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Arbor

anandb71/arbor
122registry active
Summary

Arbor builds a semantic dependency graph of your codebase and exposes it through 10 MCP tools that answer execution-aware questions like "what breaks if I change this symbol?" Six surgical tools (get_callers, get_callees, search_symbols, get_node_detail, get_file_graph, list_entry_points) let agents traverse the graph precisely, while four broader tools handle impact analysis and pathfinding. Every response includes suggested_next_tool hints so Claude can chain queries without re-prompting. Install via `arbor bridge` for stdio transport, then run `arbor setup` in your project to build the initial graph. Works across Rust, TypeScript, Python, Go, Java, and more. Particularly useful when refactoring, reviewing blast radius before merge, or letting AI assistants understand architectural dependencies instead of treating code as flat text.

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Arbor logo

Arbor

Graph-native intelligence for codebases.

Know what breaks before you break it.

Rust CI Crates.io Latest release GHCR Glama MCP Directory MIT License


Table of Contents

  • The Arbor Philosophy
  • Why Arbor
  • What you get
  • Visual tour
  • Quickstart
  • Installation options
  • MCP integration
  • Language support
  • Architecture and docs
  • Git-aware CI workflows
  • Release channels
  • Contributing
  • Contributors
  • Security
  • License

The Arbor Philosophy

Arbor is rooted in three unwavering principles, listed in strict order of priority. Every architectural decision is measured against this hierarchy:

  1. Consumer First: Tooling must be beautiful, intuitive, and instantly useful out of the box. The developer experience triumphs over all other metrics.
  2. Accessibility Second: Deep AI intelligence and graph analysis should never be gatekept. Our tooling is built to work seamlessly across language ecosystems and run deterministically on any machine.
  3. Affordability Next: We ruthlessly optimize for minimal computational overhead. From edge laptops to giant monoliths, graph exploration should have zero-friction adoption.

For comprehensive details on our approach, read our PHILOSOPHY.md.


Why Arbor

Most AI code tooling treats code as text retrieval.

Arbor builds a semantic dependency graph and answers execution-aware questions:

  • If I change this symbol, what breaks?
  • Who calls this function, directly and transitively?
  • What is the shortest architectural path between these two nodes?

You get deterministic, explainable impact analysis instead of approximate keyword matches.


What you get

  • Blast radius analysis: See exactly which files and modules will be affected by a change (complete with depth confidence levels) before you ever press save.
  • Graph-backed symbol resolution: Accurately tracks dependencies across files and entire language boundaries automatically.
  • Agent-native MCP (v2.1.0): 10 MCP tools — surgical traversal (get_callers, get_callees, list_entry_points, search_symbols, get_file_graph, get_node_detail) plus broad analysis tools, all returning a suggested_next_tool hint for zero-reprompt agent chaining.
  • Unified Tooling (CLI + GUI + MCP): Native desktop GUI, a blazing fast CLI, and Claude/AI Model Context Protocol integration all utilizing the exact same core analytical reasoning engine.
  • Git-aware risk gating: Block pull-requests automatically in your CI/CD if a PR introduces a dangerously high architectural blast radius.
  • Lightning fast incremental indexing: Sub-second background cache updates instantly tracking your code edits in real-time.

Visual tour

Arbor demo animation

Arbor visualizer screenshot

For a full-screen recording of the workflow, see media/recording-2026-01-13.mp4.


Quickstart

# 1) Install the Arbor CLI globally via Cargo
cargo install arbor-graph-cli

# 2) Initialize Arbor and build the dependency graph for your codebase
cd your-project
arbor setup

# 3) See EVERYTHING a function touches before you break it
arbor refactor <symbol-name>

# 4) Run safety checks (Great for CI/CD or before committing)
arbor diff  # See what your uncommitted git changes impact
arbor check --max-blast-radius 30  # Fail the checks if your changes break more than 30 nodes

# 5) Launch the visual interface to intuitively explore your code's architecture
arbor gui

Installation options

Use whichever channel fits your environment:

# Rust / Cargo
cargo install arbor-graph-cli

# Homebrew (macOS/Linux)
brew install Anandb71/tap/arbor

# Scoop (Windows)
scoop bucket add arbor https://github.com/Anandb71/arbor
scoop install arbor

# npm wrapper (cross-platform)
npx @anandb71/arbor-cli

# Docker
docker pull ghcr.io/anandb71/arbor:latest

No-Rust installers:

  • macOS/Linux: curl -fsSL https://raw.githubusercontent.com/Anandb71/arbor/main/scripts/install.sh | bash
  • Windows PowerShell: irm https://raw.githubusercontent.com/Anandb71/arbor/main/scripts/install.ps1 | iex

For pinned/versioned installs, see docs/INSTALL.md.


