mcp-server-tree-sitter

MCP Tree-sitter Server

A Model Context Protocol (MCP) server that provides code analysis capabilities using tree-sitter, designed to give AI assistants intelligent access to codebases with appropriate context management. Claude Desktop is the reference implementation target.

Features

• 🔍 Flexible Exploration: Examine code at multiple levels of granularity
• 🧠 Context Management: Provides just enough information without overwhelming the context window
• 🌐 Language Agnostic: Supports many programming languages including Python, JavaScript, TypeScript, Go, Rust, C, C++, Swift, Java, Kotlin, Julia, and APL via tree-sitter-language-pack
• 🌳 Structure-Aware: Uses AST-based understanding with efficient cursor-based traversal
• 🔎 Searchable: Find specific patterns using text search and tree-sitter queries
• 🔄 Caching: Optimized performance through parse tree caching
• 🔑 Symbol Extraction: Extract and analyze functions, classes, and other code symbols
• 📊 Dependency Analysis: Identify and analyze code dependencies and relationships
• 🧩 State Persistence: Maintains project registrations and cached data between invocations
• 🔒 Secure: Built-in security boundaries and input validation

For a comprehensive list of all available commands, their current implementation status, and detailed feature matrix, please refer to the FEATURES.md document.

Installation

Prerequisites

• Python 3.10+
• Tree-sitter language parsers for your preferred languages

Basic Installation

Development Installation

Quick Start

Running with Claude Desktop

You can make the server available in Claude Desktop either through the MCP CLI or by manually configuring Claude Desktop.

Using MCP CLI

Register the server with Claude Desktop:

Manual Configuration

Alternatively, you can manually configure Claude Desktop:

1. Open your Claude Desktop configuration file:
   • macOS/Linux: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json

   Create the file if it doesn't exist.

2. Add the server to the mcpServers section:
   { "mcpServers": { "tree_sitter": { "command": "python", "args": [ "-m", "mcp_server_tree_sitter.server" ] } } }
   Alternatively, if using uv or another package manager:
   { "mcpServers": { "tree_sitter": { "command": "uv", "args": [ "--directory", "/ABSOLUTE/PATH/TO/YOUR/PROJECT", "run", "-m", "mcp_server_tree_sitter.server" ] } } }
   Note: Make sure to replace /ABSOLUTE/PATH/TO/YOUR/PROJECT with the actual absolute path to your project directory.
3. Save the file and restart Claude Desktop.

The MCP tools icon (hammer) will appear in Claude Desktop's interface once you have properly configured at least one MCP server. You can then access the tree_sitter server's functionality by clicking on this icon.

Configuring with Released Version

If you prefer not to manually install the package from PyPI (released version) or clone the repository, simply use the following configuration for Claude Desktop:

1. Open your Claude Desktop configuration file (same location as above).
2. Add the tree-sitter server to the mcpServers section:
   { "mcpServers": { "tree_sitter": { "command": "uvx", "args": [ "--directory", "/ABSOLUTE/PATH/TO/YOUR/PROJECT", "mcp-server-tree-sitter" ] } } }
3. Save the file and restart Claude Desktop.

This method uses uvx to run the installed PyPI package directly, which is the recommended approach for the released version. The server doesn't require any additional parameters to run in its basic configuration.

State Persistence

The MCP Tree-sitter Server maintains state between invocations. This means:

• Projects stay registered until explicitly removed or the server is restarted
• Parse trees are cached according to configuration settings
• Language information is retained throughout the server's lifetime

This persistence is maintained in-memory during the server's lifetime using singleton patterns for key components.

Running as a standalone server

There are several ways to run the server:

Using the MCP CLI directly:

Using Makefile targets:

Using the installed script:

Using with the MCP Inspector

Using the MCP CLI directly:

Or using the Makefile target:

You can also pass arguments:

Usage

Register a Project

First, register a project to analyze:

Explore Files

List files in the project:

View file content:

Analyze Code Structure

Get the syntax tree:

Extract symbols:

Search Code

Search for text:

Run tree-sitter queries:

Analyze Complexity

Direct Python Usage

While the primary intended use is through the MCP server, you can also use the library directly in Python code:

Configuration

Create a YAML configuration file:

Load it with:

Logging Configuration

The server's logging verbosity can be controlled using environment variables:

For comprehensive information about logging configuration, please refer to the logging documentation. For details on the command-line interface, see the CLI documentation.

About preferred_languages

The preferred_languages setting controls which language parsers are pre-loaded at server startup rather than on-demand. This provides several benefits:

• Faster initial analysis: No delay when first analyzing a file of a pre-loaded language
• Early error detection: Issues with parsers are discovered at startup, not during use
• Predictable memory allocation: Memory for frequently used parsers is allocated upfront

By default, all parsers are loaded on-demand when first needed. For optimal performance, specify the languages you use most frequently in your projects.

You can also configure specific settings:

Or use environment variables:

Environment variables use the format MCP_TS_SECTION_SETTING (e.g., MCP_TS_CACHE_MAX_SIZE_MB) for section settings, or MCP_TS_SETTING (e.g., MCP_TS_LOG_LEVEL) for top-level settings.

Configuration values are applied in this order of precedence:

1. Environment variables (highest)
2. Values set via configure() calls
3. YAML configuration file
4. Default values (lowest)

The server will look for configuration in:

1. Path specified in configure() call
2. Path specified by MCP_TS_CONFIG_PATH environment variable
3. Default location: ~/.config/tree-sitter/config.yaml

For Developers

Diagnostic Capabilities

The MCP Tree-sitter Server includes a diagnostic framework to help identify and fix issues:

Diagnostic tests provide detailed information about the server's behavior and can help isolate specific issues. For more information about the diagnostic framework, please see the diagnostics documentation.

Type Safety Considerations

The MCP Tree-sitter Server maintains type safety when interfacing with tree-sitter libraries through careful design patterns and protocols. If you're extending the codebase, please review the type safety guide for important information about handling tree-sitter API variations.

Available Resources

The server provides the following MCP resources:

• project://{project}/files - List all files in a project
• project://{project}/files/{pattern} - List files matching a pattern
• project://{project}/file/{path} - Get file content
• project://{project}/file/{path}/lines/{start}-{end} - Get specific lines from a file
• project://{project}/ast/{path} - Get the AST for a file
• project://{project}/ast/{path}/depth/{depth} - Get the AST with custom depth

Available Tools

The server provides tools for:

• Project management: register_project_tool, list_projects_tool, remove_project_tool
• Language management: list_languages, check_language_available
• File operations: list_files, get_file, get_file_metadata
• AST analysis: get_ast, get_node_at_position
• Code search: find_text, run_query
• Symbol extraction: get_symbols, find_usage
• Project analysis: analyze_project, get_dependencies, analyze_complexity
• Query building: get_query_template_tool, list_query_templates_tool, build_query, adapt_query, get_node_types
• Similar code detection: find_similar_code
• Cache management: clear_cache
• Configuration diagnostics: diagnose_config

See FEATURES.md for detailed information about each tool's implementation status, dependencies, and usage examples.

Available Prompts

The server provides the following MCP prompts:

• code_review - Create a prompt for reviewing code
• explain_code - Create a prompt for explaining code
• explain_tree_sitter_query - Explain tree-sitter query syntax
• suggest_improvements - Create a prompt for suggesting code improvements
• project_overview - Create a prompt for a project overview analysis

License

MIT