The code quality toolkit for the vibe coding era.
Static analysis that finds the mess vibe coding leaves behind — dead code, duplicated logic, scaffolding artifacts, and disconnected functions — across 16 languages.
AI-assisted coding is fine — you review the code, you understand the architecture, you stay in control. Vibe coding is different. You describe what you want, the AI writes it, and you ship it without reading every line. Tools like Claude Code, Cursor, GitHub Copilot, and Windsurf make this workflow fast and productive. But over days and weeks, vibe-coded projects accumulate a specific class of problems that traditional linters don't catch:
Dead code piles up fast. When the AI refactors a function, it writes the new version but often forgets to remove the old one. You don't notice because you didn't read the diff line by line. Over multiple sessions, unused functions, unreachable branches, and orphaned utilities pile up — the codebase grows but nothing gets pruned. A METR study found developers spend significant time checking and debugging AI output. Dead code makes this exponentially harder.
Duplication spreads silently. Each AI session has limited context window. It generates a utility function that already exists elsewhere, or solves the same problem with a slightly different implementation three files over. You asked for a feature, it works, so you move on. Traditional duplicate detection focuses on copy-paste — vibe coding duplication is structural: similar logic, different names, scattered across modules.
// Phase 1, // TODO, // Step 2 — everywhere. AI agents work in phases. They leave behind scaffolding markers that were meant to be temporary: // Phase 1: Setup, // TODO: implement error handling, placeholder function bodies with pass or todo!(), and phased naming like process_data_v2. In vibe coding, nobody goes back to clean these up. They become permanent fixtures.
Functions exist that nothing calls. This is the vibe coding signature. The AI writes a helper function, uses it, then in a later session rewrites the caller to use a different approach — but the helper stays. Without a call graph, neither you nor the AI can tell which functions are actually connected to the rest of the codebase. Current AI coding tools navigate code by text search, not by understanding how functions call each other.
Temp files accumulate in the repo. AI sessions create temp_, backup_, old_, phase_1_ files and directories. In vibe coding, you don't audit your file tree after each session. These artifacts persist across commits.
Fossil MCP is a static analysis toolkit purpose-built for vibe-coded projects. It detects the artifacts that accumulate when AI writes most of the code — and it works both as a CLI tool for developers and as an MCP server that gives AI agents a code graph instead of just text search.
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Dig up dead code. Unearth clones. Expose scaffolding.
| Analysis | What it finds | The vibe coding problem |
|---|---|---|
| Dead Code | Unreachable functions, unused exports, orphaned methods | AI rewrites a caller but forgets to delete the old helper — nobody notices |
| Code Clones | Type 1 (exact), Type 2 (renamed), Type 3 (structural) duplicates | Each AI session reinvents utilities that already exist elsewhere in the codebase |
| Scaffolding | Phase N / Step N comments, TODO/FIXME markers, placeholder bodies |
AI works in phases and leaves temporary markers that never get cleaned up |
| Temp Files | temp_*, backup_*, old_*, phase_* files and directories |
Session artifacts that persist because nobody audits the file tree |
| Code Graph | Trace paths between any two functions, blast radius analysis, call graph traversal | AI tools navigate by text search — Fossil gives them a graph to trace how functions connect and what breaks if you change one |
- Purpose-built for vibe coding. Not a general linter — specifically targets the mess that accumulates when AI writes most of the code and humans review less of it.
- Graph, not grep. AI coding tools navigate code by searching for text. Fossil builds a call graph and lets agents trace how functions connect, find blast radius before refactoring, and discover dead ends — without reading every file.
- MCP-native. Runs as an MCP server so AI agents can self-check their output during development.
- Saves tokens, saves money. Instead of an agent scanning files over and over to find issues, Fossil identifies dead code, clones, and scaffolding in one pass — fewer rounds of LLM inference, lower cost.
- Built in Rust. Single binary, no runtime dependencies. Scans thousands of files in seconds. Memory-safe by design.
- Cross-file analysis. Resolves imports, barrel re-exports, and class hierarchies to find dead code across module boundaries.
- Framework-aware. Auto-detects React, Next.js, Django, Spring, Axum, and more — won't flag lifecycle methods as dead code.
- Zero configuration. Works out of the box. Config file is optional.
- 16 languages. One tool for polyglot codebases.
macOS / Linux:
curl -fsSL fossil-mcp.com/install.sh | shWindows (PowerShell):
irm fossil-mcp.com/install.ps1 | iexAuto-detects your OS and architecture, downloads the latest binary, and adds it to your PATH.
