| name | tree-sitter |
| description | AST-based code analysis using tree-sitter. Use for parsing code structure, extracting symbols, finding patterns with tree-sitter queries, analyzing complexity, and understanding code architecture. Supports Python, JavaScript, TypeScript, Go, Rust, C, C++, Swift, Java, Kotlin, Julia, and more. |
| version | 1.0.0 |
Tree-sitter Code Analysis
Intelligent code analysis via AST parsing with tree-sitter.
When to Use
- Understanding code structure across multiple languages
- Extracting function/class definitions
- Finding code patterns with tree-sitter queries
- Analyzing code complexity
- Symbol extraction and dependency analysis
Setup
MCP server configured in ~/.mcp.json:
{
"tree-sitter": {
"command": "python3",
"args": ["-m", "mcp_server_tree_sitter.server"],
"cwd": "/Users/alice/mcp-server-tree-sitter"
}
}
Usage Pattern
1. Register a Project First
register_project_tool(path="/path/to/project", name="my-project")
2. Explore Files
list_files(project="my-project", pattern="**/*.py")
get_file(project="my-project", path="src/main.py")
3. Analyze Structure
get_ast(project="my-project", path="src/main.py", max_depth=3)
get_symbols(project="my-project", path="src/main.py")
4. Search with Queries
find_text(project="my-project", pattern="function", file_pattern="**/*.py")
run_query(
project="my-project",
query='(function_definition name: (identifier) @function.name)',
language="python"
)
5. Complexity Analysis
analyze_complexity(project="my-project", path="src/main.py")
Available Tools
- Project:
register_project_tool,list_projects_tool,remove_project_tool - Language:
list_languages,check_language_available - Files:
list_files,get_file,get_file_metadata - AST:
get_ast,get_node_at_position - Search:
find_text,run_query - Symbols:
get_symbols,find_usage - Analysis:
analyze_project,get_dependencies,analyze_complexity - Queries:
get_query_template_tool,build_query,adapt_query - Similar Code:
find_similar_code
Supported Languages
Python, JavaScript, TypeScript, Go, Rust, C, C++, Swift, Java, Kotlin, Julia, APL, and many more via tree-sitter-language-pack.
Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
Tree Structures
- etetoolkit [○] via bicomodule
- Tree parsing and traversal
Bibliography References
graph-theory: 38 citations in bib.duckdb
Cat# Integration
This skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
GF(3) Naturality
The skill participates in triads satisfying:
(-1) + (0) + (+1) ≡ 0 (mod 3)
This ensures compositional coherence in the Cat# equipment structure.