AGENTS.md Generator
PYPI · AGENTS-MD-GENERATOR · SCANNED SEP 20
Analyzes codebases with tree-sitter and generates AGENTS.md files for AI coding agents.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 1 of 39 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 5 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability83
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 564 tokens (~188/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management90
- Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the AGENTS.md Generator MCP server?
AGENTS.md Generator runs locally as a PyPI package, launched with uvx agents-md-generator. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · agents-md-generator
claude mcp add nushey-agents-md-generator -- uvx agents-md-generator
{
"mcpServers": {
"nushey-agents-md-generator": {
"command": "uvx",
"args": [
"agents-md-generator"
]
}
}
} {
"servers": {
"nushey-agents-md-generator": {
"command": "uvx",
"args": [
"agents-md-generator"
]
}
}
} codex mcp add nushey-agents-md-generator -- uvx agents-md-generator
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"nushey-agents-md-generator": {
"type": "local",
"command": [
"uvx",
"agents-md-generator"
],
"enabled": true
}
}
} openclaw mcp add nushey-agents-md-generator --command uvx --arg agents-md-generator
mcp_servers:
nushey-agents-md-generator:
command: "uvx"
args: ["agents-md-generator"] {
"McpServers": {
"nushey-agents-md-generator": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"agents-md-generator"
]
}
}
} assistant mcp add nushey-agents-md-generator -t stdio -c uvx -a agents-md-generator
{
"mcpServers": {
"nushey-agents-md-generator": {
"command": "uvx",
"args": [
"agents-md-generator"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 19 Sept 26 +1
- Security disclosure: unverified → fail ▼ functional
- 18 Sept 26 0
- Security disclosure: fail → unverified ▼ functional
- 17 Sept 26 −3
- Stability: pass → 0.80 functional
- 16 Sept 26 +1
- Stability: 0.97 → pass security
- 15 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- 14 Sept 26 −14
- Malware scan: pass → unverified ▼ security
- Security disclosure: fail → unverified ▼ functional
- Package version: 0.6.0 → 0.6.1 functional
- 12 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 −3
- Stability: pass → 0.83 functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Analysed pypi/agents-md-generator@0.6.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 39 packages
| Packages resolved | 39 |
|---|---|
| Stale | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
generate_agents_md ~182
Orchestrate the full AGENTS.md creation or update workflow. Determines whether to create or update AGENTS.md by checking if the file already exists. Returns writing rules, the existing content (if any), and step-by-step instructions to scan the codebase and produce the final file. Use this tool whenever the user asks to generate, create, update, or refresh AGENTS.md. For general codebase context without AGENTS.md generation, use scan_codebase + read_payload_chunk directly. Args: params (GenerateAgentsMdInput): Input parameters containing: - project_path (str): Path to the project root (default: ".") Returns: str: JSON with agents_md_path, agents_md_rules, existing_agents_md (if any), and step-by-step instructions for the agent to follow.
| Name | Type | Req | Description |
|---|---|---|---|
| params | – | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
read_payload_chunk ~176
Read a chunk of the analysis payload produced by scan_codebase. Call this tool repeatedly starting at chunk_index=0, incrementing by 1 each time, until the response contains has_more=false. Concatenate all 'data' fields in order to reconstruct the full payload JSON. The payload file is automatically deleted after the last chunk is read. Args: params (ReadPayloadChunkInput): Input parameters containing: - project_path (str): Path to the project root (must match scan_codebase call). - chunk_index (int): Zero-based index of the chunk to retrieve. Returns: str: JSON with fields: chunk_index, total_chunks, has_more (bool), data (str). On the last chunk (has_more=false), the payload file is deleted from disk.
| Name | Type | Req | Description |
|---|---|---|---|
| params | – | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
scan_codebase ~206
Scan and analyze a codebase with tree-sitter, producing a structured context payload. Performs AST analysis, change detection, and caching. Writes the analysis payload to disk and returns instructions to retrieve it via read_payload_chunk. The payload contains pure architectural data — no AGENTS.md writing instructions. Use this tool when you need deep codebase understanding for any task (code review, refactoring, planning, Q&A). To generate or update AGENTS.md specifically, use generate_agents_md instead — it orchestrates the full workflow automatically. Supported languages: Python, C#, TypeScript, JavaScript, Go. Args: params (ScanCodebaseInput): Input parameters containing: - project_path (str): Path to the project root (default: ".") - force_full_scan (bool): Ignore cache and rescan everything (default: False). Returns: str: JSON with total_chunks and instructions to call read_payload_chunk.
| Name | Type | Req | Description |
|---|---|---|---|
| params | – | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
What is the AGENTS.md Generator MCP server?
AGENTS.md Generator is an MCP server listed in the public MCP registry as io.github.nushey/agents-md-generator. Analyzes codebases with tree-sitter and generates AGENTS.md files for AI coding agents. This page covers its PyPI package (agents-md-generator).
Is the AGENTS.md Generator MCP server safe to use?
AGENTS.md Generator scores 82 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the AGENTS.md Generator MCP server expose?
AGENTS.md Generator exposes 3 tools: scan_codebase, read_payload_chunk, generate_agents_md. Their descriptions and schemas cost roughly 564 tokens of context every time the server is loaded.
Is the AGENTS.md Generator MCP server still maintained?
AGENTS.md Generator is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the AGENTS.md Generator MCP server under?
AGENTS.md Generator declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.