What can you do with this server?

The LORE MCP server provides architectural memory for AI coding assistants, enabling them to record, retrieve, and analyze technical decisions across sessions. Core capabilities: * Record decisions (record_decision): Capture technical choices with description, reasoning, category (e.g., database, auth, security), who decided (AI or human), alternatives considered, and constraints that must not be violated * Retrieve context (get_context): Fetch all recorded decisions at session start to understand codebase rationale, with optional filtering by search query or category * Identify gaps (get_gaps): Surface decisions that were made but may not be fully implemented, highlighting inconsistencies or incomplete features It integrates with AI coding tools like Claude Code and Cursor via MCP, preserving the "why" behind technical choices that AI assistants would otherwise lose between sessions.

Which integrations are available for this server?

Analyzes Git history to extract architectural insights, including bug-fix ratios, file churn, and commit quality.

lore-mcp by EliotShift

The LORE MCP server provides architectural memory for AI coding assistants, enabling them to record, retrieve, and analyze technical decisions across sessions.

Core capabilities:

Record decisions (record_decision): Capture technical choices with description, reasoning, category (e.g., database, auth, security), who decided (AI or human), alternatives considered, and constraints that must not be violated
Retrieve context (get_context): Fetch all recorded decisions at session start to understand codebase rationale, with optional filtering by search query or category
Identify gaps (get_gaps): Surface decisions that were made but may not be fully implemented, highlighting inconsistencies or incomplete features

It integrates with AI coding tools like Claude Code and Cursor via MCP, preserving the "why" behind technical choices that AI assistants would otherwise lose between sessions.

lore-mcp MCP server

See it in action

Why LORE?

Every time you open Claude Code or Cursor, it starts with zero context.

Without LORE, you manually explain every session:

"We use PostgreSQL because we need ACID transactions"
"JWT expiry is 24h due to mobile requirements"
"4 of our API routes have no auth middleware"

With LORE, one command gives AI full context automatically:

npx lore-mcp init

Quick Start

npm install -g lore-mcp
cd your-project
lore init
lore status

What LORE detects

Source	What it finds
`package.json`	Databases, frameworks, auth, security libs
Source code	Unprotected routes, error handling %, MVC patterns
Git history	Bug-fix ratio, high churn files, commit quality
Manual input	WHY behind decisions via `lore decide`

CLI

lore init                        # Analyze project → extract 24 decisions
lore status                      # View all decisions by category
lore decide "reason"             # Record WHY behind a decision
lore doctor                      # Diagnose setup issues
lore --version                   # Show version

Capture the WHY

Automated extraction finds WHAT. lore decide captures WHY:

lore decide "chose PostgreSQL over MongoDB — need ACID for payments"
lore decide "rejected Redis sessions — JWT scales better for microservices"
lore decide "helmet enabled — security audit requirement Q1 2026"

MCP Integration

Add to Claude Code / Cursor settings:

{
  "mcpServers": {
    "lore": {
      "command": "node",
      "args": ["/path/to/lore-mcp/dist/index.js"]
    }
  }
}

What LORE finds in a real project

SECURITY
  ● bcrypt for password hashing
  ● Helmet.js for HTTP security headers
  ● 3 of 5 routes may lack auth middleware  ← security gap
  ● JWT secrets must be in environment variables

RISK
  ● High bug-fix ratio: 3/5 recent commits are fixes
  ● Low commit message quality: 0%
  ● High churn file: src/services/userService.ts

Built by

@TheEliotShift — Developer from Morocco 🇲🇦

If LORE saved you time → ⭐

lore-mcp

See it in action

Why LORE?

Quick Start

What LORE detects

CLI

Capture the WHY

MCP Integration

What LORE finds in a real project

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