Axiom

Axiom's MCP server is an open-source implementation of the Model Context Protocol (MCP) that allows AI agents to query and analyze large datasets in real-time using the Axiom Processing Language (APL).

Source: GitHub - axiomhq/mcp-server-axiom

Features

• MCP Server Implementation: Enables AI agents (such as Claude desktop app) to interact with Axiom datasets via the Model Context Protocol.
• APL Query Execution: Supports executing Axiom Processing Language (APL) queries against datasets (queryApl tool).
• Dataset Listing: Allows listing all available Axiom datasets (listDatasets tool).
• Multiple Configuration Methods: Can be configured via config file, command-line flags, or environment variables.
• Rate Limiting: Supports configuration of query and dataset listing rates (rate and burst settings).
• Integration Ready: Designed to be integrated as an MCP server for AI applications.
• Open Source: Licensed under the MIT License.
• Written in Go: 100% Go implementation.

Installation

• Download pre-built binaries from the releases page.
• Or install via Go: go install github.com/axiomhq/axiom-mcp@latest

Usage

• Configure with a config file, command-line flags, or environment variables.
• Can be used in conjunction with the Claude desktop app by specifying the MCP server command, arguments, and environment variables in the app's configuration.

Pricing

• Open Source: Free to use under the MIT License.

Tags

data-analysis real-time ai-integration open-source

Category

Data Analysis & Exploration MCP Servers