Perceptron Vision MCP Server (perceptron-ai-inc/mcp-server) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 5 tools. No publisher has claimed this listing.

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C
Emerging
74/100

Perceptron Vision MCP Server

A vision MCP server that gives MCP-compatible agents direct access to Perceptron's Isaac model family for visual question answering, captioning, OCR, and object detection over images and videos.

→ perceptron-ai-inc/mcp-server· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

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Who stands behind it

perceptron-ai-inc

Source: Glama

Is this your MCP?

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
✅
5 tools verified — handlers match their declared behaviour
5 read-only tools verified — handlers contain no write/delete/exec
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: PERCEPTRON_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes5 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

list_models

List available Perceptron models and their capabilities.

question

Ask a question about an image or video. Accepts a URL or local file path.

caption

Generate a caption for an image or video. Accepts a URL or local file path.

ocr

Extract text from an image using OCR. Accepts a URL or local file path.

detect

Detect objects in an image or video. Accepts a URL or local file path.

// 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.
🔐 secretPERCEPTRON_API_KEYYour Perceptron API key
configPERCEPTRON_BASE_URLVerify your API key is valid and that you can reach https://api.perceptron.inc. If you need a custom endpoint, set .
// quality suggestions

All four hints declared on every tool

5/5 tools missing one or more hints — list_models (missing: destructiveHint, idempotentHint, openWorldHint); question (missing: destructiveHint, idempotentHint, openWorldHint); caption (missing: destructiveHint, idempotentHint, openWorldHint), +2 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

4/5 tool handlers declare input schemas (80%)

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

Tool handlers catch errors

Only 0/5 tool handlers wrap calls in try/catch (0%)

Wrap each tool handler body in try/catch and return a structured error response.

Tool test coverage

Only 0/5 tools referenced in tests (0%)

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

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 4 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 Score](https://m8ven.ai/badge/mcp/perceptron-ai-inc/mcp-server)](https://m8ven.ai/mcp/perceptron-ai-inc/mcp-server)
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commit: ac0b19e0dba77d4c5f4acdcffc2c93ab86b8cc2e
code hash: bd38bc8ad8b2ea31994c8a08c2b5226da548c30c8cfbb3d30eb630cd3405681f
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