code-to-tree: A runtime-free MCP server that converts source code into AST , regardless of language

by micl2e2 · MCP Server · ★ 89

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

abstract-syntax-treeagenticastclaudedependency-freellmmcpmcp-servermcp-toolsno-runtime-dependencies

Quick Facts

Stars89
Forks12
LanguageC
CategoryMCP Server
LicenseMIT
Quality Score62/100
Open Issues1
Last Updated2026-03-14
Created2025-05-17
Platformsclaude-code, mcp
Est. Tokens~40k

About code-to-tree

Table of Contents MCP Server: code-to-tree Using code-to-tree Configure MCP Clients Building (Windows) Building (macOS) MCP Server: code-to-tree The code-to-tree server's goals are: Give LLMs the capability of accurately converting source code into AST(Abstract Syntax Tree), regardless of language. One standalone binary should be everything the MCP client needs.

Compatible Skills

These tools work well together with code-to-tree for enhanced workflows:

  • Nexus-skills — semantic(0.19)+complementary+rare_topics+similar_pop+shared_platform (51%)

code-to-tree alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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