io.github.nushey/agents-md-generator

MCPcommunity
v0.5.3io.github.nusheyUnknownUpdated 3mo agoGitHub

Analyzes codebases with tree-sitter and generates AGENTS.md files for AI coding agents.

MCP server that analyzes codebases with tree-sitter and generates files. Compatible with any MCP-capable client: Claude Code, Gemini CLI, Cursor, Windsurf, and others. How it works: The server exposes three tools with a clear separation of concerns. is the main entry point — it runs the analysis pipeline internally, embeds writing rules into the payload, and returns chunked read instructions to…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
3mo agoLast update
Package
Authorio.github.nushey
LicenseUnknown
Version0.5.3
Sourcemcp-registry
GitHubnushey/agents-md-generator
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.5.3 · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

MCP server that analyzes codebases with tree-sitter and generates files. Compatible with any MCP-capable client: Claude Code, Gemini CLI, Cursor, Windsurf, and others. How it works: The server exposes three tools with a clear separation of concerns. is the main entry point — it runs the analysis pipeline internally, embeds writing rules into the payload, and returns chunked read instructions to your client. is a standalone context tool for when you want deep codebase understanding without…

Keywords
mcp