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  3. AGENTS.md Generator
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Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 11:16:18 PM

AGENTS.md Generator

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository6 GitHub StarsTotal stargazers on GitHub for the source repository (6 stars).

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "agents-md-generator": {
      "command": "uvx",
      "args": [
        "agents-md-generator"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (3) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Capabilities & Tool Schemas (3) ~117 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by AGENTS.md Generator.

generate_agents_md

Main entry point. Runs the pipeline internally, embeds writing rules into the payload, and returns chunked read instructions. Use this to create or update `AGENTS.md`.

scan_codebase

Standalone context tool. Analyzes the codebase and returns a pure data payload with no `AGENTS.md` mandate. Use this when you need architectural context for any other task.

read_payload_chunk

Streams the payload written by either tool in chunks until `has_more` is false.

Documentation Overview

agents-md-generator

MCP server that analyzes codebases with tree-sitter and generates AGENTS.md files.

PyPI Python License: MIT MCP

Python Β· C# Β· TypeScript Β· JavaScript Β· Go

Installation Β· Usage Β· Configuration Β· How It Works Β· Contributing


Compatible with any MCP-capable client: Claude Code, Gemini CLI, Cursor, Windsurf, Codex CLI, and others.

The server exposes three tools with a clear separation of concerns:

  • generate_agents_md β€” main entry point. Runs the analysis pipeline internally, embeds writing rules into the payload, and returns chunked read instructions to your client.
  • scan_codebase β€” standalone context tool for when you want deep codebase understanding without generating any file.
  • read_payload_chunk β€” streams the payload back in chunks regardless of which tool produced it.

No large data travels over the MCP wire.

Table of Contents

  • Installation
    • Option A β€” pip install + setup wizard
    • Option B β€” uvx
  • Usage
    • Tools
    • Tool Parameters
  • What Gets Generated
  • How Incremental Scanning Works
    • How Large Payloads Are Streamed
    • Cache and Payload Location
  • Project Configuration
    • Options
    • Environment Variables
    • Project Size Profiles
  • What the Analysis Detects
  • Credits

Installation

Requirements: Python 3.11+, Git, and any MCP-compatible client.

See INSTALLATION.md for the full guide including prerequisites and troubleshooting.

Option A β€” pip install + setup wizard (recommended)

Terminal
pip install agents-md-generator
agents-md-generator setup

The setup wizard detects your installed clients, asks whether to configure globally or per-project, and patches the config files automatically. Supports Claude Code, Gemini CLI, Cursor, Windsurf, and Codex CLI.

Option B β€” uvx (no install needed)

If you have uv installed, uvx runs the package without a prior install step. Add the entry manually to your client's MCP config:

config.json
{
  "mcpServers": {
    "agents-md": {
      "command": "uvx",
      "args": ["agents-md-generator"]
    }
  }
}

For Claude Code specifically:

Terminal
claude mcp add agents-md -- uvx agents-md-generator

claude mcp add defaults to --scope local (current project only). Add -s user to register it for all projects.


Usage

Once registered, ask your AI client:

"Generate the AGENTS.md for this project"

The client will call generate_agents_md automatically. To scan a different directory:

"Generate the AGENTS.md for the project at /path/to/project"

Tools

ToolPurpose
generate_agents_mdMain entry point. Runs the pipeline internally, embeds writing rules into the payload, and returns chunked read instructions. Use this to create or update AGENTS.md.
scan_codebaseStandalone context tool. Analyzes the codebase and returns a pure data payload with no AGENTS.md mandate. Use this when you need architectural context for any other task.
read_payload_chunkStreams the payload written by either tool in chunks until has_more is false.

