"Understanding Inference Models" matching MCP connectors:

CarrickAOAuth

io.github.carrick-tools

Coding agents in multi-service codebases routinely rebuild existing helpers, trust stale type definitions, and modify API contracts without knowing who consumes them. Carrick solves this by indexing your entire TypeScript ecosystem across service and repository boundaries. By integrating deeply with the TypeScript compiler, Carrick traces every route, type, and cross-service call while recording function behaviour so agents search by intent rather than name. Delivered via MCP for AI agents and LSP for IDEs, Carrick ensures models see existing endpoints and utilities before generating new code. The scanner is source-available and runs from your CLI or CI pipeline.

Guardian agent for AI coding: four frontier models review risky diffs and commits before they ship.

Repository knowledge graph MCP server for codebase understanding and debugging.

Multi-model code review: a panel of models + detectors return a pass/fail verdict. Paid via x402.

council-ai

io.github.omarkeshk

Multi-LLM council: 25+ frontier models in parallel, consensus scoring, verdict-first code review.

Security reviews, threat models over a repo or website, and remediation tracking, in your editor.

Code review by AI models from different companies, usually two. Shows where they agree and disagree.

Audits MCP tool definitions for patterns that make models call tools wrong or mis-fill args.

MCP server for understanding Javascript internals from ECMAScript specification.