llm-vision-mcp (me9rez/llm-vision-mcp) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it yet. No publisher has claimed this listing.
Provides vision capabilities to text-only LLMs by analyzing image files via Qwen-VL and returning textual descriptions, with support for OCR, UI analysis, diagram/chart understanding, and code extraction through MCP stdio.
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.
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me9rez
Source: Glama
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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.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
Vitest: Path Traversal / Arbitrary File Read via @vitest/mocker Redirect Mock
API_KEY5. 令牌格式为 ms-xxxxxxxxxxxx,保留 ms- 前缀原样作为 使用BASE_URL支持任意 OpenAI 兼容的视觉模型供应商(默认 ModelScope 免费的通义千问VL,国内直连,每天 2000 次调用,单模型 500 次),可通过 / VISION_MODEL 切换MAX_TOKENS最大生成长度(正整数)TOOLS只启用部分工具(减少 agent 上下文占用)→ 见「工具白名单()」。VISION_MODEL支持任意 OpenAI 兼容的视觉模型供应商(默认 ModelScope 免费的通义千问VL,国内直连,每天 2000 次调用,单模型 500 次),可通过 BASE_URL / 切换[](https://m8ven.ai/mcp/me9rez/llm-vision-mcp)?variant=verified to the badge URL.Vetting this one by hand? Tool Check is an MCP that scores other MCPs. Add it once and ask Claude, ChatGPT, or any MCP client to grade a server, surface CVEs, check the publisher, and suggest safer alternatives — before you install.
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