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

A multi-agent collaborative development bridge that enables TRAE Work to offload complex tasks to Codex executor, with tools for task submission, status tracking, artifact listing, and permission management.

Enables multi-agent code review and iterative improvement loop using different LLM backends, with deterministic scoring and audit trail.

Connects AI coding agents to the SkillsMP marketplace, allowing users to search, read, and install over 8,000 community-made skills. It enables agents to gain new capabilities either through on-the-spot instruction or permanent installation without requiring an API key.

Enables MCP clients to drive Codex Desktop and codex-app-server through durable asynchronous operations for long-running tasks, with polling, approvals, Plan Mode workflows, retry-safe submission, and structured final reports.

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 users to submit long-running Codex Desktop tasks and workflows asynchronously, poll their status, handle approvals or plans, recover from restarts, and retrieve final reports and diagnostics.

Enables MCP clients and local orchestrators to run long-running Codex Desktop tasks as durable asynchronous operations, poll status, handle approvals and Plan Mode workflows, and retrieve final reports, diagnostics, and thread/turn details.

Enables MCP clients to drive Codex Desktop as a durable asynchronous worker for long-running tasks, including submitting operations or workflows, polling status, managing approvals and Plan Mode, and reading final reports. It also provides retry safety, duplicate-prompt protection, restart recovery, and diagnostics for reliable local automation.

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.

Provides expert guidance for Harmony 2.0 development through Gemini AI, enabling code analysis, generation, and architectural assistance for building applications following Harmony 2.0 patterns and best practices.

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

Enables Claude Code to use GLM (Zhipu) as a cheap, full-capability subagent for file editing, code generation, and bash commands, with automatic routing between Opus and GLM based on task complexity.

Provides MCP tools to create, run commands in, checkpoint, and delete durable cloud environments, giving coding agents persistent state between calls.

Two AIs. One answer. ChatGPT and Claude discuss with each other until they agree, through your own signed-in CLIs: no API keys. Both read your project (never change it) and search the web. Plugin for Claude Code, Codex, Claude Desktop and the ChatGPT app.