Verbinden Sie Axiom mit ChatGPT, Claude und Gemini

• 01 / 03Monitoring automatisieren
• 02 / 03Ausfälle analysieren
• 03 / 03Daten erfassen und visualisieren

Schnellster Tag

865ms

Langsamster Tag

1313ms

14-Tage-Trend

Verlangsamend+5%

Axiom Connector

Alles bereit. Wählen Sie Ihren MCP-Client und folgen Sie den Einrichtungsschritten.

Connector-Linkhttps://edge.vinkius.com/vk_preview_e61fohuL5myEGCp75T44EWD2aXWWhlKb6QKmFZpL/mcpKopieren

Claude Desktop

Folgen Sie den Schritten unten, um sich in Sekunden zu verbinden.

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.

Konfiguration · claude_desktop_config.jsonKopieren

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

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

Schritt-für-Schritt-Anleitungen für jeden Client finden Sie im Guide. Verbinden

Geführte Einrichtung für Claude? Axiom in Claude und anderen KI-Tools einrichten

Alle KI-Clients ansehen, mit denen dieser Connector funktioniert ↑

• 01

  DevOps & SREs

  Sie können Protokolle sofort nach Fehlern durchsuchen, den Status von Monitoren prüfen und Alarme verwalten, ohne das Terminal oder den Chat verlassen zu müssen.

• 02

  Software Engineers

  Sie debuggen Produktionsprobleme, indem Sie APL-Abfragen direkt aus dem Code-Editor ausführen, um spezifische Trace-IDs oder Protokolle zu finden.

• 03

  Data Analysts

  Sie importieren und analysieren große Datensätze mithilfe der leistungsstarken Verarbeitungssprache von Axiom, gesteuert durch einfache natürliche Sprachbefehle.

• 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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