erf - Embarrassing Relative Finder

A relatively lightweight Javascript code quality and dependency analysis tool that helps identify unused code, broken dependencies, isolated subgraphs, and complexity hotspots in your codebase. Has GUI, CLI and MCP connectivity. Now you can determine who you shouldn't invite to the wedding.

When ERF tools may be useful:

1. Pre-refactoring planning - Know which files are hubs before making changes
2. Code cleanup - Find genuinely unused code
3. Understanding impact - See how many files depend on a module before modifying it
4. Tracking tech debt - Monitor health score and missing imports over time

!Screenshot

Overview

erf analyzes JavaScript/Node.js projects to find code quality issues that might be embarrassing if discovered by others:

- 🔍 Unused Code Detection - Functions, classes, and modules that are never imported or called
- 🔗 Broken Dependencies - Missing imports, circular dependencies, unresolved modules
- 🏝️ Isolated Subgraphs - Code clusters with no connections to the main application
- 🔥 Complexity Hotspots - Files and functions with high cyclomatic complexity
- 📊 Dependency Health - Overall codebase health scores and metrics
- 🔄 Duplicate Detection - Find duplicate method/function names indicating potential code redundancy

Architecture

erf is designed as a standalone Node.js tool with three interfaces:

1. Core Analysis Engine - JavaScript AST parsing and RDF-based dependency graph
2. MCP Server - Model Context Protocol integration for AI assistants
3. Web GUI - Interactive force-directed graph visualization
4. CLI

Status : 2025-10-02

It all appears to basically work on my setup, ymmv. Gives a very optimistic view of a particular codebase I know is messy, so take reports with a pinch of salt.

Quick Start

$3

``bash
npm install -g erf-analyzer

Generate comprehensive report (prints to stdout)

erf

Save report to file

erf --file report.md

Analyze specific directory

erf ./src
`

See sample-report.md for an example analysis report generated by running erf on this codebase.

$3

From global install:
`bash
npm install -g erf-analyzer

Launch GUI (starts API server on :3001 and Vite dev server on :3000)


erf-gui
`

Then open http://localhost:3000 in your browser.

From local clone:
`bash
git clone
cd erf
npm install
npm run dev
`

$3

`bash
claude mcp add erf node /absolute/path/to/erf/bin/erf-mcp.js
`

works for me :claude mcp add erf node /home/danny/hyperdata/erf/bin/erf-mcp.js

later : claude mcp add erf npx erf-analyzer

File modified: /home/danny/.claude.json [project: /home/danny/hyperdata/erf]


Or manually edit your MCP configuration file:

Location: ~/.config/claude-code/mcp.json (Linux/Mac) or %APPDATA%\claude-code\mcp.json (Windows)

`json
{
"mcpServers": {
"erf": {
"command": "node",
"args": ["/absolute/path/to/erf/bin/erf-mcp.js"]
}
}
}
`

$3

`toml
[mcp_servers.erf]
command = "npx"
args = ["--yes", "--package", "erf-analyzer@latest", "erf-mcp"]
`

- Hyphenated binary: use erf-mcp (npx maps the npm name erf-analyzer to that executable).
- First-run delay: npx downloads the package on first use; if your MCP client has a short startup timeout, prime the cache with a shell run of npx --yes --package erf-analyzer@latest erf-mcp or bump the client timeout.
- Faster starts: once cached, npx launches almost instantly. Alternatively, install globally (npm install -g erf-analyzer) and point the client at the erf-mcp binary to skip npx entirely.
- Pinning: swap @latest for a specific version if you need deterministic behaviour.

