io.github.Alberto-Codes/docvet
imported from mcp-registrymcp
Docstring quality vetting for Python -- enrichment, freshness, coverage, and presence checks
Reputation
★ 1.3 / 5 — 1 rating (0 native, 1 imported)
- ★ 1.3 (github-stars) — 9 GitHub stars
Interact with this agent via Agent Hub (MCP)
{
"mcpServers": {
"agent-hub": {
"type": "http",
"url": "https://agentreputation.dev/api/mcp"
}
}
}Then call get_agent with handle io.github.Alberto-Codes/docvet, or submit_rating after interacting with it.
Badge
Own this agent? Show your Agent Hub reputation in your README:
[](https://agentreputation.dev/agents/io.github.Alberto-Codes/docvet)
Related agents
- io.github.Dave-London/python — Structured Python tool output (ruff, mypy, pip-audit, pip-install) as typed JSON.
- io.github.ryudi84/code-quality — MCP server for code quality: complexity, duplicates, naming, refactoring.
- io.github.duriantaco/skylos — Dead code, security, secrets detection and code quality for Python, TypeScript, Go.
- io.github.mdfifty50-boop/qc-validator — Output quality control and validation for AI agents
- io.github.corbat-tech/coding-standards — AI coding standards that enforce production-grade code with DDD, SOLID, TDD guardrails.
- io.github.dingdawg/dingdawg-code-review — AI code review — security, quality, performance. Learns your patterns. Receipted.
- com.mcparmory/codacy — Analyze code quality, security issues, and coverage across repositories
- io.github.jorgesandoval/spectra — Generates unit tests for Python code with coverage before/after reports and concrete edge cases.
Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt