v3.1.0

Arbor v3.1.0

Installation

# macOS / Linux (prebuilt binary)
curl -fsSL https://raw.githubusercontent.com/Anandb71/arbor/main/scripts/install.sh | bash -s -- --version v3.1.0

# Windows (PowerShell)
iwr https://raw.githubusercontent.com/Anandb71/arbor/main/scripts/install.ps1 -OutFile install.ps1; .\install.ps1 -Version v3.1.0

# Cargo (builds from this tag)
cargo install --git https://github.com/Anandb71/arbor --tag v3.1.0 arbor-graph-cli

# npm
npx @anandb71/arbor-cli@3.1.0

# Docker
docker pull ghcr.io/anandb71/arbor:v3.1.0

Assets

Platform	Architecture	File
Linux	x86_64	arbor-linux-x86_64.tar.gz
Linux	aarch64	arbor-linux-aarch64.tar.gz
macOS	x86_64	arbor-macos-x86_64.tar.gz
macOS	Apple Silicon	arbor-macos-aarch64.tar.gz
Windows	x86_64	arbor-windows-x86_64.zip

Verify a download

sha256sum -c SHA256SUMS --ignore-missing
# Check that an archive was built by this repository's release workflow
gh attestation verify arbor-linux-x86_64.tar.gz --repo Anandb71/arbor

What's Changed

• chore: Homebrew and Scoop manifests for v3.0.5 by @Anandb71 in #269
• feat: find OpenAI, Anthropic and Gemini SDK usages in Python (arbor usages) by @Anandb71 in #276
• feat: arbor retirements — find code that calls retiring AI models by @Anandb71 in #277
• release: v3.1.0 — arbor usages and arbor retirements by @Anandb71 in #279

Full Changelog: v3.0.5...v3.1.0

🤖 Arbor MCP Quick Install

Use Arbor as a local MCP server in your AI client:

Claude Code (project-scoped)

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

In Claude Code, run:

/mcp

Cursor MCP config (.cursor/mcp.json)

{
  "mcpServers": {
    "arbor": {
      "command": "arbor",
      "args": ["bridge"]
    }
  }
}

VS Code MCP config (.vscode/mcp.json)

{
  "servers": {
    "arbor": {
      "type": "stdio",
      "command": "arbor",
      "args": ["bridge"]
    }
  },
  "inputs": []
}

MCP Directories

• Glama: https://glama.ai/mcp/servers/@Anandb71/arbor
• Skills Playground: https://skillsplayground.com/mcps/nandb71-arbor/