"PostgreSQL MCP (Multi-Version Concurrency Control or specific usage)" matching MCP servers:

Transforms your IDE into an autonomous multi-agent coding assistant that orchestrates complex codebase refactoring using LangGraph and LiteLLM.

Orchestrates multiple AI agents (Product Manager, Software Architect, Engineer, QA, Reviewer) to collaboratively plan, design, implement, review, and improve software development projects via MCP tools.

Manages multiple AI CLI instances (Claude Code, Codex, Gemini, Cursor) in tmux sessions for parallel task execution, with optional git worktree support.

Enables MCP clients to submit long-running Codex Desktop tasks asynchronously, poll status, handle approvals and Plan Mode, and retrieve durable reports, diagnostics, and repair tools.

Enables MCP clients to drive long-running Codex Desktop work through durable asynchronous operations, polling, approvals, Plan Mode workflows, recovery, diagnostics, and local state without holding MCP calls open.

Turns Codex Desktop and codex-app-server into a durable asynchronous worker that MCP clients can submit long-running tasks and Plan Mode workflows to, receiving an operationId or workflowId immediately instead of holding a call open for hours. Enables retry-safe polling for status, approvals, questions, interrupts, code review, diagnostics, and final reports, with persisted SQLite state that survives client retries and server restarts.

Enables programmatic execution of coding tasks and autonomous file operations using Claude AI. It allows agents to search codebases, run shell commands, and track file changes through the Model Context Protocol.

Enables MCP clients to drive Codex Desktop as a durable async worker, submitting long-running tasks and Plan Mode workflows that return an operationId or workflowId immediately for polling, approval handling, and final report retrieval. Adds retry-safe submission, duplicate prompt protection, restart recovery, diagnostics, and a central worker mode for safe local orchestration.

Enables MCP clients and local orchestrators to drive Codex Desktop and codex-app-server as a durable async worker: submit tasks or Plan Mode workflows, immediately receive an operation or workflow ID, and poll for status, approvals, and final reports instead of holding long blocking calls. It adds retry-safe request IDs, duplicate-turn protection, SQLite-persisted state with leases and heartbeats for restart recovery, plus health checks, diagnostics, and repair tools.

Enables MCP clients to drive Codex Desktop and codex-app-server as a durable worker for long-running tasks by submitting work and receiving an operationId or workflowId immediately, then polling status, handling Plan Mode approvals and pending questions, and reading final reports without holding multi-hour MCP calls open.

Enables MCP clients to submit and monitor long-running desktop coding tasks through durable asynchronous operations, with plan approval, retry safety, diagnostics, and final report retrieval.

Enables end-to-end generation, scaffolding, testing, diagnosis, and auditing of Kotlin applications for Android, Compose Multiplatform, Ktor, and Spring Boot through a coordinated team of specialized agents.

Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.

Creates and manages multi-agent teams of AI coding assistants (Claude Code, Codex CLI) that collaborate in tmux terminal sessions. Enables a leader agent to assign sub-tasks to team members for coordinated development.

Enables users to generate complete, production-ready software projects from simple ideas by coordinating 8 specialized AI agents through the Model Context Protocol.

Enables ChatGPT to read local project facts and manage Codex Desktop tasks through the official Secure MCP Tunnel.

Allows users to manage multiple remote AI coding agents from a single Claude Code session, with a controlled execution model where operations require moderator approval.

An MCP server giving coding agents context-window-aware code search and safe, atomic multi-file edits — built to cut token usage on large codebases without sacrificing correctness.

A generic OpenAI-compatible subagent MCP server that lets Claude Code delegate coding grunt-work to a local model via a tool-calling agent loop, with configurable concurrency and backend.

Enables ChatGPT or other MCP clients to control native Codex sessions on Windows, providing tools for thread management, turns, observation, steering, and responding to approvals.