Code to Tree
MCP server implementation by Michael Lee that provides AI assistants with accurate Abstract Syntax Tree (AST) generation from source code across multiple programming languages including C, C++, Rust, Go, Ruby, Python, and Java. Built in C using tree-sitter parsers and the mcpc library, the implementation compiles into a single standalone binary with minimal dependencies, eliminating the need for language-specific runtime environments or complex toolchain installations. The server converts source code into S-expression formatted AST representations, making it valuable for code analysis workflows, educational tools demonstrating language syntax structures, and AI applications requiring precise understanding of code semantics rather than just text-based parsing.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- other
- Source
- PulseMCP
- Repository
- github.com/micl2e2/code-to-tree
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Code to Tree from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.