MCP integration

Arbor includes a real MCP server via arbor bridge (stdio transport). v2.1.0 adds 10 tools — 6 surgical tools for precise graph traversal and 4 broad tools for architectural analysis.

Claude Code quick install

claude mcp add --transport stdio --scope project arbor -- arbor bridge
claude mcp list

Available tools

Surgical (v2.1.0): list_entry_points · get_callers · get_callees · search_symbols · get_file_graph · get_node_detail

Broad: get_logic_path · analyze_impact · find_path · get_knowledge_path

All tools return a standard envelope with suggested_next_tool + suggested_next_args so agents can chain calls without re-prompting.

Multi-client setup

  • Full guide: docs/MCP_INTEGRATION.md
  • Ready templates: templates/mcp/
  • Bootstrap scripts:
    • scripts/setup-mcp.sh
    • scripts/setup-mcp.ps1

Registry verification (authoritative)

  • Registry name: io.github.Anandb71/arbor
  • Official API lookup: https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.Anandb71/arbor

[!NOTE] github.com/mcp search UI may lag indexing. Use the official registry API lookup above as source of truth.


Language support

Arbor supports production parsing and graph analysis across major ecosystems:

  • Rust
  • TypeScript / JavaScript
  • Python
  • Go
  • Java
  • C / C++
  • C# (Native Tree-sitter)
  • Dart
  • Kotlin (fallback parser)
  • Swift (fallback parser)
  • Ruby (fallback parser)
  • PHP (fallback parser)
  • Shell (fallback parser)

Detailed parser notes and expansion guidance:

  • docs/ADDING_LANGUAGES.md
  • docs/ARCHITECTURE.md

Architecture and docs

Start here when you need deeper internals:

  • docs/QUICKSTART.md
  • docs/ARCHITECTURE.md
  • docs/GRAPH_SCHEMA.md
  • docs/PROTOCOL.md
  • docs/MCP_INTEGRATION.md
  • docs/ROADMAP.md

Git-aware CI workflows

Arbor supports pre-merge risk checks and change gating:

arbor diff --markdown
arbor check --max-blast-radius 30 --markdown
arbor summary

Use the repository GitHub Action for CI integration:

name: Arbor Check
on: [pull_request]

jobs:
  arbor:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0 # needed for full diff comparison
      
      - uses: Anandb71/arbor@v2.2.0
        with:
          command: check . --max-blast-radius 30 --markdown
          comment-on-pr: true # posts/updates report directly on the PR
          github-token: ${{ secrets.GITHUB_TOKEN }}

Release channels

Automated release distribution includes:

  • GitHub Releases (platform binaries)
  • crates.io
  • GHCR container images
  • npm wrapper package
  • VS Code Marketplace / Open VSX extension channels
  • Homebrew + Scoop

Runbook: docs/RELEASING.md


Contributing

Contributions are welcome.

  • Start with: CONTRIBUTING.md
  • Code of conduct: CODE_OF_CONDUCT.md
  • Security policy: SECURITY.md
  • Good first tasks: docs/GOOD_FIRST_ISSUES.md

For local development:

cargo build --workspace
cargo test --workspace

Contributors

Anandb71 holg cabinlab Karthiksenthilkumar1 sanjayy-j sathguru07

6 contributors | View all


Security

Arbor is local-first by design:

  • No mandatory data exfiltration
  • Offline-capable workflows
  • Open-source code paths

Report vulnerabilities via SECURITY.md.


License

MIT — see LICENSE.

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Registryactive
UpdatedJan 7, 2026
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