1. Conduid
  2. Agents
  3. ContribAI
MCP server · Agents

ContribAI

Autonomous AI agent that contributes to open source — discovers repos, analyzes code, generates fixes, and submits PRs

52Fair

Scored 6 months ago · breakdown

About ContribAI

ContribAI is an MCP server in the Agents category: autonomous AI agent that contributes to open source — discovers repos, analyzes code, generates fixes, and submits PRs.

Install

From source
git clone https://github.com/tang-vu/ContribAI

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about ContribAI

Powered by Claude · Grounded in docs

I know everything about ContribAI. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

ContribAI

Autonomous AI agent that discovers, analyzes, and submitsPull Requests to open source projects on GitHub.

Rust Version License Tests PRs Merged

Getting Started · Features · Commands · Architecture · Hall of Fame

Set it up once. Wake up to merged PRs.

🏆 Track Record

Metric
PRs Submitted 44+
PRs Merged 10
Repos Contributed 21+
Languages Analyzed 13

Notable Contributions:

🌍 Worldmonitor — 45k ⭐ · 3 merged 🕵️ Maigret — 19k ⭐ · 3 merged 🤖 AI-Research-SKILLs — 6k ⭐ · 1 merged 📊 s-tui — 5k ⭐ · 1 merged 🔍 HolmesGPT — 2k ⭐ · 1 merged

See the full Hall of Fame → for every PR with links.


⚡ How It Works

┌─────────────┐     ┌─────────────┐     ┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│  Discovery  │────▶│  Analysis   │────▶│  Generator  │────▶│  PR + CI    │────▶│   Patrol    │
│             │     │             │     │             │     │             │     │             │
│ Search repos│     │ 13-lang AST │     │ LLM-powered │     │ Fork, commit│     │ Auto-fix    │
│ by language │     │ 27 skills   │     │ code gen +  │     │ create PR   │     │ review      │
│ and stars   │     │ security,   │     │ self-review │     │ sign CLA    │     │ feedback    │
│             │     │ quality,    │     │ + scoring   │     │ monitor CI  │     │ & reply     │
│             │     │ performance │     │             │     │             │     │             │
└─────────────┘     └─────────────┘     └─────────────┘     └─────────────┘     └─────────────┘

🚀 Getting Started

Install

# Build from source (recommended)
git clone https://github.com/tang-vu/ContribAI.git && cd ContribAI
cargo install --path crates/contribai-rs

# Or one-line install
curl -fsSL https://raw.githubusercontent.com/tang-vu/ContribAI/main/install.sh | bash
# Windows:
irm https://raw.githubusercontent.com/tang-vu/ContribAI/main/install.ps1 | iex

Configure

contribai init     # Interactive setup wizard
contribai login    # Verify auth + switch LLM providers

Run

contribai hunt                # Autonomous: discover → analyze → PR
contribai target <repo_url>   # Target a specific repo
contribai analyze <repo_url>  # Dry-run analysis (no PRs)
contribai interactive         # Browse in ratatui TUI
github:
  token: "ghp_your_token"       # or set GITHUB_TOKEN env var

llm:
  provider: "gemini"            # gemini | openai | anthropic | ollama | vertex
  model: "gemini-3-flash-preview"
  api_key: "your_api_key"       # or set GEMINI_API_KEY env var
  # base_url: "https://api.openai.com/v1"  # Optional: override default endpoint for OpenAI-compatible providers

discovery:
  languages:                    # default: all 15 languages
    - python
    - javascript
    - typescript
    - go
    - rust
  stars_range: [100, 5000]

See config.yaml.template for all options.


✨ Features

🔍 Code Analysis

  • 13-language AST via tree-sitter
  • Security: SQLi, XSS, resource leaks
  • Code quality, complexity, dead code
  • Performance bottlenecks
  • Documentation gaps
  • 27 progressive skills loaded on-demand

🤖 Multi-LLM Support

  • Gemini 3.x (default) — Flash, Pro, Lite tiers
  • OpenAI, Anthropic, Ollama, Vertex AI
  • Smart task routing across model tiers
  • 5 specialized sub-agents

🎯 Hunt Mode

  • Multi-round autonomous hunting
  • Issue-first strategy
  • Cross-file fixes
  • Outcome learning per repo

👁 PR Patrol

  • Monitors PRs for review feedback
  • LLM-classifies maintainer comments
  • Auto-pushes code fixes
  • Auto-replies to questions
  • Auto-cleans stale PRs from memory

🔌 Integrations

  • MCP Server — 21 tools for Claude Desktop
  • Web Dashboard — axum REST API at :8787
  • Cron Scheduler — automated runs
  • Docker — compose-ready deployment
  • Webhooks — Slack, Discord, Telegram

