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Register, discover, and delegate tasks across agents via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agentkit-mesh" yet — see the docs or source repo.
Use agentkit-mesh to register an agent named "sql-report-agent" with the description "generates SQL from natural language and outputs weekly reports" at http://localhost:8080, and return the registration result.
Returns the agent’s registration status, identifier, or record for later discovery and delegation.
Use agentkit-mesh to search for agents related to "code review, unit testing, Python" and list their names, descriptions, and endpoints by relevance.
Returns a list of matching agents with high keyword relevance and their basic details.
First discover an agent suitable for "summarizing API error logs from the last 7 days and suggesting fixes," then delegate the task to it via agentkit-mesh and return a summary of the result.
Returns the selected agent, whether delegation succeeded, and a summary of the task result or response.
Manage AgentKit control-plane tasks through its CLI and MCP server.
Build effective AI agents with MCP and simple workflow patterns.
Route messages between agents via Redis streams with send, receive, and ping tools.
Connect AI agents to multiple APIs through one unified MCP gateway.
Delegate and coordinate multi-agent tasks to automate complex workflows efficiently.
Enable AI agents to communicate, route messages, and collaborate through MCP.