C
Caution
74/100
9 days ago

catalog-intelligence-agent

MCP server for autonomous catalog enrichment, turning raw ERP data into storefront-ready product listings with SEO titles, descriptions, images, schema.org, and validation. Provides tools for EAN lookup, image search, enrichment, batch processing, URL analysis, and Shopify payload generation.

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

carlosnunesjr1

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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// key findings
🚨
Secret credentials may flow to a network call
2 flows detected: AI_API_KEY, PEXELS_KEY. We can’t prove the destination matches the brand the credential belongs to.
🔐
You'll be asked for 2 credentials: AI_API_KEY, PEXELS_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
🔐 secretAI_API_KEYIA: qualquer endpoint OpenAI-compatível via env (AI_ENDPOINT, AI_MODEL, ) — sem key, o agente funciona 100% determinístico
configAI_ENDPOINTIA: qualquer endpoint OpenAI-compatível via env (, AI_MODEL, AI_API_KEY) — sem key, o agente funciona 100% determinístico
configAI_MODELIA: qualquer endpoint OpenAI-compatível via env (AI_ENDPOINT, , AI_API_KEY) — sem key, o agente funciona 100% determinístico
🔐 secretPEXELS_KEY
configSERVER
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deployPORT
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

10/10 tools missing one or more hints — lookup_ean (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_images (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); enrich_product (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +7 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool inputs are validated

9/10 tool handlers declare input schemas (90%)

Declare an inputSchema with zod/joi/yup on every tool definition.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tool test coverage

Only 1/10 tools referenced in tests (10%)

Write tests that reference each tool by name so every tool has at least one test.

Shell command execution

3 child_process/subprocess calls in production code — runs shell commands (src/services/images/analyze.ts:53, src/services/images/ocr.ts:38, src/services/images/process.ts:66)

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Secrets stay with their owner

1 secret/sensitive value flow into network calls (AI_API_KEY → dynamic) (1 other flows matched canonical API hosts)

Audit where credentials are sent. A NOTION_TOKEN should only reach api.notion.com — never a third-party host.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 7 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Verified](https://m8ven.ai/badge/mcp/carlosnunesjr1-catalog-intelligence-agent-1i43al?variant=verified)](https://m8ven.ai/mcp/carlosnunesjr1-catalog-intelligence-agent-1i43al)
Shows verification status without the grade. Want the grade badge instead? Remove ?variant=verified from the URL.
commit: d54e6d50f88400ed806db5cd67c57da550535de1
code hash: 87dac91cf9ea831f12cd5094ecb3969e8c64851ba5d227f8ab49436bc557be52
verified: 8/10/2026, 8:00:58 AM
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