databasesanalytics-data

Axiom Query

axiomhq

by axiomhq

Axiom Query: real-time AI querying and analysis of large datasets with Axiom Processing Language for faster, accurate in

Axiom's MCP server enables AI agents to query and analyze large datasets in real-time using Axiom Processing Language.

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Deprecated - use official server insteadRequires API token authenticationBuilt-in rate limiting

best for

  • / Data analysts working with Axiom datasets
  • / Developers building AI-powered data analysis tools
  • / Teams monitoring system performance and logs

capabilities

  • / Execute APL queries against Axiom datasets
  • / List available datasets and get their schemas
  • / Retrieve saved APL queries
  • / List monitoring configurations
  • / Get monitor execution history
  • / Query large datasets in real-time

what it does

Connects AI agents to Axiom datasets for querying and analyzing large amounts of data using Axiom Processing Language (APL). Note: This server is deprecated - use the official version at mcp.axiom.co instead.

about

Axiom Query is an official MCP server published by axiomhq that provides AI assistants with tools and capabilities via the Model Context Protocol. Axiom Query: real-time AI querying and analysis of large datasets with Axiom Processing Language for faster, accurate in It is categorized under databases, analytics data.

how to install

You can install Axiom Query 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 supports remote connections over HTTP, so no local installation is required.

license

MIT

Axiom Query is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

[DEPRECATED] mcp-server-axiom


⚠️ DEPRECATION NOTICE

This repository is deprecated and no longer maintained.
Please use the official Axiom MCP Server at https://mcp.axiom.co instead.


Overview

A Model Context Protocol server implementation for Axiom that enables AI agents to query your data using Axiom Processing Language (APL).

Status

Works with Claude desktop app. Implements six MCP tools:

  • queryApl: Execute APL queries against Axiom datasets
  • listDatasets: List available Axiom datasets
  • getDatasetSchema: Get dataset schema
  • getSavedQueries: Retrieve saved/starred APL queries
  • getMonitors: List monitoring configurations
  • getMonitorsHistory: Get monitor execution history

Note: All tools require an API token for authentication. Use your API token as the token parameter.

No support for MCP resources or prompts yet.

Installation

Releases

Download the latest built binary from the releases page.

Source

go install github.com/axiomhq/axiom-mcp@latest

Configuration

Configure using one of these methods:

Config File Example (config.txt):

token xaat-your-api-token
url https://api.axiom.co
query-rate 1
query-burst 1
datasets-rate 1
datasets-burst 1
monitors-rate 1
monitors-burst 1

Command Line Flags:

axiom-mcp \
  -token xaat-your-api-token \
  -url https://api.axiom.co \
  -query-rate 1 \
  -query-burst 1 \
  -datasets-rate 1 \
  -datasets-burst 1 \
  -monitors-rate 1 \
  -monitors-burst 1

Environment Variables:

export AXIOM_TOKEN=xaat-your-api-token
export AXIOM_URL=https://api.axiom.co
export AXIOM_QUERY_RATE=1
export AXIOM_QUERY_BURST=1
export AXIOM_DATASETS_RATE=1
export AXIOM_DATASETS_BURST=1
export AXIOM_MONITORS_RATE=1
export AXIOM_MONITORS_BURST=1

Usage

  1. Create a config file:
echo "token xaat-your-api-token" > config.txt
  1. Configure the Claude app to use the MCP server:
code ~/Library/Application\ Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "axiom": {
      "command": "/path/to/your/axiom-mcp-binary",
      "args" : ["--config", "/path/to/your/config.txt"],
      "env": { // Alternatively, you can set the environment variables here
        "AXIOM_TOKEN": "xaat-your-api-token",
        "AXIOM_URL": "https://api.axiom.co"
      }
    }
  }
}

License

MIT License - see LICENSE file

FAQ

What is the Axiom Query MCP server?
Axiom Query 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 Query?
This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Use Cases