Download the latest binary for your platform from GitHub Releases:
# macOS (Apple Silicon)
curl -L https://github.com/yfedoseev/fossil-mcp/releases/latest/download/fossil-mcp-macos-aarch64.tar.gz | tar xz
mv fossil-mcp /usr/local/bin/
# macOS (Intel)
curl -L https://github.com/yfedoseev/fossil-mcp/releases/latest/download/fossil-mcp-macos-x86_64.tar.gz | tar xz
mv fossil-mcp /usr/local/bin/
# Linux (x86_64)
curl -L https://github.com/yfedoseev/fossil-mcp/releases/latest/download/fossil-mcp-linux-x86_64-musl.tar.gz | tar xz
mv fossil-mcp ~/.local/bin/| Platform | Architecture | Archive |
|---|---|---|
| Linux | x86_64 (recommended) | fossil-mcp-linux-x86_64-musl |
| Linux | x86_64 (glibc) | fossil-mcp-linux-x86_64 |
| Linux | ARM64 | fossil-mcp-linux-aarch64 |
| macOS | Intel | fossil-mcp-macos-x86_64 |
| macOS | Apple Silicon | fossil-mcp-macos-aarch64 |
| Windows | x86_64 | fossil-mcp-windows-x86_64 |
If you have cargo-binstall, it downloads pre-built binaries instead of compiling from source:
cargo binstall fossil-mcpcargo install fossil-mcpThis downloads the source from crates.io and compiles it locally. Requires a Rust toolchain.
git clone https://github.com/yfedoseev/fossil-mcp.git
cd fossil-mcp
cargo build --releaseThe binary is at ./target/release/fossil-mcp.
fossil-mcp updateFossil runs as an MCP server by default — just run fossil-mcp with no arguments. Connect it to your AI coding tool:
Claude Code
claude mcp add fossil fossil-mcpOpenAI Codex
Add to your Codex MCP configuration:
{
"mcpServers": {
"fossil": {
"command": "fossil-mcp"
}
}
}Cursor
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"fossil": {
"command": "fossil-mcp"
}
}
}Or click the Cursor install button above.
VS Code / VS Code Insiders
Add to .vscode/mcp.json in your workspace:
{
"mcp": {
"servers": {
"fossil": {
"command": "fossil-mcp"
}
}
}
}Or click the VS Code install button above.
Windsurf
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"fossil": {
"command": "fossil-mcp"
}
}
}Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"fossil": {
"command": "fossil-mcp"
}
}
}Once connected, your AI agent has access to these tools:
| Tool | Description |
|---|---|
scan_all |
Run all analyses (dead code + clones + scaffolding) on a project |
analyze_dead_code |
Detect unreachable code with configurable confidence |
detect_clones |
Find duplicated code (Type 1/2/3 clones) |
fossil_refresh |
Incremental re-analysis after file changes (fast) |
fossil_inspect |
Inspect call graph, data flow, control flow, or blast radius for any function |
fossil_trace |
Find call paths between two functions — understand how code connects |
fossil_explain_finding |
Get rich context about a specific finding |
fossil_detect_scaffolding |
Find AI scaffolding: phased comments, TODOs, placeholders, and temp files |
Fossil has four modes of operation:
| Mode | How to invoke | What it does |
|---|---|---|
| Interactive | fossil-mcp (no args) |
Runs full scan + opens interactive REPL to explore findings |
| CLI | fossil-mcp <command> |
Run a specific analysis command |
| MCP Server | fossil-mcp mcp or piped stdin |
JSON-RPC server for AI coding tools |
| CI/CD | fossil-mcp check |
Fail builds when thresholds exceeded |
Running fossil-mcp with no arguments (or fossil-mcp scan .) scans the current directory for dead code, clones, and scaffolding, shows a dashboard, then drops into an interactive REPL:
FOSSIL Scanning .
────────────────────────────────────────────────
✓ 1200 nodes analyzed, 42 unreachable
✓ 380 files analyzed, 8 clone groups
✓ 3 scaffolding artifacts
══════════════════════════════════════════════════
RESULTS 53 findings across 28 files
══════════════════════════════════════════════════
▐ Dead Code 42 ██████████████░░
▐ Clones 8 ██░░░░░░░░░░░░░░ 120 duplicated lines
▐ Scaffolding 3 █░░░░░░░░░░░░░░░
fossil>
All exploration commands support optional count and language filter: command [N] [lang]
fossil> dead 10 # Top 10 dead code findings
fossil> dead 20 typescript # Top 20 dead code in TypeScript
fossil> clones 5 rust # Top 5 clone groups in Rust
fossil> scaffolding # All scaffolding findings
fossil> scaffolding 10 python # Top 10 scaffolding in Python
fossil> hotspots # Files with most findings
fossil> hotspots 10 go # Top 10 hotspot files in Go
fossil> file auth.ts # All findings in a specific file
fossil> langs # Language breakdown
fossil> export sarif # Export full SARIF report
fossil> summary # Re-show dashboard
fossil> q # Quit
Run all analyses (dead code + clones + scaffolding) with interactive dashboard.
