Arbor
Arbor is a local-first, high-performance developer tool designed to bridge the gap between static code analysis and AI-driven development.
What is Arbor?
Arbor is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to arbor is a local-first, high-performance developer tool designed to bridge the gap between static code analysis and ai-driven development.
Arbor is a local-first, high-performance developer tool designed to bridge the gap between static code analysis and AI-driven development.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Arbor is a local-first, high-performance developer tool desi
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx arborConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Arbor
Arbor is a local-first, high-performance code intelligence tool that builds a dependency graph of your codebase using AST-based static analysis. It exposes that graph to AI agents through an MCP bridge, giving tools like Claude precise, real-time information about how symbols, files, and modules relate to one another. Developers use it to safely plan refactors, gauge blast radius before editing shared code, and enforce architectural thresholds in CI pipelines. It supports over a dozen languages including Rust, TypeScript, Python, Go, Java, Dart, and more.
Prerequisites
- Rust toolchain (cargo) OR Homebrew (macOS) OR Node.js/npx for the CLI install
- An MCP-compatible client such as Claude Desktop or Claude Code
- A codebase to index (any supported language: Rust, TypeScript, Python, Go, Java, C/C++, C#, Dart, Kotlin, Swift, Ruby, PHP)
Install the Arbor CLI
Choose the installation method that matches your environment. The cargo install builds from source; the Homebrew tap provides a pre-built binary for macOS; npx provides a zero-install option.
# Option A: cargo (requires Rust toolchain)
cargo install arbor-graph-cli
# Option B: Homebrew (macOS)
brew install Anandb71/tap/arbor
# Option C: npx (no install required)
npx @anandb71/arbor-cliBuild the dependency graph for your project
Run `arbor setup` from the root of your repository. Arbor will parse every source file, extract symbols, and persist an incremental graph cache so subsequent queries are sub-second.
cd /path/to/your/project
arbor setupRegister Arbor as an MCP server
Use the Claude Code CLI to add Arbor as a project-scoped MCP server over stdio. The `arbor bridge` command starts the MCP transport layer.
claude mcp add --transport stdio --scope project arbor -- arbor bridgeVerify available tools
After registration, confirm that the MCP tools are visible to your client. Arbor exposes two tool groups: surgical tools for precise queries and broad tools for graph traversal.
# Surgical tools: list_entry_points, get_callers, get_callees,
# search_symbols, get_file_graph, get_node_detail
# Broad tools: get_logic_path, analyze_impact, find_path,
# get_knowledge_pathOptional: enforce blast-radius thresholds in CI
Use `arbor check` to gate pull requests when a proposed change would affect more than a defined number of modules. Combine with `arbor diff` to analyse only uncommitted changes.
# Block if refactor touches more than 30 modules
arbor check --max-blast-radius 30
# Analyse only uncommitted changes
arbor diffArbor Examples
Client configuration (Claude Desktop)
Add the following to your claude_desktop_config.json. The `arbor bridge` subcommand starts the stdio MCP transport.
{
"mcpServers": {
"arbor": {
"command": "arbor",
"args": ["bridge"]
}
}
}Prompts to try
These prompts work once Arbor has indexed your codebase and the MCP bridge is running.
- "List all entry points in this codebase."
- "Which functions call the `processPayment` function?"
- "What files would be affected if I change the `UserRepository` class?"
- "Find the shortest dependency path between `AuthService` and `DatabasePool`."
- "Analyse the blast radius of refactoring the `config` module."Troubleshooting Arbor
`arbor setup` hangs or crashes on a large monorepo
Run `arbor setup` from a sub-directory to limit the index scope, or use `--max-blast-radius` to cap analysis depth. Ensure you have at least 512 MB of free RAM for large codebases.
Claude cannot see any Arbor tools after adding the MCP server
Confirm the `arbor` binary is on your PATH by running `which arbor`. If you installed via npx, replace the command with `npx` and add `@anandb71/arbor-cli` and `bridge` as args. Restart the MCP client after updating the config.
`arbor diff` shows no changes even though files were modified
Arbor's diff compares against the last indexed state. Run `arbor setup` again to refresh the graph, then re-run `arbor diff`.
Frequently Asked Questions about Arbor
What is Arbor?
Arbor is a Model Context Protocol (MCP) server that arbor is a local-first, high-performance developer tool designed to bridge the gap between static code analysis and ai-driven development. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Arbor?
Follow the installation instructions on the Arbor GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Arbor?
Arbor works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Arbor free to use?
Yes, Arbor is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Arbor in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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