MCP Server Axiom

What is mcp-server-axiom

mcp-server-axiom is a server implementation designed by axiomhq that leverages the Model Context Protocol (MCP). This server enables AI agents, such as the Claude desktop app, to access and query data using Axiom Processing Language (APL). By utilizing MCP, mcp-server-axiom offers a standardized way for AI systems to interact with external data sources, providing AI agents with the ability to execute queries and list dataset information from Axiom environments. This server is specifically built to work seamlessly with Axiom's data processing capabilities, allowing for efficient data interaction and retrieval.

How to Use mcp-server-axiom

To get started with mcp-server-axiom, follow these simple steps:

1. Installation:

   • Releases: Download the latest version of the built binary.
   • Source: Use the command go install github.com/axiomhq/axiom-mcp@latest to install from source.

2. Configuration: You can configure the server using a configuration file, command-line flags, or environment variables. Here's how you can set up each method:

   • Config File: Create a config.txt file with your token, URL, and rate limits.
   • Command Line: Run the server with flags such as -token, -url, -query-rate, etc.
   • Environment Variables: Export relevant environment variables like AXIOM_TOKEN and AXIOM_URL.

3. Usage:

   • Create a configuration file with your access details.
   • Integrate and configure the Claude desktop application to utilize the MCP server by modifying claude_desktop_config.json with the server path and configuration details.

Key Features of mcp-server-axiom

• APL Query Execution: Through the queryApl tool, mcp-server-axiom allows AI agents to perform APL queries directly on Axiom datasets, enabling complex data processing and retrieval tasks to be executed seamlessly.

• Dataset Management: The listDatasets tool provides a straightforward way to list all available datasets within Axiom, offering AI agents an overview of accessible data resources.

• Flexible Configuration: Users can configure the server using various methods, including configuration files, command-line flags, and environment variables, allowing for a tailored setup that fits different deployment needs.

• Integration with AI Systems: Built to work with AI systems like the Claude desktop app, mcp-server-axiom facilitates the secure and efficient connection between AI agents and data resources, enhancing AI capabilities.

• Scalable Performance: The server supports rate and burst limits for queries and dataset listing, ensuring that data interactions are efficiently managed and scalable according to specific performance requirements.

By using mcp-server-axiom, organizations can empower their AI agents with the tools necessary for sophisticated data interaction, all while maintaining a secure and standardized protocol for data access. This server implementation is ideal for those looking to enhance their AI-driven data processing capabilities within the Axiom ecosystem.