"Delta" matching MCP servers:

Enables AI coding agents to efficiently query code context via a symbol graph, reducing token usage by up to 20x.

Enables independent, read-only adversarial review of candidate test cases and bug findings, returning a review delta that authoring agents reconcile before writing final artifacts.

Provides coding agents with read-only MCP tools to search Python repositories, retrieve size-bounded cited source context, analyze dependency impact, and check index status—all via local incremental AST indexing and BM25 retrieval.

Enables AI coding agents to search indexed local Git repositories for compatible existing projects and modules, evaluate their technical and structural fit, and copy reusable source bytes into a new target instead of regenerating them. It exposes six scoped MCP tools that return plans and safe file operations, so the agent only implements the remaining delta.

Deterministic code-churn measurement and AI-agent detection from the CodeDelta engine: measure churn between two directories or git refs, scan for code that runs AI agents, and get AI-authorship pointers. Runs fully locally.