Server data from the Official MCP Registry
Audits MCP tool definitions for patterns that make models call tools wrong or mis-fill args.
Audits MCP tool definitions for patterns that make models call tools wrong or mis-fill args.
Remote endpoints: streamable-http: https://mcp-schema-audit-mcp.mcpize.run/mcp
Valid MCP server (3 strong, 3 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-tylerscomic-lab-mcp-schema-audit-mcp": {
"url": "https://mcp-schema-audit-mcp.mcpize.run/mcp"
}
}
}From the project's GitHub README.
An MCP server that audits other MCP tool definitions and marketplace listings for the specific patterns that make models call tools wrong, never call them, or mis-fill their parameters — vague descriptions, missing parameter docs, non-verb-first naming, oversized enums, deeply nested schemas — plus MCPize's own 500-character description limit, which fails at deploy time with no warning until you hit it.
Most tool-definition bugs don't throw errors. They just make a model call the wrong tool, or call the right tool with the wrong arguments, silently and intermittently. This scores every tool 0-100 and tells you exactly which line to fix.
Verb-first naming, parameter descriptions, and schema depth aren't cosmetic — they measurably change how reliably a model picks and fills a tool. This project encodes those patterns as an actual auditor instead of a blog post you have to remember to re-read every time you write a new tool.
audit_tool_definitionAudit a single tool (name, description, inputSchema). Returns a 0-100 friendliness score and a list of concrete issues, each with severity, why it matters, and the fix.
audit_tool_batchSame checks across an entire server's tool list, plus cross-tool checks: duplicate names, inconsistent naming convention (snake_case vs camelCase mixed in one server), and a worst-offenders summary.
check_marketplace_descriptionValidates a marketplace-facing short/long description against known platform limits — specifically catches MCPize's 500-character short-description cap before you burn a deploy attempt finding out the hard way.
Hosted (recommended, no setup): subscribe on MCPize — free tier included, $7/mo for higher limits.
Self-host:
npm install
node server.js
Exposes a Streamable HTTP MCP endpoint on :8080 (/mcp), health check at /health.
Built alongside three sibling correctness-audit tools for Claude Code / MCP builders: cron-schedule-audit-mcp (DST-correct cron validation), regex-safety-audit-mcp (ReDoS detection), and claude-cost-audit-mcp (exact Claude API cost + cache-economics calculator).
MIT
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.