Axiom MCP Server

Axiom MCP Server

The Axiom MCP Server provides a seamless bridge between AI assistants and the powerful analytics platform of Axiom. By exposing Axiom’s query, ingestion, and alerting capabilities through the Model Context Protocol (MCP), developers can enrich conversational agents with real‑time data insights, automated reporting, and proactive anomaly detection—all without leaving the assistant’s environment. This solves the common problem of integrating complex analytics back‑ends into AI workflows, where developers typically need to write custom API wrappers or maintain separate authentication flows.

At its core, the server reads a simple configuration file containing an Axiom API token and exposes several MCP resources. These include tools for executing structured queries against Axiom indices, retrieving aggregated metrics, and creating or updating alert rules. The MCP interface also supports prompt templates that can embed query results directly into the assistant’s responses, enabling dynamic content generation based on live data. This tight coupling means an AI assistant can answer questions like “What was our peak traffic last week?” or “Trigger a new alert when error rates exceed 5%,” with the data flowing straight from Axiom.

Key capabilities of the server are:

• Secure authentication via a single token stored in , eliminating the need for hard‑coded credentials in code.
• Rich query tooling that lets assistants run arbitrary Axiom queries and receive structured results in JSON, which can then be transformed or visualized.
• Alert management so assistants can create, update, or delete alert rules on demand, enabling automated incident response.
• Prompt templating that integrates query outputs into conversational context, keeping responses relevant and up‑to‑date.

Real‑world use cases abound. A DevOps chatbot can pull the latest CPU utilization metrics and recommend scaling actions, while a data‑science assistant might fetch cohort analysis results to answer business questions on the fly. Marketing teams can use the server to generate campaign performance reports, and security analysts can trigger alerts for suspicious activity patterns—all through natural language commands.

Integration with existing AI workflows is straightforward. Once the server is configured, developers add it to their assistant’s configuration. The MCP client automatically discovers the available tools and resources, allowing developers to reference them in prompts or custom tool calls. Because the server operates over standard HTTP and adheres to MCP specifications, it works with any assistant that supports the protocol, ensuring a consistent developer experience across platforms.