MCP Gemini Video Understanding (ugarchance/mcp-gemini-video-understanding) is an MCP server listed on the M8ven Trust Index. It scores 54 out of 100, grade D. It declares 6 tools. No publisher has claimed this listing.
An MCP server that uses Google's Gemini API to analyze videos and convert them to text descriptions that Claude Code can understand and act upon.
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.
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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.
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_modelsList all available Gemini models and show which one is currently selected
set_modelSelect which Gemini model to use for video analysis. This will be used for all subsequent analysis calls.
analyze_bug_videoAnalyze a video showing a bug or error and save the analysis to a text file
analyze_design_videoAnalyze a video showing a design mockup, UI sketch, or feature demonstration and save the analysis to a text file
analyze_tutorial_videoAnalyze a YouTube tutorial or educational video to extract key learnings and save the analysis to a text file
analyze_responsive_issuesAnalyze a video showing responsive design issues (layout breaks, mobile problems, etc.) and save the analysis to a text file
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
glob CLI: Command injection via -c/--cmd executes matches with shell:true
GEMINI_API_KEY## " environment variable is required"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
6/6 tools missing one or more hints — list_models (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); set_model (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); analyze_bug_video (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +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 1/6 tool handlers declare input schemas (17%)
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.).
Tests exist
No test files found
Add tests that exercise each declared tool.
Production dependencies are patched
0 critical, 4 high severity in production deps — @modelcontextprotocol/sdk@1.20.0 (high), @modelcontextprotocol/sdk@1.20.0 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
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