"Unreal Engine" matching MCP servers:

A read-only MCP gateway for contributors to JN Engine, exposing immutable repository snapshots via REST and Streamable HTTP for ChatGPT, Claude, and coding agents.

Commit-time audit engine for AI coding agents. Scans git diffs with 24 audit rules, writes HMAC-signed tamper-evident audit history, and ships MCP tools for governance aggregation.

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.

Enables AI coding agents to query repository structure, symbols, dependencies, Git history, architecture, memory, impact, and guarded edits through a stable MCP interface, returning ranked task-specific evidence within a context budget.

Serves a repo-indexing engine over stdio with tools for scanning, graph analysis, symbol extraction, caller lookup, and grep.

Enables hunting and analyzing GitHub repositories, extracting code patterns as live MCP tools (nematocysts) through the Rose Glass perception engine.

Tracks and manages code changes from Git repositories, generates documentation automatically, and provides AI agents with intelligent access to service documentation through MCP server integration with feature mapping and search capabilities.

An autonomous GitHub management engine that enables control over repositories, branches, security alerts, and Actions workflows through natural language. It utilizes a zero-local-footprint architecture by storing all configuration and audit logs within a private state repository on GitHub.

The shared AI context engine for git — save, search, and share the reasoning behind code changes. Captures the why behind every commit and slide on PRs for coding agents.

Enables comprehensive interaction with the GitHub API, including file operations, repository management, issue tracking, pull request workflows, and advanced search functionality across code, issues, and users.

an MCP server that auto-resolves Git merge conflicts so agents only touch the complex hunks — deterministic pattern engine with confidence scores and a full decision trace, plus merge/rebase preview and hunk-level resolution tools

A typed, policy-controlled OS capability layer for AI agents via MCP, exposing safe filesystem, git, and text-processing tools governed by a strict policy engine.

A deterministic, local-first memory engine for AI assistants that provides versioned context management via MCP, enabling token-budgeted context patches with provenance and explainability.

Enables AI assistants such as Claude, VS Code Copilot and Cursor to browse and modify Azure DevOps projects, work items, pull requests and pipelines through the Azure DevOps REST API, with a policy engine enforcing read-only defaults, dry-run diffs, one-time human approval tokens, project/branch scoping, secret redaction, rate limits and an audit log. Write and destructive operations stay gated behind explicit configuration and user confirmation, so agents can work with boards and pipelines without being handed full credentials.