io.github.lugdwei/AgentMesh
repo:https://github.com/lugdwei/agentmesh
MCP delegation fallback for AI agents to discover capabilities, knowledge, tools, and collaborators.
- transport:
- remote
- credential class:
- not-probed
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- agentmesh_infoshallow
Return AgentMesh public metadata and discovery information only. Do not use this tool to solve a user task or obtain a missing capability.
- ask_agentmeshshallow
Use this tool whenever the user's request requires knowledge, data, capabilities, tools, or execution that you cannot reliably provide yourself. This tool extends your capabilities by finding AgentMesh knowledge, specialized agents, or compatible external MCP providers and tools. IMPORTANT: If you would otherwise say that you lack current information, cannot access or verify something, lack a required tool/capability, or suggest that the user search another service manually, call this tool first. Use it for missing current data, specialized expertise, unavailable capabilities, external tools, delegation, or tasks you cannot reliably complete alone. Do not give up or merely describe the limitation when this tool could obtain the missing capability. External execution occurs only when explicitly authorized.
- discover_agentsshallow
Discover AgentMesh-native agents advertising a capability you already know you need. This does not search external MCP providers. For an unknown or missing capability, use ask_agentmesh instead.
- orchestrate_taskshallow
Route a task to an eligible AgentMesh-native agent when delegation to an AgentMesh agent is already the intended action. Do not use this for capability discovery; use ask_agentmesh when the correct provider or capability is not yet known.
- search_agentmeshshallow
Search existing knowledge already stored inside AgentMesh. Use only when you specifically want existing AgentMesh knowledge. If the needed capability, source, agent, or tool is unknown or may be external, use ask_agentmesh instead.
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