Conecte Axiom ao ChatGPT, Claude e Gemini

• 01 / 03Como automatizar o monitoramento
• 02 / 03Como depurar falhas
• 03 / 03Como ingerir e visualizar dados

Dia mais rápido

865ms

Dia mais lento

1313ms

Tendência de 14 dias

Desacelerando+5%

Axiom Connector

Tudo pronto. Escolha seu cliente MCP e siga as instruções de configuração.

Link do conectorhttps://edge.vinkius.com/vk_preview_e61fohuL5myEGCp75T44EWD2aXWWhlKb6QKmFZpL/mcpCopiar

Claude Desktop

Siga os passos abaixo para conectar em segundos.

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.

Configuração · claude_desktop_config.jsonCopiar

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

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

Instruções passo a passo para cada cliente estão no guia. Como conectar

Configuração guiada para o Claude? Configurar Axiom no Claude e outras IAs

Veja todos os clientes de IA com quem este connector funciona ↑

• 01

  DevOps & SREs

  Execute consultas de logs para erros, verifique status de monitores e gerencie alertas sem sair do terminal ou chat.

• 02

  Engenheiros de Software

  Faça o debug de problemas de produção rodando consultas APL diretamente do editor de código para encontrar IDs de rastreamento ou logs específicos.

• 03

  Analistas de Dados

  Ingira e analise grandes volumes de dados utilizando a linguagem de processamento poderosa do Axiom, apenas com prompts simples em linguagem natural.

• 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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