Axiom▌

by thetabird
Integrate with Axiom to run APL queries, analyze logs, detect anomalies, and make data-driven decisions easily.
Integrates with Axiom for executing APL queries and listing datasets, enabling log analysis, anomaly detection, and data-driven decision making.
best for
- / DevOps teams analyzing application logs
- / Data analysts exploring observability data
- / Teams performing real-time monitoring
- / Incident response and troubleshooting
capabilities
- / Execute APL queries on Axiom datasets
- / List available datasets
- / Perform log analysis and filtering
- / Detect anomalies in data
- / Query time-series data
- / Generate data-driven insights
what it does
Connects to Axiom to execute APL queries and manage datasets. Enables AI agents to perform log analysis and anomaly detection on your Axiom data.
about
Axiom is a community-built MCP server published by thetabird that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Axiom to run APL queries, analyze logs, detect anomalies, and make data-driven decisions easily. It is categorized under analytics data.
how to install
You can install Axiom in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Axiom is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
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).
<a href="https://glama.ai/mcp/servers/8hxxw8uenu"> <img width="380" height="200" src="https://glama.ai/mcp/servers/8hxxw8uenu/badge" /> </a>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 tokenAXIOM_ORG_ID(required): Your Axiom organization IDAXIOM_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 infoGET /tools: List available toolsPOST /tools/:name/call: Call a specific tool- Available tools:
queryApl: Execute APL querieslistDatasets: 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
FAQ
- What is the Axiom MCP server?
- Axiom is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Axiom?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Axiom is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Axiom against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Axiom is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Axiom reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Axiom for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Axiom surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Axiom has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Axiom benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Axiom into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Axiom is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.