Best Finding AI Skills & MCP Servers

Multi-source research — collect info from multiple files/sources, synthesize findings, validate consistency.

CLI-first infrastructure intelligence platform — analyzes DynamoDB, PostgreSQL, MySQL, MongoDB, SQS, SNS, SSM, Secrets Manager, Lambda, CloudWatch Logs and exposes findings as an MCP server for Claude Code

MCP server for security scanning — structured Trivy, Semgrep, and Gitleaks findings for AI agents

dwic — the design auditor for Claude Code. MCP server that audits your design tokens + markup for WCAG contrast failures, mandated-accent drift, and structural gaps, then remembers findings across sessions.

Security scanner for AI agent tools. Local static scan of MCP IDE configs (41 rules, toxic flow heuristics, AAuth visibility, auto-fix, tool pinning). Optional proxy + in-browser dashboard: traffic, findings, AAuth Explorer, YARA, Playground. Smart Scan o

MCP server for Wiz cloud security platform — query vulnerability findings by repo and severity

Typescape MCP server for review, finding, and rules workflows in external agent harnesses

CodeAtlas MCP server — 40 tools + 8 resources that expose live codebase architecture (routes, sequences, diffs, impact analysis, architecture violations, read-only SQL access) and AI-driven code review (per-entry-point review, evidence-gated findings, cus

Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm. Preflight validates your server's actual artifacts — `server.json`, `package.json`, `smithery.yaml` — against the documented requirements of each directory. Every finding includes the evidence fo