MCP (not just an API)
MCP is a wire protocol ā JSON-RPC 2.0 messages
over a transport (stdio here; HTTP/SSE elsewhere) ā not a coding convention. A
small, fixed set of method names is standardized by the spec itself, so any
compliant client (Claude Desktop, this repo's own demo/client.ts, any other agent
framework) can talk to this server without knowing anything about catalogs,
attributes, or rules ahead of time.
The protocol methods
| Method | Direction | Purpose |
|---|---|---|
initialize |
client ā server | Handshake: exchange protocol versions, negotiate capabilities |
notifications/initialized |
client ā server | Client confirms it's ready |
tools/list |
client ā server | Discovery ā "what can you do?" Returns every tool's name, description, and JSON Schema input shape |
tools/call |
client ā server | Invocation ā "do this one, with these arguments" |
That's the entire surface an agent needs to know in advance. There's no
POST /create_attribute endpoint ā an agent calls tools/call with
{"name": "create_attribute", "arguments": {...}}. A trimmed real exchange with
this server:
// ā client
{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05", ...}}
// ā server
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":"2024-11-05","capabilities":{"tools":{"listChanged":true}},"serverInfo":{"name":"catalog-mcp","version":"0.1.0"}}}
// ā client
{"jsonrpc":"2.0","id":2,"method":"tools/list"}
// ā server ā every tool below, as name + description + JSON Schema
{"jsonrpc":"2.0","id":2,"result":{"tools":[{"name":"list_attributes", ...}, ...]}}
How it works in this codebase
We never wrote a tools/list or tools/call handler. Every call to
server.registerTool(name, config, handler) in src/tools/ appends
to an internal registry inside @modelcontextprotocol/sdk's McpServer. The SDK
answers tools/list by dumping that registry (converting our Zod schemas to JSON
Schema along the way) and answers tools/call by looking the requested name up in
the same registry and invoking its handler ā none of that is our code. It's also
why the governance layer (src/governance/governed-registration.ts)
wraps registerTool itself rather than hooking into some HTTP middleware layer:
that single call is the only seam every tool invocation is guaranteed to pass
through.
The tools
12 tools, grouped by what they operate on. Every mutating tool accepts
dryRun: true for a no-persist preview; full argument shapes are in
src/tools/.
Schema (catalog structure ā attributes, rules)
| Tool | Args | Mutating? |
|---|---|---|
list_attributes |
ā | no |
get_attribute |
name |
no |
create_attribute |
name, type, enumValues?, unit?, dryRun? |
yes |
update_attribute |
name, type?, enumValues?, unit?, dryRun? |
yes |
delete_attribute |
name, confirmToken? |
yes ā destructive, two-phase |
list_rules |
ā | no |
create_rule |
attributeName, productLines, dryRun? |
yes |
Content (actual products)
| Tool | Args | Mutating? |
|---|---|---|
list_products |
ā | no |
get_product |
sku |
no |
import_products |
rows, dryRun? |
yes ā bulk, upsert, partial-commit |
set_attribute_value |
sku, attributeName, value, dryRun? |
yes |
Governance
| Tool | Args | Mutating? |
|---|---|---|
list_audit_log |
ā | no |
Why the guardrails aren't optional
Nobody hands an ungoverned agent write access to a live product catalog. The preview/audit/approval layer isn't a safety feature bolted on afterward ā it's the precondition that makes "just describe what you want" viable for something you can't afford to get wrong. Concretely, this server never lets a mutation happen blind:
- Dry-run preview ā every mutating tool accepts
dryRun: trueand returns the exact outcome without persisting anything. - Audit log ā every tool call is recorded (timestamp, tool, args, actor, outcome) and readable via its own tool, not just claimed to exist.
- Two-phase confirm on destructive ops ā deleting an attribute first returns a blast-radius disclosure (a count and a sample of affected products) and a token; only a second call with that token executes, and if the catalog changed in between, the stale token is refused rather than honored.
- Policy mode ā the server can run fully read-only, refusing every mutating tool at the gate, for a locked-down deployment.
See CONTEXT.md for the domain glossary and CLAUDE.md
for the full scope, tool surface, and explicit non-goals.
Setup
npm install
npm test # domain, tool, and governance tests, plus the 6-step demo acceptance test
npm run dev # start the MCP server over stdio (add --read-only to lock it down)
npm run demo # run the scripted Claude-driven demo client (needs ANTHROPIC_API_KEY)
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