arbor
This server provides graph-based codebase analysis through two core operations:
Trace Logic Paths (
get_logic_path) - Follow the call graph to discover all dependencies and usages of a specific function or class, revealing how code flows through your projectAnalyze Refactoring Impact (
analyze_impact) - Calculate the "blast radius" of changing a code element to understand what will be affected before making modifications, including direct callers and transitive dependencies
Key capabilities:
Deterministic Results - Uses Arbor's semantic dependency graph for execution-aware analysis rather than text matching, with confidence scoring (High/Medium/Low)
AI Integration - Implements Model Context Protocol (MCP) enabling LLMs like Claude to query the graph directly for structurally-accurate code analysis
Multi-Language Support - Works across 10+ languages (Rust, TypeScript, Python, Go, Java, C/C++, C#, Dart, JavaScript) with cross-file symbol resolution
Local Privacy - All analysis happens locally with no data leaving your machine
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@arborshow me all functions that call the authentication service"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Arbor
Graph-native intelligence for codebases.
Know what breaks before you break it.
Table of Contents
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 with confidence levels and role classification
Graph-backed symbol resolution across files and language boundaries
CLI + GUI + MCP bridge sharing the same analysis engine
Incremental indexing for fast inner-loop development
Git-aware checks for pull-request risk gates
Visual tour
For a full-screen recording of the workflow, see media/recording-2026-01-13.mp4.
Quickstart
# 1) Install Arbor CLI
cargo install arbor-graph-cli
# 2) Initialize in your repository
cd your-project
arbor setup
# 3) Explore impact before refactor
arbor refactor <symbol-name>
# 4) Optional: run git-aware checks
arbor diff
arbor check --max-blast-radius 30
# 5) Launch GUI
arbor guiInstallation 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:latestNo-Rust installers:
macOS/Linux:
curl -fsSL https://raw.githubusercontent.com/Anandb71/arbor/main/scripts/install.sh | bashWindows 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).
Claude Code quick install
claude mcp add --transport stdio --scope project arbor -- arbor bridge
claude mcp listMulti-client setup
Full guide: docs/MCP_INTEGRATION.md
Ready templates:
templates/mcp/Bootstrap scripts:
scripts/setup-mcp.shscripts/setup-mcp.ps1
Registry verification (authoritative)
Registry name:
io.github.Anandb71/arborOfficial API lookup: https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.Anandb71/arbor
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#
Dart
Kotlin (fallback parser)
Swift (fallback parser)
Ruby (fallback parser)
PHP (fallback parser)
Shell (fallback parser)
Detailed parser notes and expansion guidance:
Architecture and docs
Start here when you need deeper internals:
Git-aware CI workflows
Arbor supports pre-merge risk checks and change gating:
arbor diff
arbor check --max-blast-radius 30
arbor open <symbol>Use the repository GitHub Action for CI integration:
name: Arbor Check
on: [pull_request]
jobs:
arbor:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v5
- uses: Anandb71/arbor@release/v1.8
with:
command: check . --max-blast-radius 30Release 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 --workspaceContributors
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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