arbor MCP Server
Anandb71/arbor
[](https://agentrank-ai.com/tool/Anandb71--arbor/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Graph-native code intelligence that replaces embedding-based RAG with deterministic program understanding.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Anandb71/arbor is a Rust tool licensed under MIT. Graph-native code intelligence that replaces embedding-based RAG with deterministic program understanding. Topics: ai-tools, ast, code-analysis, code-analysis-tool, developer-tools, flutter, graph, mcp, model-context-protocol, rust, static-analysis, tree-sitter, visualization.
Ranked #4960 out of 24846 indexed tools.
Has 12 contributors.
Ecosystem
Score Breakdown
160 stars → growing community
Last commit 1mo ago → moderate activity
9/67 issues closed → many open issues
12 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
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<strong>Code context for people and agents.</strong><br>
Find a function’s callers. Trace the path through your code.<br>
Know what breaks <em>before</em> you break it.
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<a href="https://github.com/Anandb71/arbor/actions"></a>
<a href="https://crates.io/crates/arbor-graph-cli"></a>
<a href="https://github.com/Anandb71/arbor/releases"></a>
<a href="https://github.com/Anandb71/arbor/pkgs/container/arbor"></a>
<a href="https://glama.ai/mcp/servers/@Anandb71/arbor"></a>
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<sub>Simulated replay — the <code>arbor</code> commands and their output are real (tokio @ 178k LOC). Methodology: <a href="docs/BENCHMARKS.md">BENCHMARKS.md</a Read full README on GitHub → Get the weekly AgentRank digest
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