Direct Database Queries from AI

Enable Claude to query your database directly using natural language

Example

Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly

Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster

Data Analysis & Reporting

Generate complex reports and analytics without leaving conversation

Example

Analyze sales trends, cohort retention, user behavior patterns conversationally

Democratize data access—non-technical team members can query databases

Schema Exploration

Understand database structure, relationships, and data models

Example

'Explain the user_orders table schema and its relationships'

Onboard engineers faster, explore unfamiliar databases efficiently

Data Validation & Quality Checks

Run data quality queries to catch anomalies and inconsistencies

Example

Find duplicate records, missing values, orphaned foreign keys automatically

Maintain data integrity with less manual SQL work

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor with MCP support
  • Database credentials (read-only recommended for safety)
  • Network access from Claude client to database
  • Understanding of database security and access control

Time Estimate

15-30 minutes including configuration and testing

Installation Steps

  1. 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
  2. 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
  3. 3.Provide connection string: host, port, database, username, password
  4. 4.Restart Claude Desktop to load MCP server
  5. 5.Test connection: 'List all tables in database'
  6. 6.Run simple query: 'Show me 5 rows from users table'
  7. 7.Verify results and permissions are correct
  8. 8.Document query patterns for team use

Troubleshooting

  • Connection refused: Check database is running and network accessible
  • Authentication failed: Verify credentials, check user permissions
  • Claude can't see tables: Grant appropriate read permissions to database user
  • Slow queries: Add indexes, limit result set size, use read replicas
  • MCP server not loading: Check config syntax, restart Claude Desktop

Best Practices

✓ Do

  • +Use read-only database credentials to prevent accidental writes
  • +Connect to read replica, not production primary database
  • +Set query timeout limits to prevent long-running queries
  • +Document database schema and common queries for AI context
  • +Monitor query performance and optimize slow queries
  • +Use connection pooling for better performance
  • +Test with non-production data first

✗ Don't

  • Don't use production write credentials—risk of data corruption
  • Don't query production database during peak traffic hours
  • Don't expose sensitive PII without proper access controls
  • Don't skip query result validation—AI can misinterpret schema
  • Don't allow unlimited result set sizes—set LIMIT clauses
  • Don't share database credentials in plain text config files

💡 Pro Tips

  • Create database views for common queries to simplify AI access
  • Add schema comments/descriptions so AI understands column meanings
  • Use semantic table/column names ('customer_lifetime_value' not 'clv')
  • Set up query logging to audit what Claude is querying
  • Create saved query templates for recurring analysis
  • Combine with data visualization tools for better insights

Technical Details

Architecture

MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.

Protocols

  • Model Context Protocol (MCP)
  • Database-specific protocols (PostgreSQL, MySQL, MongoDB)

Compatibility

  • PostgreSQL
  • MySQL
  • SQLite
  • MongoDB
  • Redis

When to Use This

✓ Use When

Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.

✗ Avoid When

Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.

Integration

  • Read replica connection for analytics queries
  • Database view layer to abstract complex joins
  • Query result caching for repeated questions
  • Audit logging of all AI-generated queries

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.830 reviews
  • Dhruvi Jain· Dec 28, 2024

    Axiom Query is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Ren Thompson· Dec 8, 2024

    We evaluated Axiom Query against two servers with overlapping tools; this profile had the clearer scope statement.

  • James Perez· Nov 27, 2024

    We wired Axiom Query into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Oshnikdeep· Nov 19, 2024

    Axiom Query is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Pratham Ware· Oct 22, 2024

    Axiom Query reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Fatima Iyer· Oct 18, 2024

    Axiom Query is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Ganesh Mohane· Oct 10, 2024

    We evaluated Axiom Query against two servers with overlapping tools; this profile had the clearer scope statement.

  • Camila Rao· Sep 21, 2024

    According to our notes, Axiom Query benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Sakura Park· Sep 17, 2024

    Axiom Query reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Fatima Abbas· Sep 1, 2024

    Useful MCP listing: Axiom Query is the kind of server we cite when onboarding engineers to host + tool permissions.

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