A local MCP server for AI coding agents that builds a queryable knowledge graph of files and symbols, enforces edit scope before file writes, and records append-only reasoning logs to explain changes.
MCP server that intercepts and controls AI agent actions in your codebase by enforcing policies on file operations and commands, with logging, approval workflows, and rollback capabilities.
MCP server that enforces deterministic policies for coding agents, inspecting file writes and shell commands to allow, deny, or require confirmation based on configurable rules.
A filesystem-based MCP server for AI coding agents to coordinate work across git worktrees by claiming files, checking for conflicts, and logging progress without affecting the repository's git history.
An MCP server that enforces hard quality gates on AI coding agents, including forced web search, planning, and empirical test execution, to prevent common failure modes and ensure production-grade code.