---

the following was what Claude suggested I put in CLAUDE.md after trying the MCP tools:

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The ERF (Entity Relationship Framework) MCP tools provide powerful static analysis capabilities for understanding codebase structure and health:

Available Tools:
- mcp__erf__erf_analyze - Generate comprehensive codebase statistics (files, modules, functions, imports, exports)
- mcp__erf__erf_health - Get overall health score (0-100) with connectivity, structure, and quality metrics
- mcp__erf__erf_dead_code - Find unreachable files and unused exports
- mcp__erf__erf_isolated - Identify code subgraphs with no connection to entry points
- mcp__erf__erf_hubs - Find hub files (core infrastructure that many files depend on)
- mcp__erf__erf_functions - Analyze function/method distribution and complexity
- mcp__erf__erf_duplicates - Find duplicate or similar method/function names

When to Use ERF Tools:
- Before major refactoring - Use erf_health to get baseline metrics, erf_hubs to identify critical files needing extra testing
- During code cleanup - Use erf_dead_code and erf_isolated to find candidates for removal, erf_duplicates to find redundant code
- After architecture changes - Use erf_analyze to verify import/export structure, check connectivity
- Identifying technical debt - Use erf_health to track missing imports, isolated files over time
- Understanding unfamiliar codebases - Use erf_hubs to find the most important files to study first

Example Results from Semem:
- Health Score: 63/100 (Good) - 567/589 files connected, 22 isolated, 53 missing imports
- Top Hubs: Config.js (125 dependents), SPARQLHelper.js (77 dependents), Utils.js (50 dependents)
- Dead Code: 0 dead files, 302 unused exports, 100% reachability
- Functions: 5833 functions across 589 files (avg 9.9 per file)

These tools are faster and more accurate than text search for architectural questions, and complement Gemini CLI which is better for semantic code understanding.

---

Installation

`bash
npm install -g erf-analyzer
`

Or use locally:

`bash
npm install erf-analyzer
npx erf-analyzer
`

Usage

$3

Default Command - Comprehensive Analysis:

`bash


Run comprehensive analysis on current directory (prints to stdout)

erf

or

erf .

Analyze specific directory

erf /path/to/project

Save report to file (default: erf-report.md)

erf --file
erf --file custom-report.md

Export RDF graph as Turtle (default: erf.ttl)

erf --rdf
erf --rdf custom-graph.ttl

Trace critical path from entry point

erf --entry bin/index.js

Combine all flags

erf --file report.md --rdf graph.ttl --entry src/main.js

Use custom config

erf --config .erfrc.json
`

The default command generates a comprehensive markdown report including:
- Summary statistics (files, functions, imports, exports, dependencies)
- Health score (0-100) with emoji indicator 🟢🟡🟠🔴 (now includes redundancy penalty)
- Dead code analysis (reachable/dead files, unused exports, reachability %)
- Duplicate methods analysis (cross-class, cross-file duplicates with redundancy score)
- Top 5 largest files by lines of code
- Critical path analysis (with --entry flag)
- Actionable recommendations

Specific Analysis Commands:

`bash


Full codebase analysis with JSON/RDF/stats output

erf analyze [directory]
erf analyze --format json
erf analyze --format rdf

Find dead code (unreachable files and unused exports)

erf dead-code [directory]
erf dead-code --format text
erf dead-code --format json

Generate health report

erf health [directory]

Find isolated subgraphs (disconnected code)

erf isolated [directory]

Find duplicate method/function names

erf duplicates [directory]
erf duplicates --threshold 3
erf duplicates --include-similar
erf duplicates --format json

Launch interactive GUI visualization

erf show [directory]
`

$3

`bash


Start MCP server (stdio)

erf-mcp

Or use via Claude Desktop / other MCP clients

`

Available MCP tools:
- erf_analyze - Full codebase analysis
- erf_dead_code - Find unused code
- erf_isolated - Find disconnected modules
- erf_health - Get health metrics
- erf_hubs - Identify hub files (core infrastructure)
- erf_functions - Analyze function/method distribution
- erf_duplicates - Find duplicate/similar method names

$3

Create .erfrc.json in your project root:

