Git Commit Video Walkthrough Generator
Generates narrated video walkthroughs of git commits, staged/unstaged changes, or entire codebases with AI-powered analysis, syntax-highlighted code visualization, and text-to-speech narration.
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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tomatitito
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.
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.
generate_walkthroughGenerate a video walkthrough of git commits, changes, or codebase. This tool orchestrates an agent to analyze code and create narrated video content. Requires MCP sampling support.
generate_scriptGenerate analysis and script for a walkthrough video without creating the video. Use this when you want to review or edit the script before generating the video, or when you just want the script content. Requires MCP sampling support.
prepare_analysis_promptSTEP 1 for clients without sampling: Extract git/code data and return a formatted prompt for an LLM to analyze. Copy the returned prompt to your LLM to get the analysis JSON.
prepare_script_promptSTEP 2 for clients without sampling: Take analysis JSON from step 1 and return a formatted prompt for generating the video script. Copy the returned prompt to your LLM to get the script JSON.
generate_video_from_scriptSTEP 3 for clients without sampling: Generate a video from analysis and script JSON. Use this after completing steps 1 and 2, or provide your own analysis and script JSON.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
axios Vulnerable to Full Man-in-the-Middle via Prototype Pollution Gadget in `config.proxy`
axios Vulnerable to Credential Theft and Response Hijacking via Prototype Pollution Gadget in Config Merge
Axios is Vulnerable to Denial of Service via __proto__ Key in mergeConfig
Axios: Header Injection via Prototype Pollution
Dependencies
7 runtime dependencies (2 dev), 1 flagged: puppeteer
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
5/5 tools missing one or more hints — generate_walkthrough (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); generate_script (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); prepare_analysis_prompt (missing: readOnlyHint, 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.
License file
No license file
Add a LICENSE file (MIT, Apache-2.0, etc.).
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.
Production dependencies are patched
0 critical, 13 high severity in production deps — @modelcontextprotocol/sdk@0.5.0 (high), axios@1.12.2 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
Dependency freshness
1/7 production deps stale: say@2022-06-26 (4.2y)
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