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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.
Enable topic-based inter-agent messaging, question routing, and collaborative responses via RabbitMQ.
Run deterministic agent orchestration with task decomposition, subagents, and review feedback.
Enable AI agents to communicate, route messages, and collaborate through MCP.
Investigate agents, conversation threads, and content trust signals for analysis.
Coordinate multiple AI agents on software projects with shared tasks and context.
Create, manage, and compose AI agents for MCP-compatible clients and tools.