fossil-mcp scan .
fossil-mcp scan /path/to/project --format sarif -o results.sarif
fossil-mcp scan /path/to/project --format jsonDead code detection only.
fossil-mcp dead-code .
fossil-mcp dead-code . --min-confidence high
fossil-mcp dead-code . --min-lines 10
fossil-mcp dead-code . --language rust,python
fossil-mcp dead-code . --diff main # Only changed files
fossil-mcp dead-code . --stats # Show graph statistics
fossil-mcp dead-code . --cache-dir .fossil-cache # Persistent cache
fossil-mcp dead-code . --cache-stats # Cache hit rate| Flag | Description |
|---|---|
--min-confidence <LEVEL> |
Filter by confidence: low, medium, high, certain |
--min-lines <N> |
Minimum lines of code for a finding |
--language <LANGS> |
Filter by language (comma-separated): rust,python,go |
--include-tests |
Include test-only code in results |
--diff <BRANCH> |
Only analyze files changed vs base branch |
--stats |
Print graph cardinality estimates (HyperLogLog) |
--cache-dir <PATH> |
Persistent cache directory for incremental analysis |
--cache-stats |
Print cache hit rate and memory usage |
Clone (duplicated code) detection only.
fossil-mcp clones .
fossil-mcp clones . --min-lines 10
fossil-mcp clones . --similarity 0.9
fossil-mcp clones . --language typescript
fossil-mcp clones . --types type1,type2| Flag | Description |
|---|---|
--min-lines <N> |
Minimum lines for a clone (default: 6) |
--similarity <F> |
Similarity threshold 0.0–1.0 for Type 3 clones (default: 0.8) |
--types <TYPES> |
Clone types to detect: type1,type2,type3 (default: all) |
--language <LANGS> |
Filter by language (comma-separated) |
Detect AI-generated scaffolding artifacts.
fossil-mcp scaffolding .
fossil-mcp scaffolding . --language rust
fossil-mcp scaffolding . --include-todos
fossil-mcp scaffolding . --format json| Flag | Description |
|---|---|
--language <LANGS> |
Filter by language (comma-separated) |
--include-todos |
Include TODO/FIXME/HACK markers (excluded by default) |
Detects: placeholder bodies (pass, todo!(), unimplemented!()), phased comments (Phase 1, Step 2), scaffolding identifiers (scaffold_*, boilerplate_*), debug prints, and temp files (temp_*, backup_*, old_*).
CI/CD mode — fails builds when thresholds are exceeded. See CI/CD Integration for full details.
fossil-mcp check
fossil-mcp check --max-dead-code 10 --max-clones 5
fossil-mcp check --diff origin/main
fossil-mcp check --diff origin/main --format sarif
fossil-mcp check --fail-on-scaffolding| Flag | Description |
|---|---|
--max-dead-code <N> |
Maximum dead code findings allowed |
--max-clones <N> |
Maximum clone findings allowed |
--max-scaffolding <N> |
Maximum scaffolding findings allowed |
--min-confidence <LEVEL> |
Minimum confidence for counting findings |
--diff <BRANCH> |
Only check files changed vs base branch |
--fail-on-scaffolding |
Fail if any scaffolding artifacts found |
Show the weekly AI slop rankings across open-source projects.
fossil-mcp weekly
fossil-mcp weekly --detailedUpdate fossil-mcp to the latest version.
fossil-mcp update
fossil-mcp update --check # Check without installingStart the MCP server explicitly (normally auto-detected via piped stdin).
These flags work with all commands:
| Flag | Description |
|---|---|
--format <FMT> |
Output format: text, json, sarif (default: text) |
-o, --output <FILE> |
Write output to file instead of stdout |
-q, --quiet |
Suppress all non-error output |
-v, --verbose |
Enable debug logging |
-c, --config <FILE> |
Path to config file |
| Language | Extensions |
|---|---|
| Python | .py |
| JavaScript | .js, .jsx, .mjs |
| TypeScript | .ts, .tsx |
| Rust | .rs |
| Go | .go |
| Java | .java |
| C# | .cs |
| C/C++ | .c, .h, .cpp, .cc, .cxx, .hpp |
| Ruby | .rb |
| PHP | .php |
| Swift | .swift |
| Kotlin | .kt |
| Scala | .scala |
| Bash | .sh, .bash |
| R | .r, .R |
Fossil works with zero configuration. All settings have sensible defaults. If you need to customize behavior, create a fossil.toml in your project root:
[dead_code]
min_confidence = "high" # low, medium, high, certain
include_tests = false
exclude_patterns = ["generated/**", "vendor/**"]
[clones]
min_lines = 6
similarity_threshold = 0.8
[entry_points]
# Mark additional functions as entry points (won't be flagged as dead)
functions = ["custom_handler", "my_entry"]
# Additional entry point attributes/decorators
attributes = ["MyFramework::route"]
# Framework presets (auto-detected by default)
presets = ["axum", "react"]
auto_detect_presets = trueConfig is auto-discovered from these filenames: fossil.toml, .fossil.toml, fossil.yml, fossil.yaml, fossil.json.
