"Loop" matching MCP servers:

MCP server that inspects older repos, identifies stale guidance, and installs a managed foundation for better Copilot work including instructions, objectives, specialist agents, and insights.

Enables human-in-the-loop AI development where Trello tickets drive analysis, implementation, commits, and board sync in Cursor.

Enables Claude Code sessions to wait for a durable, exact-head GitHub pull-request review and continue the same review/fix/push loop without polling, using Supabase durable state and Realtime wake-ups via ordinary stdio MCP.

Decentralized Git with on-chain governance, bounties, and DAOs. Tools for repos, issues, PRs, labels, releases, bounties, and DAO proposals. Auto-wallet on first use, trust tiers, and approval mode for human-in-the-loop.

Enables autonomous triage of GitHub issues and pull requests through MCP, with classification, deduplication, prioritization, and safe human-in-the-loop actions.

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.

MCP server for managing an autonomous dev loop from chat—onboarding, connecting GitHub, and converting plain-English requests into tested, merged pull requests.

Agent-side MCP server for the zhupi review loop, enabling AI agents to submit documents, read annotations, and reply via GitHub.

A git-native decision journal that uses a local LLM to infer and store the rationale behind code changes, providing MCP tools for AI coding tools to query commit history.

Turns a shared GitHub repository into a message bus so that agents and their subagents on two different machines can converse in parallel: an issue is a thread, a comment is a reply, and closing it is an acknowledgement. Provides zero-dependency tools for sending addressed or broadcast messages, incrementally polling an inbox with a per-identity cursor, reading and replying within threads, and closing the loop with an ack.

Enables AI agents to investigate incidents by safely querying PostgreSQL, triaging GitHub issues, retrieving ERP order data, and sending Slack alerts, with AST-validated SQL and human-in-the-loop safeguards.

A Model Context Protocol (MCP) server for coordinating work between multiple AI agents in monorepos and shared codebases using a simple file-based signaling system or Discord thread chat.