Axiom MCP — Log Search and Analytics for AI Agents

What it is

Axiom MCP is an MCP server that connects AI agents to Axiom's log analytics platform. It enables agents to query logs, traces, and metrics using natural language instead of writing APL (Axiom Processing Language) queries manually. The server translates agent requests into structured queries against your Axiom datasets.

This tool targets SRE teams, DevOps engineers, and developers who use Axiom for observability and want AI assistance for log analysis, incident investigation, and metric exploration. The MCP interface makes Axiom data accessible to any MCP-compatible AI agent.

How it saves time or tokens

Instead of writing APL queries manually during an incident, you describe what you need in natural language. The AI agent constructs the query, executes it via the MCP server, and interprets the results. This reduces the time between 'something is wrong' and 'here is the root cause.' The agent can correlate across multiple datasets without you switching between dashboard views.

How to use

1. Add the Axiom MCP server to your agent configuration with your Axiom API token and org ID.
2. Start your AI agent (Claude Code, Claude Desktop, etc.) with the MCP server configured.
3. Ask natural language questions about your logs, traces, and metrics.

Example

{
  "mcpServers": {
    "axiom": {
      "command": "npx",
      "args": ["-y", "axiom-mcp"],
      "env": {
        "AXIOM_TOKEN": "xaat-your-token",
        "AXIOM_ORG_ID": "your-org"
      }
    }
  }
}

Then ask your agent:

• 'Show me error logs from the last hour'
• 'What caused the spike in 500 errors at 3pm?'
• 'Find all requests with latency above 2 seconds'

Related on TokRepo

• Monitoring Tools — Observability and monitoring integrations
• DevOps Tools — Infrastructure and operations tools

Common pitfalls

• The Axiom API token determines what datasets the agent can access. Use a token with read-only permissions scoped to the datasets you want to expose.
• Large time ranges can return massive result sets. Encourage the agent to use narrow time windows or add filters to keep queries efficient.
• The MCP server requires network access to Axiom's API. It does not work in air-gapped environments.