🛡 Safety

  • AI policy detection
  • CLA auto-signing
  • Quality gate scoring
  • Duplicate PR prevention
  • Protected file guardrails

Supported Languages

Deep AST (tree-sitter) Fallback Parser
Python · JavaScript · TypeScript · Go · Rust · Java Kotlin → Java
C · C++ · Ruby · PHP · C# · HTML · CSS Swift → Java · Vue/Svelte → HTML

📖 Commands

ContribAI ships with 40+ commands accessible via CLI or interactive menu.

contribai hunt                        # Autonomous discovery + PRs
contribai hunt --dry-run              # Analyze only, no PRs
contribai run                         # Single pipeline run
contribai target <url>                # Target specific repo
contribai analyze <url>               # Dry-run analysis
contribai solve <url>                 # Solve open issues
contribai patrol                      # Respond to PR reviews
contribai status                      # PR status table
contribai stats                       # Contribution statistics
contribai leaderboard                 # Merge rate by repo
contribai system-status               # DB, rate limits, scheduler
contribai                             # Interactive menu (22 items)
contribai interactive                 # ratatui TUI browser
contribai init                        # Setup wizard
contribai login                       # Interactive auth + provider config
contribai config-list                 # Show all config
contribai config-get llm.provider     # Get config value
contribai config-set llm.provider openai  # Set config value
contribai profile security-focused    # Named profile
contribai web-server                  # Dashboard at :8787
contribai schedule                    # Cron scheduler
contribai mcp-server                  # MCP stdio server
contribai cleanup                     # Remove stale forks
contribai notify-test                 # Test Slack/Discord/Telegram

🏗 Architecture

ContribAI/
├── crates/contribai-rs/src/        ← Rust v6.8.0 (primary)
│   ├── cli/                        40+ commands + ratatui TUI
│   ├── core/                       Config, events, error types
│   ├── github/                     REST v3 + GraphQL client
│   ├── analysis/                   13-lang AST + 27 skills
│   ├── generator/                  LLM code generation + scoring
│   ├── orchestrator/               Pipeline + SQLite memory (72h TTL)
│   ├── llm/                        Multi-provider + 5 sub-agents
│   ├── pr/                         PR lifecycle + patrol + CI
│   ├── mcp/                        21-tool MCP server (stdio)
│   ├── web/                        axum dashboard + webhooks
│   ├── sandbox/                    Docker + local fallback
│   └── tools/                      Tool protocol interface
│
└── python/                         Legacy v4.1.0 (reference only)
Layer Technology
Language Rust 2021 (primary), Python 3.11+ (legacy)
Async Tokio (full), async/await throughout
HTTP reqwest 0.12 (async, rustls-tls)
Database SQLite (rusqlite, bundled)
LLM Gemini 3.x, OpenAI, Anthropic, Ollama, Vertex AI
GitHub REST API v3 + GraphQL
AST tree-sitter (13 languages)
Web axum 0.7 + tower-http
TUI ratatui + crossterm
CLI clap v4 + dialoguer + colored
Tests 602 tests (mockall, wiremock, tokio-test, criterion)

See docs/system-architecture.md for the full design.


🧪 Testing

cargo test                  # Run all 602 tests
cargo test -- --nocapture   # With stdout output
cargo test ast_intel        # AST module tests only
cargo clippy                # Lint check

🔌 MCP Server

Use ContribAI as a tool provider for Claude Desktop or Antigravity IDE:

{
  "mcpServers": {
    "contribai": {
      "command": "contribai",
      "args": ["mcp-server"]
    }
  }
}

21 tools available: repo analysis, PR management, GitHub search, issue solving, memory queries, and more.


🐳 Docker

docker compose up -d dashboard            # Dashboard at :8787
docker compose run --rm runner run        # One-shot pipeline run
docker compose up -d dashboard scheduler  # Dashboard + cron scheduler

📚 Documentation

Document Description
Hall of Fame 10 merged · 14 closed across 21+ repos
AGENTS.md AI agent guide — architecture, patterns, CLI reference
Deployment Guide Install, Docker, config, all 22 CLI commands
System Architecture Pipeline, middleware, events, LLM routing
Codebase Summary Module map, tech stack, data structures
Project Roadmap Version history and future plans

📄 License

AGPL-3.0 + Commons Clause — see LICENSE for details.


Built with Rust 🦀 and LLMs 🤖

Releases · Issues · Hall of Fame

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About ContribAI

How do I install ContribAI?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is ContribAI safe to use with an AI agent?

Its trust score is 52 out of 100 (fair). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is ContribAI still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.