fastcar-vision (williamDazhangyu/-fastcar-mcp-vision-tools) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: there is no public source to read and no endpoint we can reach, so there is nothing for us to inspect. No publisher has claimed this listing.

C
Emerging
74/100
15 days ago

fastcar-vision

Provides vision understanding capabilities such as image analysis, OCR, object localization, and video frame analysis, plus optional image generation and editing, to coding agents via OpenAI-compatible multimodal models. Runs as a local MCP server with HTTP and stdio transports, configurable for clients like Codex, Claude Code, Kimi, and Cursor.

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

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

williamDazhangyu

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
9 tools verified — handlers match their declared behaviour
6 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.
// 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.
configMCP_VISION_CONFIG~/.mcp-vision-tools.json 视觉配置文件
configMCP_VISION_IMAGE_CONFIG~/.mcp-vision-tools.images.json 生图配置文件
configTERM
// quality suggestions

All four hints declared on every tool

6/9 tools missing one or more hints — analyze_image (missing: destructiveHint, idempotentHint); analyze_video (missing: destructiveHint, idempotentHint); list_vision_models (missing: destructiveHint, idempotentHint), +3 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

Only 2/9 tool handlers declare input schemas (22%)

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

Tool handlers catch errors

Only 2/9 tool handlers wrap calls in try/catch (22%)

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

License file

No license file

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

Tests exist

No test files found

Add tests that exercise each declared tool.

Shell command execution

2 child_process/subprocess calls in production code — runs shell commands (src/daemon.ts:242, src/media/video.ts:54)

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

No arbitrary install scripts

Has postinstall/preinstall script — runs arbitrary code on npm install

Remove postinstall/preinstall hooks unless they’re essential.

Domain consistency

npm scope @fastcar doesn't match GitHub owner williamdazhangyu

Use the same org name across GitHub, npm, and your homepage so users can verify the publisher.

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 8 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/williamdazhangyu-fastcar-mcp-vision-tools-1mffg1)](https://m8ven.ai/mcp/williamdazhangyu-fastcar-mcp-vision-tools-1mffg1)
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commit: ed2eed564cb8e86ec9161adfda0ee8b96068386e
code hash: a7bc7f9c2ea4d38955bbe393705ff5010e0801875a77aaa6a2a6f1175b4c98ef
verified: 8/11/2026, 7:29:36 AM
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