code-to-tree — MCP Server by micl2e2

by micl2e2 · MCP Server · ★ 82

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

About code-to-tree

A runtime-free MCP server that converts source code into AST🌲, regardless of language.

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

Quick Facts

Stars82
Forks13
LanguageC
CategoryMCP Server
LicenseMIT
Quality Score38.75/100
Open Issues1
Last Updated2026-03-14
Created2025-05-17
Platformsclaude-code, mcp
Est. Tokens~40k

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

Looking for a code-to-tree alternative? If you're comparing code-to-tree with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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    We handle what engineers and IDEs won't: generating and maintaining technical documentation for your codebase,

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Frequently Asked Questions

What is code-to-tree?

code-to-tree is A runtime-free MCP server that converts source code into AST🌲, regardless of language.. It is categorized as a MCP Server with 82 GitHub stars.

What programming language is code-to-tree written in?

code-to-tree is primarily written in C. It covers topics such as abstract-syntax-tree, agentic, ast.

How do I install or use code-to-tree?

You can find installation instructions and usage details in the code-to-tree GitHub repository at github.com/micl2e2/code-to-tree. The project has 82 stars and 13 forks, indicating an active community.

What license does code-to-tree use?

code-to-tree is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to code-to-tree?

The top alternatives to code-to-tree on Agent Skills Hub include ollama-mcp, xclaude-plugin, volcano-agent-sdk. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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