Axiom

MCP Server for Axiom

A JavaScript port of the official Axiom MCP server that enables AI agents to query data using Axiom Processing Language (APL).

Link to glama.ai

This implementation provides the same functionality as the original Go version but packaged as an npm module for easier integration with Node.js environments.

Installation & Usage

MCP Configuration

You can run this MCP server directly using npx. Add the following configuration to your MCP configuration file:

{
  "axiom": {
    "command": "npx",
    "args": ["-y", "mcp-server-axiom"],
    "env": {
      "AXIOM_TOKEN": "<AXIOM_TOKEN_HERE>",
      "AXIOM_URL": "https://api.axiom.co",
      "AXIOM_ORG_ID": "<AXIOM_ORG_ID_HERE>"
    }
  }
}

Local Development & Testing

Installation

npm install -g mcp-server-axiom

Environment Variables

The server can be configured using environment variables:

• AXIOM_TOKEN (required): Your Axiom API token
• AXIOM_ORG_ID (required): Your Axiom organization ID
• AXIOM_URL (optional): Custom Axiom API URL (defaults to https://api.axiom.co)
• AXIOM_QUERY_RATE (optional): Queries per second limit (default: 1)
• AXIOM_QUERY_BURST (optional): Query burst capacity (default: 1)
• AXIOM_DATASETS_RATE (optional): Dataset list operations per second (default: 1)
• AXIOM_DATASETS_BURST (optional): Dataset list burst capacity (default: 1)
• PORT (optional): Server port (default: 3000)

Running the Server Locally

1. Using environment variables:

export AXIOM_TOKEN=your_token
mcp-server-axiom

2. Using a config file:

mcp-server-axiom config.json

Example config.json:

{
  "token": "your_token",
  "url": "https://custom.axiom.co",
  "orgId": "your_org_id",
  "queryRate": 2,
  "queryBurst": 5,
  "datasetsRate": 1,
  "datasetsBurst": 2
}

API Endpoints

• GET /: Get server implementation info
• GET /tools: List available tools
• POST /tools/:name/call: Call a specific tool
  • Available tools:
    • queryApl: Execute APL queries
    • listDatasets: List available datasets

Example Tool Calls

1. Query APL:

curl -X POST http://localhost:3000/tools/queryApl/call \
  -H "Content-Type: application/json" \
  -d '{
    "arguments": {
      "query": "['logs'] | where ['severity'] == \"error\" | limit 10"
    }
  }'

2. List Datasets:

curl -X POST http://localhost:3000/tools/listDatasets/call \
  -H "Content-Type: application/json" \
  -d '{
    "arguments": {}
  }'

License

MIT