I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

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).
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
- Using environment variables:
export AXIOM_TOKEN=your_token
mcp-server-axiom
- 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
-
- Available tools:
Example Tool Calls
- 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"
}
}'
- List Datasets:
curl -X POST http://localhost:3000/tools/listDatasets/call \
-H "Content-Type: application/json" \
-d '{
"arguments": {}
}'
License
MIT
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Reviews

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MCP Network Sentinel by takeaship has truly transformed my network security management. Its user-friendly interface and powerful monitoring capabilities ensure my systems are always protected. The seamless integration and real-time alerts are invaluable. Highly recommend this to anyone seeking reliable and efficient network security solutions! Check out more here: https://mcp.so/server/mcp-network-sentinel/takeaship