agents-md-generator
MCP ServerFree`agents-md-generator` is an open-source Model Context Protocol (MCP) server that automatically generates and updates an AGENTS.md file for your project. By utilizing Tree-sitter for robust Abstract Syntax Tree (AST) analysis of your local codebase, it provides AI agents and LLMs with a fresh, up-to-
Capabilities2 decomposed
automated agents.md generation
Medium confidenceThis capability utilizes Tree-sitter for robust Abstract Syntax Tree (AST) analysis of the local codebase to automatically generate and update an AGENTS.md file. By parsing the code structure and logic, it ensures that the documentation reflects the current state of the project without any manual intervention. This zero-config approach eliminates stale documentation, providing AI agents with up-to-date context seamlessly.
Employs Tree-sitter for detailed AST analysis, allowing for accurate and context-aware documentation generation, unlike simpler regex-based tools.
More accurate and context-aware than traditional documentation generators that rely on static analysis.
real-time project context updates
Medium confidenceThis capability continuously monitors the local codebase for changes and updates the AGENTS.md file in real-time. By leveraging file system watchers, it detects modifications in the code and triggers the AST analysis to regenerate the documentation, ensuring that AI agents have the most current context available at all times.
Utilizes file system watchers for immediate updates, unlike batch processing tools that only update documentation on demand.
Provides immediate context updates, making it superior to tools that require manual refreshes.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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Agentseed – Generate Agents.md from a Codebase
npx agentseed initAGENTS.md (https://agents.md) is a standard file used by AI coding agents to understand a repo (stack, commands, conventions).Agentseed generates it directly from the codebase using static analysis. Optional LLM augmentation is supported by bringing your own API key.Extra
Agent Skills
Agent Skills
opensrc
Fetch source code for npm packages to give AI coding agents deeper context
CodeGPT: Chat & AI Agents
Easily Connect to Top AI Providers Using Their Official APIs in VSCode
Superagent
</details>
Mintlify
AI documentation platform — markdown to beautiful docs, AI search, API playground, analytics.
Best For
- ✓developers maintaining AI agent documentation
- ✓teams using AI agents in their projects
- ✓developers working in fast-paced environments
- ✓teams that frequently update their codebase
Known Limitations
- ⚠Requires a local codebase; does not support remote repositories directly
- ⚠May not handle complex project structures perfectly
- ⚠Real-time updates may introduce performance overhead on large projects
- ⚠Requires a stable file system to monitor changes effectively
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
Repository Details
About
`agents-md-generator` is an open-source Model Context Protocol (MCP) server that automatically generates and updates an AGENTS.md file for your project. By utilizing Tree-sitter for robust Abstract Syntax Tree (AST) analysis of your local codebase, it provides AI agents and LLMs with a fresh, up-to-date summary of your project's structure, logic, and intent. This zero-config, local utility eliminates the problem of stale documentation and guarantees that your AI agents always have the current context they need.
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