"MobX-State-Tree" matching MCP servers:

Enables validation of commit messages, branch names, author info, push safety, and repository state using commit-check rules, accessible as MCP tools.

Audits coding agents' claimed actions against the actual Git working tree, blocking completion if any claimed changes are unverified.

Provides fresh project context to coding agents by combining Markdown documentation and live Git state, enabling deterministic startup briefs and bounded document retrieval for MCP-compatible tools.

Enables coding agents to access approved user stories and acceptance criteria via MCP, with tools to list, retrieve, update, and check story requirements against the working tree.

Provides AI agents with persistent, branch-aware context memory by storing summaries per Git branch and automatically enriching them with recent commits and divergence from main. Enables agents to maintain coherent state across sessions without mixing contexts from different branches.

Selects the minimum code context an LLM needs to understand a git diff: graph-based fragment selection under a token budget, deterministic output, 30+ tree-sitter languages.

MCP server that gives LLMs full visibility into your ws-cli workspace tree, enabling queries about workspaces, git status, tasks, and saved browser tabs.

Connects LLMs and AI agents directly to GitHub repositories, enabling repository inspection, file and tree exploration, code search, commit history, issues, pull requests, and releases for both public and private repos.

A token-efficient MCP server for exploring GitHub repositories using tree-sitter AST parsing to extract symbol signatures and summaries. It enables users to search and retrieve specific code components while significantly reducing token consumption compared to raw file dumps.

MCP server that spawns autonomous Claude Code agents in GitHub repos, enabling task delegation with persistent state, multi-step workflows, and job monitoring.

Enables safe filesystem and git operations confined within a single allowed directory tree, using symlink-resolved path containment to protect against path traversal. Users can read, write, list, and search files, as well as initialize repos and run status, stage, commit, diff, and log operations through MCP.

Provides AI coding agents with structured Git repository context including project state, code structure, activity, and risk analysis without modifying or uploading code.

Provides read-only, structured access to Yasin ecosystem information (project registry, documentation, GitHub state, diagnostics) through the MCP protocol, enabling AI agents to query without direct repository access.

Exposes git-quick-stats commands as MCP tools to analyze git repositories via natural language.

Enables management of co-authors for pair and mob programming sessions by automatically appending Co-authored-by trailers to git commit messages. It allows users to add, list, and configure team members as active co-authors using the git-mob CLI.

Manages AI agent workflows through a state machine and Git branches, enforcing isolated phases and audit trails via SPEC, PLAN, and AGENTS files.

Enables AI-assisted coding tools to checkpoint sessions, detect context drift, and restore an earlier state while preserving uncommitted work and generating a recovery handoff for an informed restart.

Enables precise code extraction from 30+ languages using tree-sitter parsing, allowing AI assistants to retrieve functions, classes, and code snippets with accurate line numbers.

Enables AI coding agents to checkpoint workspace state, branch parallel attempts, inspect diffs, and roll back to known-good states mid-task through MCP tools, with automatic safety checkpoints to prevent data loss.

An MCP server that bridges ChatGPT Web Pro to local tools, enabling file read/write, shell command execution, git operations, and search within a specified project directory.