Environment variables override config file values:
| Variable | Effect |
|---|---|
FOSSIL_MIN_CONFIDENCE |
Minimum confidence for dead code findings |
FOSSIL_MIN_LINES |
Minimum lines for clone detection |
FOSSIL_SIMILARITY |
Similarity threshold for Type 3 clones |
FOSSIL_OUTPUT_FORMAT |
Output format (text, json, sarif) |
Presets are auto-detected from project dependencies. They tell Fossil which functions are framework entry points (lifecycle hooks, route handlers, etc.) so they aren't flagged as dead code:
| Preset | Detected by | Entry points recognized |
|---|---|---|
react |
react in deps |
componentDidMount, render, useEffect, ... |
nextjs |
next in deps |
getServerSideProps, getStaticProps, ... |
express |
express in deps |
router.* patterns |
django |
django in deps |
get, post, URL pattern handlers |
flask |
flask in deps |
app.route patterns |
spring |
spring-boot in deps |
@Bean, @Controller, @Service, ... |
axum |
axum in deps |
#[tokio::main], #[debug_handler] |
actix |
actix-web in deps |
#[actix_web::main], #[get], #[post], ... |
angular |
@angular/core in deps |
ngOnInit, ngOnDestroy, ... |
Fossil includes a check command for CI/CD pipelines. It fails builds when code quality thresholds are exceeded, helping teams enforce code standards and prevent technical debt from accumulating.
# Check against configured thresholds
fossil-mcp check
# Override thresholds via CLI
fossil-mcp check --max-dead-code 10 --max-clones 5
# Diff-aware mode (only analyze changed files in PR)
fossil-mcp check --diff origin/main
# Generate SARIF for GitHub code scanning
fossil-mcp check --diff origin/main --format sarif
# Quiet mode (no diagnostic output)
fossil-mcp check --quietAdd a [ci] section to fossil.toml:
[ci]
max_dead_code = 10 # Maximum dead code findings (0 = fail on any)
max_clones = 5 # Maximum clone findings
max_scaffolding = 3 # Maximum scaffolding findings
min_confidence = "medium" # Minimum confidence (low|medium|high|certain)
fail_on_scaffolding = false # Fail if any scaffolding foundCreate .github/workflows/fossil-check.yml:
name: Fossil CI Check
on:
pull_request:
push:
branches: [main]
jobs:
fossil:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Install Fossil
run: curl -fsSL fossil-mcp.com/install.sh | sh
- name: Run Fossil check
run: |
fossil-mcp check \
--diff origin/${{ github.base_ref || 'main' }} \
--format sarif \
> fossil-results.sarif
- name: Upload to GitHub Security
if: always()
uses: github/codeql-action/upload-sarif@v3
with:
sarif_file: fossil-results.sarif- Scans the project using the same analysis engine as
scan - Optionally filters to only changed files (via
--diff branch) - Evaluates against configured thresholds
- Reports findings as text, JSON, or SARIF
- Exits with code 1 if thresholds exceeded (fails CI build)
| Code | Meaning |
|---|---|
| 0 | All thresholds passed ✓ |
| 1 | Threshold exceeded (build fails) |
| 2 | Error (missing git, invalid config, etc.) |
For complete examples, see examples/fossil.toml and examples/fossil-check.yml.
- Scan — walks project files, respects
.gitignore, skips vendored/generated code - Parse — builds tree-sitter ASTs for each source file (16 languages)
- Extract — pulls functions, calls, imports, attributes, and class hierarchy from ASTs
- Graph — builds a cross-file
CodeGraphwith import resolution and barrel re-export support - Analyze — detects entry points (via heuristics + framework presets), runs reachability analysis, identifies dead code and clones
- Report — outputs findings as text dashboard, JSON, or SARIF
We welcome contributions! Please see CONTRIBUTING.md for guidelines.
Licensed under either of Apache License, Version 2.0 or MIT License at your option.