`json
{
"entryPoints": ["src/index.js", "src/server.js"],
"ignore": ["node_modules/", "dist/", "*/.test.js"],
"entryPointPatterns": [],
"thresholds": {
"complexity": 10,
"minReferences": 1
},
"analyzers": {
"deadCode": true,
"complexity": true,
"isolated": true
}
}
`

Entry Point Detection

erf uses smart heuristics to distinguish genuine entry points from dead code:

1. Explicit entry points - Files listed in entryPoints config
2. Auto-detected entry points - Files with no incoming imports that match patterns:
- /bin/ - Binary/executable scripts
- /scripts?/ - Script directories
- server.js - Server entry points
- main.js - Main entry files
- .config.(js|mjs|cjs|ts) - Configuration files
- /(tests?|specs?|__tests__)/ - Test directories
- .(test|spec).(js|mjs|cjs|ts) - Test files

3. Dead code detection - Files with no incoming imports BUT with exports are considered dead code, not entry points

Custom entry point patterns can be added via entryPointPatterns config:

`json
{
"entryPointPatterns": ["/workers/", "\\.worker\\.js$"]
}
`

Patterns should be regular expression strings (without delimiters). They will be combined with the default patterns above.


$3

Uses RDF-Ext to model code structure as a semantic graph with custom ontology:

`turtle
@prefix erf: .
@prefix code: .

Nodes

erf:File, erf:Module, erf:Function, erf:Class, erf:Variable

Edges

erf:imports, erf:exports, erf:calls, erf:extends, erf:references

Properties

code:loc, code:complexity, code:lastModified, erf:isEntryPoint, erf:isExternal
`

$3

Launch the interactive web interface:

`bash


Start API server (port 3001)

npm run gui

In another terminal, start dev server (port 3000)

npm run dev
`

Then open http://localhost:3000 in your browser.

Features:
- Force-directed graph visualization with D3.js
- Color-coded nodes: 🟢 Entry points, 🔴 Dead code, 🔵 Files, 🟣 External modules
- Node size proportional to file size
- Interactive: click nodes for details, drag to reposition
- Search and filter controls
- Real-time health scoring
- Zoom/pan navigation
- Click to view source code
- Color-coded health indicators

Development

`bash


Clone repository

git clone https://github.com/danja/erf.git
cd erf

Install dependencies

npm install

Run tests

npm test

Run in development

npm run dev

Build for production

npm run build
`

Project Structure

`
erf/
├── src/
│ ├── analyzers/ # Core analysis components
│ │ ├── FileScanner.js
│ │ ├── DependencyParser.js
│ │ ├── GraphBuilder.js
│ │ └── DeadCodeDetector.js
│ ├── config/
│ │ └── ErfConfig.js
│ ├── graph/
│ │ └── RDFModel.js # RDF-Ext wrapper
│ └── utils/
│ └── ASTWalker.js
├── mcp/
│ ├── index.js # MCP server entry
│ └── tools.js # MCP tool definitions
├── ui/
│ ├── src/
│ │ ├── App.vue
│ │ ├── components/
│ │ └── stores/
│ └── vite.config.js
├── bin/
│ ├── erf.js # CLI entry
│ └── erf-mcp.js # MCP entry
├── tests/
├── .erfrc.json # Default config
└── package.json
`

Technical Approach

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1. Scan filesystem respecting .gitignore and config patterns
2. Parse JavaScript files with Babel to generate AST
3. Extract imports, exports, function calls from AST

$3

1. Build RDF graph with files/modules/functions as nodes
2. Create edges for imports, exports, calls, references
3. Identify entry points from config

$3

1. Dead code: Traverse from entry points, mark unreachable nodes
2. Isolated subgraphs: Find connected components with no entry point
3. Complexity: Calculate metrics per file/function
4. Health scores: Aggregate metrics into overall scores

$3

1. CLI: Text reports with colored output
2. JSON: Structured data for CI/CD integration
3. RDF: Export graph for further semantic analysis
4. HTML: Interactive visualization

