Ai Validation
Hook your coding agent up to independent checks on AI-written code for test bias, missed edge cases, and coverage holes before you ship.
Overview
io.github.ZUHcYa/ai-validation is an MCP server for the Ship phase that helps agents independently validate AI-generated code for test bias, edge cases, and coverage gaps.
What is this MCP server?
- stdio MCP server (npm package ai-validation-mcp) for local agent wiring
- Focuses on test bias, edge cases, and coverage gaps in AI-assisted code
- Independent validation layer separate from the model that wrote the code
- Version 0.1.2 with GitHub source at ZUHcYa/ai-validation-mcp
- Fits Claude Code and Cursor workflows that already use MCP stdio servers
- Server version 0.1.2
- Transport: stdio
- npm identifier: ai-validation-mcp
What problem does it solve?
You ship agent-written code fast but cannot tell if tests are skewed, edge cases are missing, or coverage lies about real risk.
Who is it for?
Solo builders using Claude Code or Cursor who generate large diffs with AI and want MCP-native validation without standing up a full QA platform.
Skip if: Teams that need certified security audits, compliance sign-off, or a hosted CI dashboard with no local MCP setup.
What do I get? / Deliverables
Your agent can run structured validation passes and surface bias and gap findings before you merge or deploy.
- Agent-callable validation signals on bias, edge cases, and coverage
- Repeatable pre-merge checks on AI-generated patches
- Local stdio MCP integration without a separate web console
Recommended MCP Servers
Journey fit
Canonical shelf is Ship because the server’s purpose is validation and quality gates on generated code right before release, not greenfield feature work. Testing is the natural home for bias, edge-case, and coverage-gap analysis that complements your own test suite.
How it compares
MCP validation tooling for AI-written code, not a standalone agent skill or hosted test runner UI.
Common Questions / FAQ
Who is io.github.ZUHcYa/ai-validation for?
Indie and solo developers who rely on AI coding agents and want an MCP-connected checker for test bias, edge cases, and coverage gaps on generated code.
When should I use io.github.ZUHcYa/ai-validation?
Use it in the Ship phase when you are reviewing or merging AI-assisted changes and want validation signals before release.
How do I add io.github.ZUHcYa/ai-validation to my agent?
Register the npm stdio server ai-validation-mcp (v0.1.2) in your client’s MCP config per the Model Context Protocol registry entry, then restart Claude Code, Cursor, or another stdio-capable agent.