Axom MCP Server

Axom is a Model Context Protocol (MCP) server that provides persistent memory, tool abstraction, and chain-of-thought for AI agents.

Core Features

• Persistent Memory: Store and retrieve context across sessions using the Axom (SQLite) database.

• Tool Abstraction: Unified interface for memory, execution, analysis, discovery, and transformation.

• Chain Reactions: Execute tool sequences where outputs feed into the next step.

• AI-Powered Classification: Automatically categorizes memories by type and importance.

Quick Start

Axom runs as stdio MCP - your IDE spawns it automatically. No manual server startup needed.

Prerequisites

• Python 3.11+

• SQLite (included with Python)

• Git

• uv (optional, for faster installation and uvx support)

Installation

Linux / macOS / WSL / Windows (Native)

Requires Git Bash, PowerShell, or a make provider.

What

1. Installs Python dependencies.

2. Creates .env from .env.example.

3. Configures all detected agents (Cursor, Trae, etc.).

4. Installs Axom rules and skills for each agent.

Verification

Client Configuration

make install automatically configures MCP for detected agents. The installer uses the best available command:

1. uvx axom-mcp (if uv is installed)

2. axom (if in PATH)

3. python -m axom_mcp (fallback)

See docs/agents/INDEX.md for detailed agent configuration.

Tools

Axom provides five core MCP tools:

• axom_mcp_memory: Store and retrieve persistent context.

• axom_mcp_exec: File operations and shell commands with chaining.

• axom_mcp_analyze: Code analysis and debugging.

• axom_mcp_discover: Map environment and capabilities.

• axom_mcp_transform: Convert data between formats.

Documentation

• Architecture - System design and data flow.

• Tool Reference - Detailed tool parameters.

• Agent Guide - How to use Axom with AI agents.

• Troubleshooting - Common issues and fixes.