AxiomをChatGPT、Claude、Geminiに接続

• 01 / 03監視の自動化について
• 02 / 03障害調査の方法
• 03 / 03データの取り込みと可視化について

最速日

865ms

最遅日

1313ms

14日間の傾向

遅延傾向+5%

Axiom Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_e61fohuL5myEGCp75T44EWD2aXWWhlKb6QKmFZpL/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Axiom capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "axiom-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_e61fohuL5myEGCp75T44EWD2aXWWhlKb6QKmFZpL/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ AxiomをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  DevOpsエンジニア / SRE

  ターミナルやチャットを離れることなく、ログのエラークエリ実行、モニター状態の確認、アラート管理を即座に行いたい方。

• 02

  ソフトウェアエンジニア

  コードエディタから直接APLクエリを実行し、特定のトレースIDやログを特定して、本番環境の問題をデバッグしたい方。

• 03

  データアナリスト

  Axiomの強力な処理言語を利用して、大規模なデータセットを取り込み、自然言語のプロンプトだけで分析を完結させたい方。

• 01

  Do I need to use a terminal to run queries?

  No. This MCP lets you run complex APL queries and manage logs directly from your chat client or code editor. Your AI agent handles the communication with Axiom, so you never have to leave your primary workspace.

• 02

  What kind of data can I ingest?

  You can ingest data in JSON, NDJSON, or CSV formats. This allows you to load various types of telemetry and infrastructure data into Axiom datasets for analysis.

• 03

  What is APL, and why do I need it?

  APL is Axiom Processing Language. It's a powerful, specialized language that lets you run complex queries against your logs. Using it gives you much more detail than simple text searches.

• 04

  Can I set up alerts using this MCP?

  Yes. You can use the capabilities to create and manage monitors and notifiers. You tell the agent what condition to watch for, and it sets up the alert in Axiom.

• 05

  Is this only for DevOps teams?

  No. While it's perfect for SREs and DevOps, data analysts can also use it. You can ingest and analyze large datasets using the same powerful processing language.

• 06

  Can I run complex log analysis using Axiom Processing Language (APL)?

  Yes! Use the run_query capability to execute any APL string. You can specify start_time and end_time to filter your data and get precise analytical results directly in the chat.

• 07

  How do I send new log data to my Axiom datasets?

  You can use the ingest_data capability. Simply provide the dataset_name, the data payload, and the content_type (JSON, NDJSON, or CSV) to stream data into your Axiom account.

• 08

  Is it possible to manage system monitors and alerts through this integration?

  Absolutely. You have access to a full suite of capabilities including list_monitors, create_monitor, and update_monitor to configure threshold or anomaly detection alerts based on your APL queries.

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