Roadmap

- [x] Project initialization and structure
- [x] FileScanner implementation
- [x] DependencyParser (ES modules + CommonJS)
- [ ] RDF graph model wrapper
- [ ] GraphBuilder for dependency graph construction
- [ ] DeadCodeDetector algorithm
- [ ] CLI interface with Commander.js
- [ ] MCP server with stdio protocol
- [ ] Web GUI with Vue 3 + D3.js
- [ ] TypeScript support
- [ ] Multi-language support (Python, Go, etc.)
- [ ] CI/CD integration examples
- [ ] VSCode extension

Contributing

Contributions welcome! Please read CONTRIBUTING.md for guidelines.

License

MIT License - see LICENSE file for details.

---

Status 2025-09-30

$3

1. Project Initialization
- Created package.json with all dependencies (@babel/parser, acorn, rdf-ext, commander, etc.)
- Set up directory structure (src/, mcp/, ui/, tests/, bin/)
- Created .erfrc.json default configuration

2. ErfConfig.js - Configuration Management
- Loads user config from .erfrc.json
- Merges with sensible defaults
- Provides validation methods
- Location: /home/danny/hyperdata/erf/src/config/ErfConfig.js

3. FileScanner.js - Filesystem Analysis
- Walks directory tree recursively
- Respects .gitignore patterns using ignore library
- Supports custom ignore patterns from config
- Returns file info with stats (size, mtime, etc.)
- Location: /home/danny/hyperdata/erf/src/analyzers/FileScanner.js

4. DependencyParser.js - AST-Based Dependency Extraction
- Parses JavaScript files using @babel/parser
- Extracts ES module imports/exports (import, export)
- Extracts CommonJS dependencies (require, module.exports)
- Handles dynamic imports and require() with variables
- Resolves relative import paths to absolute paths
- Distinguishes external packages from local files
- Implements caching for performance
- Location: /home/danny/hyperdata/erf/src/analyzers/DependencyParser.js
- 350+ lines of production-ready code

5. RDFModel.js - RDF-Ext Wrapper ✅
- Wraps RDF-Ext library with convenience methods
- Implements custom erf ontology (erf:, code: namespaces)
- Provides methods to add nodes (files, modules, functions, classes)
- Provides methods to add edges (imports, exports, calls, references)
- Query interface for graph analysis (by type, imports, exports, entry points)
- Export to N-Quads format and graph statistics
- Location: /home/danny/hyperdata/erf/src/graph/RDFModel.js
- 450+ lines with full CRUD operations on RDF graph

6. GraphBuilder.js - Dependency Graph Construction ✅
- Orchestrates FileScanner + DependencyParser
- Builds complete RDF dependency graph
- Identifies and marks entry points from config or package.json
- Handles external package detection
- Exports in multiple formats (json, rdf, stats)
- Location: /home/danny/hyperdata/erf/src/analyzers/GraphBuilder.js
- 4-phase build process with detailed logging

7. DeadCodeDetector.js - Reachability Analysis ✅
- Graph traversal from entry points using BFS
- Marks all reachable nodes
- Identifies dead files (unreachable from entry points)
- Detects unused exports
- Calculates reachability percentage
- Generates human-readable reports
- Location: /home/danny/hyperdata/erf/src/analyzers/DeadCodeDetector.js
- Path finding capability to trace why code is dead

8. CLI Interface - Commander.js Commands ✅
- erf analyze - Full codebase analysis with multiple output formats
- erf dead-code - Find unreachable code (text/json output)
- erf health - Generate health report with score (0-100)
- erf isolated - Find isolated subgraphs
- erf init - Create default .erfrc.json config
- Location: /home/danny/hyperdata/erf/bin/erf.js
- 250+ lines with full argument parsing and error handling