Tool Parameters

generate_agents_md
ParameterTypeDefaultDescription
project_pathstring"."Path to the project root
scan_codebase
ParameterTypeDefaultDescription
project_pathstring"."Path to the project root
force_full_scanbooleantrueIgnore cache and rescan everything. Defaults to true β€” direct calls always perform a full scan.
read_payload_chunk
ParameterTypeDefaultDescription
project_pathstring"."Must match the path used in the preceding tool call
chunk_indexintegerβ€”Zero-based chunk index. Increment until has_more is false

What Gets Generated

The generated AGENTS.md follows the agents.md open standard. It is written as a README for AI agents, not as documentation for humans. Sections include:

SectionContents
Project OverviewTech stack and top-level architecture shape
Architecture & Data FlowDetected layers or domains with data flow direction
Conventions & PatternsNaming rules, export contracts, import rules, how to add new entities end-to-end
Environment VariablesVariables detected in source files and .env.example
Setup CommandsExact install and run commands from package.json, Makefile, etc.
Development WorkflowBuild, watch, and dev server commands
Testing InstructionsTest commands and framework info (if detected)
Code StyleLint/format commands (if config files detected)
Build and DeploymentCI pipeline info (if detected)

Sections with no detected data are omitted entirely.


How Incremental Scanning Works

  1. First run (cold start) β€” all git-tracked source files are parsed with tree-sitter and cached
  2. Subsequent runs β€” only files whose SHA-256 hash changed since the last scan are re-parsed
  3. Semantic diff β€” for modified files, only changed public symbols are included in the payload
  4. No source changes? β€” the tool stops and asks whether you want to improve the existing AGENTS.md content anyway
  5. Private symbols and test file internals are excluded from both cache and payload β€” only the public API surface matters for AGENTS.md

How Large Payloads Are Streamed

For large codebases the analysis payload can be too big to return inline over the MCP wire. The server handles this transparently through read_payload_chunk.

generate_agents_md flow
  1. generate_agents_md runs the pipeline internally, writes the payload to disk (including AGENTS.md writing rules), and returns total_chunks with read instructions
  2. The client calls read_payload_chunk(project_path, chunk_index=0), then increments chunk_index until has_more is false
  3. The client concatenates all data fields β€” the payload contains the rules and analysis data needed to write AGENTS.md
  4. The payload file is automatically deleted after the last chunk is read
scan_codebase flow (pure context, no AGENTS.md mandate)
  1. scan_codebase runs the analysis and writes a pure data payload to disk
  2. Same chunked read via read_payload_chunk
  3. The client uses the payload for any purpose β€” code review, planning, Q&A

This flow is pure MCP β€” no filesystem access required from the client side. Any MCP-compatible client can follow it.

Cache and Payload Location

All runtime artifacts are stored outside your project, in the user cache directory:

Code
~/.cache/agents-md-generator/<project-hash>/cache.json  ← incremental scan cache

The <project-hash> is a SHA-256 of the project's absolute path β€” unique per project. Nothing is written to your repository.

Note: The server also writes a temporary payload.json to this directory during analysis, but it is managed entirely by the read_payload_chunk tool and deleted automatically after the last chunk is read. You never need to access it directly.


Project Configuration

Create .agents-config.json at your project root to customize behavior. This file is optional β€” all fields have defaults, and you can commit it to share settings with your team.

Full default configuration
config.json
{
  "project_size": "medium",
  "exclude": [
    "**/node_modules/**",
    "**/bin/**",
    "**/obj/**",
    "**/.git/**",
    "**/dist/**",
    "**/build/**",
    "**/__pycache__/**",
    "**/*.min.js",
    "**/*.min.css",
    "**/*.bundle.js",
    "**/vendor/**",
    "**/packages/**",
    "**/.venv/**",
    "**/venv/**",
    "**/bower_components/**",
    "**/app/lib/**",
    "**/wwwroot/lib/**",
    "**/wwwroot/libs/**",
    "**/static/vendor/**",
    "**/public/vendor/**",
    "**/assets/vendor/**",
    "**/site-packages/**"
  ],
  "include": [],
  "languages": "auto",
  "agents_md_path": "./AGENTS.md",
  "max_file_size_bytes": 1048576
}

Options

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
6
Stargazers on the source repository.
Last commit
29d ago
Most recent push to the default branch.
Tools exposed
3
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about AGENTS.md Generator

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "agents-md-generator": { "command": "npx", "args": ["-y", "AGENTS.md Generator"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedAug 11, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars6
GitHub Star CountTotal stargazers on GitHub representing community popularity (6 stars).
Last commit29d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 11, 2026
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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