Connectez Axiom à ChatGPT, Claude et Gemini

• 01 / 03Automatiser la surveillance
• 02 / 03Déboguer les pannes
• 03 / 03Ingérer et visualiser les données

Jour le plus rapide

865ms

Jour le plus lent

1313ms

Tendance sur 14 jours

En ralentissement+5%

Axiom Connector

Tout est prêt. Choisissez votre client MCP et suivez les instructions de configuration.

Lien du connecteurhttps://edge.vinkius.com/vk_preview_e61fohuL5myEGCp75T44EWD2aXWWhlKb6QKmFZpL/mcpCopier

Claude Desktop

Suivez les étapes ci-dessous pour vous connecter en quelques secondes.

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.

Configuration · claude_desktop_config.jsonCopier

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

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

Les instructions pas à pas pour chaque client sont dans le guide. Comment connecter

Configuration guidée pour Claude ? Configurer Axiom avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  DevOps et SRE

  Vous pouvez interroger instantanément les logs à la recherche d'erreurs, vérifier les statuts de moniteurs et gérer les alertes sans quitter votre terminal ou votre chat.

• 02

  Ingénieurs Logiciels

  Déboguez les problèmes de production en exécutant des requêtes APL directement depuis l'éditeur de code pour localiser des IDs de trace ou des logs précis.

• 03

  Analystes de Données

  Ingérez et analysez de grands ensembles de données en utilisant le langage de traitement puissant d'Axiom, le tout via des invites en langage naturel simples.

• 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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