MCP Servers
Axiom MCP Server
Last updated December 15, 2024
An MCP server that connects AI assistants with Axiom datasets via Axiom Processing Language (APL).
Axiom MCP Server is an open-source Model Context Protocol implementation that integrates Axiom's observability and analytics platform with AI assistants. It allows developers to query datasets, inspect schemas, access saved queries, and monitor execution history directly from MCP-compatible environments. Built in Go, the server exposes tools for executing APL queries, listing datasets, retrieving schemas, and fetching monitoring configurations. It requires an API token for authentication and can be configured via files, CLI flags, or environment variables. With this integration, developers gain natural language access to real-time observability data within Claude Desktop and similar AI-powered IDEs.
Key features
- Execute APL queries against Axiom datasets
- List available datasets
- Retrieve dataset schemas
- Access saved and starred queries
- Fetch monitoring configurations
- Retrieve monitor execution history
- API token–based authentication
- Flexible configuration via file, CLI, or environment variables
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