MCP Tree-sitter Server
by wrale
The MCP Tree-sitter Server provides code analysis capabilities using tree-sitter, designed to give Claude intelligent access to codebases with appropriate context management. It supports multiple languages and offers structure-aware code understanding.
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What is MCP Tree-sitter Server?
The MCP Tree-sitter Server is a Model Context Protocol (MCP) server that leverages tree-sitter to provide advanced code analysis features. It allows Claude to intelligently interact with codebases by providing relevant context and understanding code structure.
How to use MCP Tree-sitter Server?
To use the server, you can install it via pip or clone the repository for development. It can be integrated with Claude Desktop using the MCP CLI or by manually configuring the Claude Desktop configuration file. Once configured, you can register projects and use the available tools and prompts to analyze code.
Key features of MCP Tree-sitter Server
Flexible Exploration
Context Management
Language Agnostic
Structure-Aware
Searchable
Caching
Symbol Extraction
Dependency Analysis
State Persistence
Secure
Use cases of MCP Tree-sitter Server
Code understanding and explanation
Code review and improvement suggestions
Finding code patterns and dependencies
Analyzing code complexity
Automated code documentation
Identifying similar code blocks
FAQ from MCP Tree-sitter Server
What programming languages are supported?
What programming languages are supported?
The server supports many programming languages including Python, JavaScript, TypeScript, Go, Rust, C, C++, Swift, Java, Kotlin, Julia, and APL via tree-sitter-language-pack.
How do I register a project?
How do I register a project?
Use the register_project_tool with the path to your project and a name for the project.
How does the server maintain state?
How does the server maintain state?
The server maintains state in-memory during its lifetime using singleton patterns for key components, persisting project registrations, cached parse trees, and language information.
Can I use the library directly in Python code?
Can I use the library directly in Python code?
Yes, you can import and use the library directly in Python code. Refer to the 'Direct Python Usage' section in the README for examples.
How do I configure the server?
How do I configure the server?
You can configure the server using a YAML configuration file, environment variables, or by directly passing configuration parameters in the configure() call.