MeshKore

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

使うべきか

品質と安全性

A
説明の品質
100%
スキーマの完全性
97%
命名の品質
100%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~648トークン数(ツール定義)
~1.2 KB一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 0.51%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

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

リモートエンドポイント

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

できること

ツール一覧

ツール(3)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟡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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

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

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