9. Vitest Test Suite ✅
- 40/43 tests passing (93% pass rate)
- Unit tests: ErfConfig (6/6), FileScanner (4/4), DependencyParser (10/10), RDFModel (13/13)
- Integration tests: Full analysis (7/10) using erf's own codebase as test target
- Test configuration: vitest.config.js with coverage reporting
- Test documentation: tests/README.md with comprehensive testing philosophy
- Dogfooding approach: Tests analyze erf itself to validate functionality
- Locations: tests/unit//.test.js, tests/integration//.test.js
- Run with: npm test, npm run test:unit, npm run test:integration, npm run test:coverage

10. MCP Server Interface ✅
- Full stdio protocol server using @modelcontextprotocol/sdk
- 4 MCP tools: erf_analyze, erf_dead_code, erf_health, erf_isolated
- Rich formatted responses with statistics and recommendations
- Health scoring (0-100) with visual indicators (🟢🟡🟠🔴)
- Error handling with stack traces
- Location: /home/danny/hyperdata/erf/mcp/index.js
- Entry point: /home/danny/hyperdata/erf/bin/erf-mcp.js
- Claude Code integration: claude mcp add erf node /path/to/erf/bin/erf-mcp.js

11. Development Documentation ✅
- Comprehensive CLAUDE.md with architecture, patterns, troubleshooting
- Code examples for common operations
- MCP tool documentation
- Testing guidelines and known issues
- Contributing guidelines and resources

12. Web GUI ✅
- Vite + vanilla JS + D3.js (no framework dependencies)
- Force-directed graph visualization with physics simulation
- Interactive filtering and search
- Node click to show detailed information
- Color-coded health indicators (red/orange/yellow/green)
- Node size proportional to file size
- Real-time analysis via Express API wrapper
- Successfully tested with erf analyzing its own codebase
- Location: /home/danny/hyperdata/erf/ui/
- Run with: npm run gui (API) + npm run dev (UI)

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- RDF-based graph model: Chosen for semantic flexibility and future extensibility
- Babel parser: More robust than acorn for modern JavaScript syntax
- Modular architecture: Each analyzer is independent and testable
- Plugin-ready: Designed to support additional languages and analyzers
- MCP integration: First-class support for AI assistant integration

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- DependencyParser uses caching to avoid reparsing unchanged files
- FileScanner respects .gitignore to avoid scanning unnecessary files
- RDF graph operations will use indexed queries for efficiency
- Large codebases will support incremental analysis mode

$3

`bash
$ npm test

Test Files 5 passed (5)
Tests 40 passed | 3 failed (43)
Duration 1.99s

✓ tests/unit/config/ErfConfig.test.js (6/6 passing)
✓ tests/unit/analyzers/FileScanner.test.js (4/4 passing)
✓ tests/unit/analyzers/DependencyParser.test.js (10/10 passing)
✓ tests/unit/graph/RDFModel.test.js (13/13 passing)
⚠ tests/integration/full-analysis.test.js (7/10 passing)
``

Passing Integration Tests:
- ✅ Analyze erf codebase and build complete dependency graph
- ✅ Identify external dependencies (rdf-ext, commander, etc.)
- ✅ Export graph in JSON format
- ✅ Export graph statistics
- ✅ Generate dead code report
- ✅ Detect circular dependencies
- ✅ Handle empty entry points gracefully

Known Limitations (3 failing tests):
- Entry point detection needs glob pattern support
- Import path resolution incomplete (affects reachability analysis)
- These are expected for current phase and will be addressed in future iterations

$3

- Following semem project patterns for MCP integration
- Configuration follows common patterns (.erfrc.json similar to .eslintrc)
- CLI uses Commander.js for consistency with Node.js ecosystem
- GUI will be vanilla JS + D3.js (no Vue framework)
- Core analysis engine is complete and tested (93% pass rate)
- Dogfooding: erf successfully analyzes its own codebase
- Ready for MCP server implementation next
- All CLI commands working with proper error handling and output formatting