"Collaboration Between Multiple AIs via MCP (Master Control Program)" matching MCP servers:

Self-hosted Linux server control integration that lets remote MCP clients authenticate through persistent OAuth and invoke file, patch, command, terminal, Git, and image tools. Clients can also subscribe to targeted, signed event notifications for experimental event-driven workflows.

A production-ready MCP server for triaging and reviewing GitHub pull requests via the GitHub REST API, providing typed tools to list, inspect, comment, add labels, and submit reviews.

A version management server for MCP skills that enables automated update detection, parallel version testing, and smart merging of custom modifications with official updates. It allows users to safely switch, rollback, and manage local skill versions through a standardized suite of MCP tools.

Enables safe, human-in-the-loop AI document collaboration by letting agents create isolated workspaces, edit tracked files, open reviewable Change Requests, and get human approval before merging, with Git-backed conflict detection and resolution.

Enables managing technical specifications with version control, search, and comparison features, deployed as a secure Auth0-authenticated Cloudflare Worker.

Enables coding agents to inspect projects, claim worktrees, and move or start dev servers without changing ports, while coordinating with human-owned locks.

A server implementation that provides a unified interface for OpenAI services, Git repository analysis, and local filesystem operations through REST API endpoints.

Provides secure, controlled access to GitHub operations through the Model Context Protocol with enterprise-grade security features including secret detection, vulnerability scanning, rate limiting, and full audit trails. Supports repository management, file operations, branch creation, commits, and GitHub Actions workflows.

Enables comprehensive directory analysis and file management operations including project structure exploration, intelligent file search, full CRUD operations on files and directories, batch operations with rollback capabilities, and Git integration.

Connects AI IDEs and coding agents to the local cm CLI through a fixed allowlist of documented source-control commands. Enables safe inspection of workspace status, history, diffs, branches, labels, locks, and merge previews, plus guarded checkins, checkouts, branch/label creation, and merges with readonly mode by default.

Enables existing Codex desktop chats to coordinate event-driven Azure DevOps pull request reviews, exchange peer messages, and prepare bounded external actions that require explicit human approval.

Enables AI agents to discover GitHub repositories by expanding intents into multiple keyword queries, searching GitHub's live Search API, and returning deduplicated, ranked candidates with README excerpts and metadata.

Enables multiple AI agents to collaborate on the same git repository by coordinating work via a shared claims branch, detecting file conflicts before they happen.

Provides MCP tools to get a single-call snapshot of git and GitHub Actions CI status across all repositories in a folder, flag missing or stale architecture docs, write doc files, and detect release drift between source and release repositories.

A local MCP server that provides a safe, explicit set of Git operations for version control tasks like status, diff, branching, staging, committing, fetching, merging, and pushing.

Scan codebases for LLM API calls and estimate monthly costs. Compare costs between git refs to catch cost regressions during code review.

Combines GitHub releases from multiple repositories into a single product release note, with context sources for LLM synthesis.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, providing capabilities for work item management, project management, and team collaboration through natural language.

Enables generating conventional-commit–grouped release notes and CHANGELOG.md drafts from a local repository's git log between tags or commits, plus grouping commits by type. Reads only local git history via an MCP client such as Cursor or Claude Desktop.

Quilt gives every AI agent line-level authorship in a shared Git checkout, so multiple agents work in one repo, and each commits only its own lines, with symbol-level claims that block collisions before any bytes change.