MCP Tree-sitter Server
MCP Server for Tree-sitter
What is MCP Tree-sitter Server?
What is MCP Tree-sitter Server? MCP Tree-sitter Server is a Model Context Protocol (MCP) server that provides code analysis capabilities using tree-sitter, designed to give intelligent access to codebases with appropriate context management. How to use MCP Tree-sitter Server? To use the MCP Tree-sitter Server, install it via pip and configure it with Claude Desktop either through the MCP CLI or manually. You can register projects and analyze code using various commands. Key features of MCP Tree-sitter Server? Flexible exploration of code at multiple levels of granularity. Context management to provide relevant information without overwhelming the user. Language agnostic, supporting multiple programming languages. Structure-aware with AST-based understanding. Searchable code patterns using text search and tree-sitter queries. Caching for optimized performance. Symbol extraction and dependency analysis. State persistence between invocations. Built-in security features. Use cases of MCP Tree-sitter Server? Analyzing code structure and syntax trees. Searching for specific code patterns. Extracting symbols and analyzing code dependencies. Managing projects and their configurations. FAQ from MCP Tree-sitter Server? What languages does it support? It supports many programming languages including Python, JavaScript, TypeScript, Go, Rust, C, C++, Swift, Java, Kotlin, Julia, and APL. Is it easy to install? Yes! You can install it using pip with a simple command. Can it run as a standalone server? Yes! You can run it as a standalone server using the provided command.
As an MCP (Model Context Protocol) server, MCP Tree-sitter Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use MCP Tree-sitter Server
To use the MCP Tree-sitter Server, install it via pip and configure it with Claude Desktop either through the MCP CLI or manually. You can register projects and analyze code using various commands. Key features of MCP Tree-sitter Server? Flexible exploration of code at multiple levels of granularity. Context management to provide relevant information without overwhelming the user. Language agnostic, supporting multiple programming languages. Structure-aware with AST-based understanding. Searchable code patterns using text search and tree-sitter queries. Caching for optimized performance. Symbol extraction and dependency analysis. State persistence between invocations. Built-in security features. Use cases of MCP Tree-sitter Server? Analyzing code structure and syntax trees. Searching for specific code patterns. Extracting symbols and analyzing code dependencies. Managing projects and their configurations. FAQ from MCP Tree-sitter Server? What languages does it support? It supports many programming languages including Python, JavaScript, TypeScript, Go, Rust, C, C++, Swift, Java, Kotlin, Julia, and APL. Is it easy to install? Yes! You can install it using pip with a simple command. Can it run as a standalone server? Yes! You can run it as a standalone server using the provided command.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like MCP Tree-sitter Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP Tree-sitter Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.