MCP Server Axiom

What is mcp-server-axiom

mcp-server-axiom is a server implementation developed by AxiomHQ that leverages the Model Context Protocol (MCP) to enable AI agents to interact with Axiom datasets using the Axiom Processing Language (APL). Designed for seamless integration with AI systems, it allows AI agents, like those in the Claude desktop app, to execute queries and manage data effortlessly. By using mcp-server-axiom, users can harness the power of AI to gain insights from their data without needing deep technical expertise.

How to Use mcp-server-axiom

To get started with mcp-server-axiom, users need to follow these steps:

1. Installation:

   • You can install mcp-server-axiom either by downloading the latest binary release or by building from the source using the Go language.

2. Configuration:

   • Configure the server using a configuration file, command line flags, or environment variables. The configuration involves setting up your Axiom token, API URL, and rate limits for queries and dataset listings.

3. Integration:

   • mcp-server-axiom needs to be connected with the Claude desktop app. This is done by updating the Claude configuration file to point to the mcp-server-axiom executable along with the necessary settings.

These steps ensure that your AI agents can perform efficient data queries and dataset management tasks within the Axiom ecosystem.

Key Features of mcp-server-axiom

• MCP Tools Implementation: The server offers two primary tools:

  • queryApl: Execute complex APL queries on Axiom datasets, allowing AI systems to extract and process data efficiently.
  • listDatasets: Retrieve and display available datasets within Axiom, providing a clear overview of accessible data.

• Flexible Configuration: Users can configure mcp-server-axiom in multiple ways, whether through a configuration file, command line inputs, or environment variables, offering flexibility to suit different system setups and preferences.

• Seamless Integration with AI Applications: Specifically designed to work with the Claude desktop app, ensuring robust and reliable AI-driven data management.

• Efficient Data Querying: Leveraging the power of APL, users can perform sophisticated queries that enable insightful data analysis and decision-making.

• Secure and Scalable: Built to support secure connections and scalable operations, making it suitable for both small-scale and enterprise-level data environments.

By utilizing mcp-server-axiom, users can empower their AI agents to interact with data in a way that is intuitive, secure, and efficient, unlocking the full potential of their Axiom datasets.