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Enable local message routing and coordination between AI coding agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-dispatch" yet — see the docs or source repo.
Use mcp-dispatch to relay messages through the local filesystem so a code-generation agent can delegate work to a testing agent and a review agent, then collect their results.
A coordinated workflow with task dispatching, result returns, and consolidated outputs across agents.
Using mcp-dispatch, design a local communication scheme where AI coding agents send and receive messages through a shared directory, including message format, polling strategy, and retry behavior.
A practical design for a shared-directory local messaging channel between agents.
Use mcp-dispatch to investigate message loss between multiple local AI coding agents, identify likely causes, and recommend logging, retries, and state tracking improvements.
A diagnosis of message-loss causes and actionable reliability improvements.
Coordinate AI coding agents with identities, inboxes, thread search, and file leases.
Reliably relay jobs between agents and wake Claude when work completes.
Coordinate coding agents with mail-style messaging, thread search, and file reservation.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Enable AI agents to communicate, route messages, and collaborate through MCP.
Stream real-time agent plans, progress, tool calls, and results locally.