littleorange-video-mcp (littleorange-ai/littleorange-video-mcp) 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.

Back to MCP Trust Indexm8ven
C
Emerging
74/100
13 days ago

littleorange-video-mcp

LittleOrange Video MCP 官方文档 LittleOrange Video MCP 是一款基于 Model Context Protocol \(MCP\) 开源标准的服务端工具，专为 AI 应用打造，提供统一、标准化的视频生成 API 调用能力。

→ littleorange-ai/littleorange-video-mcp· listed on modelscope

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

littleorange-ai

Source: modelscope

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 →

⚡ Connect GitHub for Live Monitored

Install from

modelscope

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 1 credential: LITTLEORANGE_API_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.
configLITTLEORANGE_CATALOG_FORCE_REFRESH强制刷新接口目录（1=每次都从Apifox拉取） 0 ❌ 否
configLITTLEORANGE_CATALOG_LOG_FILE目录刷新日志本地存储路径 无 ❌ 否
configLITTLEORANGE_CATALOG_CACHE_FILE接口目录缓存文件路径 系统缓存目录 ❌ 否
configXDG_CACHE_HOME
configLITTLEORANGE_CATALOG_AUTO_UPDATE接口目录自动更新开关（0关闭/1开启） 1 ❌ 否
configLITTLEORANGE_CATALOG_REFRESH_SECONDS接口目录缓存刷新间隔（秒）；设为0表示每次都检查官方文档 3600 ❌ 否
🔐 secretLITTLEORANGE_API_KEY"": "sk-你的key",
// 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 — call_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); dynamic_tool_116 (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); dynamic_tool_126 (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.

License file

No license file

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

Tool test coverage

7/10 tools referenced in tests (70%)

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/littleorange-ai-littleorange-video-mcp-1v3wuo)](https://m8ven.ai/mcp/littleorange-ai-littleorange-video-mcp-1v3wuo)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: d375a4b36ec0d53047ba99da783143409e36a9b5
code hash: 4664b9b60303d0f03aca1e09a3f89b4737988acf3f9c5cf2fc8a698558096015
verified: 8/13/2026, 9:03:22 PM
view raw JSON →
Check MCPs from inside your assistant
Tool Check · MCP

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.

https://m8ven.ai/api/mcp/tool-check
check_toolsearch_toolscompare_toolsrecommend_alternativescheck_publisherreport_concern
How to add it →Free · no account needed · works in any MCP client