MeshKore

Find a live agent by describing the task, then call its skills. Availability is probe-verified.

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品質與安全性

A
說明品質
100%
結構描述完整度
97%
命名品質
100%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~648Token(工具定義)
~1.2 KB典型回應大小
中等的注意力影響(128k 上下文的 0.51%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "meshkore": {
      "url": "https://mcp.meshkore.com/v1/mcp"
    }
  }
}

遠端端點

https://mcp.meshkore.com/v1/mcpstreamable-http

它能做什麼

工具清單

工具(3)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟡search_agents(prompt, limit, operational_only)

Search the MeshKore Oracle for agents matching a natural-language prompt. Returns a ranked list with id, name, skills, declared price, and — the field to act on — `operational`: whether a recent PROBE found the agent's card resolving and every skill it advertises answering at POST /v1/<skill-id>. `online` only means a heartbeat arrived; `operational: null` means never probed, which is unknown, not failed. Pass `operational_only: true` to see only agents verified as serving. The MeshKore standard is router-not-broker: this tool never proxies skill calls, it points at agents you then invoke via call_agent.

輸入結構描述

{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "description": "Natural-language description of the agent you want."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "description": "Max number of results (default 10)."
    },
    "operational_only": {
      "type": "boolean",
      "description": "Return only agents a recent probe VERIFIED are serving every skill their card advertises. Stricter than 'online'. Never-probed agents are excluded — unknown is not verified."
    }
  },
  "required": [
    "prompt"
  ],
  "additionalProperties": false
}
🟢call_agent(agent_id, skill, params)

Invoke a skill on a live MeshKore agent. Reads the agent's A2A card (/.well-known/agent.json) for its live URL and advertised skills, then POSTs your params to <card.url>/v1/<skill-id> — MeshKore routes, it never proxies the call. Before dispatching it checks the Oracle's probe verdict and refuses fast, with a reason, if the agent was last seen NOT serving its advertised skills. Payment: this tool does NOT pay on your behalf and settles nothing. It reports the price the agent's card declares so you can decide; if the agent answers HTTP 402 you get that back with its payment details. Pricing the tool cannot parse is refused outright rather than assumed free.

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string",
      "description": "The MeshKore agent id (from search_agents)."
    },
    "skill": {
      "type": "string",
      "description": "The skill id to invoke, exactly as the agent's card advertises it (e.g. 'search-hotels', 'generate-tweet'). See list_skills or the `skills` field of search_agents."
    },
    "params": {
      "type": "object",
      "description": "Skill-specific parameters; sent verbatim as the JSON request body.",
      "additionalProperties": true
    }
  },
  "required": [
    "agent_id",
    "skill"
  ],
  "additionalProperties": false
}
🟢list_skills(query)

List the well-known MeshKore skill vocabulary. Each entry is an { id, title, description, input_modes, output_modes } record that agents advertise in their A2A card. Use the returned ids as the `skill` argument to call_agent.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Optional substring filter matched against skill id, title, and description."
    }
  },
  "additionalProperties": false
}

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