Arbor

Name: Arbor
Author: anandb71

by anandb71communityv1.0.0

117

Arbor is a tool that builds a semantic dependency graph for codebases, enabling users to analyze the impact of changes before they are made. It provides deterministic impact analysis and supports multiple programming languages.

From the registry: The Graph-Native Intelligence Layer for Code.

GitHub Repository

Install & configure

Prerequisites

required
Install Arbor CLI
Install the Arbor CLI via cargo, Homebrew, Scoop, or Docker
```
$ cargo install arbor-graph-cli
```
required
Initialize in repository
Run arbor setup in your target project
```
$ arbor setup
```

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `arbor` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Install Arbor CLI** — Install the Arbor CLI via cargo, Homebrew, Scoop, or Docker Run: `cargo install arbor-graph-cli`
- **Initialize in repository** — Run arbor setup in your target project Run: `arbor setup`

Canonical MCP server config (stdio transport):
- command: `arbor`
- args: ["bridge"]

Note: Built-in MCP server via 'arbor bridge' (stdio). Rust-based graph analysis for codebases. Full install options include Homebrew, Scoop, npm wrapper (@anandb71/arbor-cli), Docker (ghcr.io/anandb71/arbor).

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: Built-in MCP server via 'arbor bridge' (stdio). Rust-based graph analysis for codebases. Full install options include Homebrew, Scoop, npm wrapper (@anandb71/arbor-cli), Docker (ghcr.io/anandb71/arbor).