ast-grep MCP
An experimental MCP server that uses the ast-grep CLI for code structural search, linting, and rewriting.
ast-grep MCP Server
An experimental Model Context Protocol (MCP) server that provides AI assistants with powerful structural code search capabilities using ast-grep.
Overview
This MCP server enables AI assistants (like Cursor, Claude Desktop, etc.) to search and analyze codebases using Abstract Syntax Tree (AST) pattern matching rather than simple text-based search. By leveraging ast-grep's structural search capabilities, AI can:
- Find code patterns based on syntax structure, not just text matching
- Search for specific programming constructs (functions, classes, imports, etc.)
- Write and test complex search rules using YAML configuration
- Debug and visualize AST structures for better pattern development
Prerequisites
-
Install ast-grep: Follow ast-grep installation guide
# macOS brew install ast-grep nix-shell -p ast-grep cargo install ast-grep --locked -
Install uv: Python package manager
curl -LsSf https://astral.sh/uv/install.sh | sh -
MCP-compatible client: Such as Cursor, Claude Desktop, or other MCP clients
Installation
-
Clone this repository:
git clone https://github.com/ast-grep/ast-grep-mcp.git cd ast-grep-mcp -
Install dependencies:
uv sync -
Verify ast-grep installation:
ast-grep --version
Running with uvx
You can run the server directly from GitHub using uvx:
uvx --from git+https://github.com/ast-grep/ast-grep-mcp ast-grep-server
This is useful for quickly trying out the server without cloning the repository.
Configuration
For Cursor
Add to your MCP settings (usually in .cursor-mcp/settings.json):
{
"mcpServers": {
"ast-grep": {
"command": "uv",
"args": ["--directory", "/absolute/path/to/ast-grep-mcp", "run", "main.py"],
"env": {}
}
}
}
For Claude Desktop
Add to your Claude Desktop MCP configuration:
{
"mcpServers": {
"ast-grep": {
"command": "uv",
"args": ["--directory", "/absolute/path/to/ast-grep-mcp", "run", "main.py"],
"env": {}
}
}
}
Custom ast-grep Configuration
The MCP server supports using a custom sgconfig.yaml file to configure ast-grep behavior.
See the ast-grep configuration documentation for details on the config file format.
You can provide the config file in two ways (in order of precedence):
- Command-line argument:
--config /path/to/sgconfig.yaml - Environment variable:
AST_GREP_CONFIG=/path/to/sgconfig.yaml
Usage
This repository includes comprehensive ast-grep rule documentation in ast-grep.mdc. The documentation covers all aspects of writing effective ast-grep rules, from simple patterns to complex multi-condition searches.
You can add it to your cursor rule or Claude.md, and attach it when you need AI agent to create ast-grep rule for you.
The prompt will ask LLM to use MCP to create, verify and improve the rule it creates.
Features
The server provides four main tools for code analysis:
🔍 dump_syntax_tree
Visualize the Abstract Syntax Tree structure of code snippets. Essential for understanding how to write effective search patterns.
Use cases:
- Debug why a pattern isn't matching
- Understand the AST structure of target code
- Learn ast-grep pattern syntax
🧪 test_match_code_rule
Test ast-grep YAML rules against code snippets before applying them to larger codebases.
Use cases:
- Validate rules work as expected
- Iterate on rule development
- Debug complex matching logic
🎯 find_code
Search codebases using simple ast-grep patterns for straightforward structural matches.
Parameters:
max_results: Limit number of complete matches returned (default: unlimited)output_format: Choose between"text"(default, ~75% fewer tokens) or"json"(full metadata)
Text Output Format:
Found 2 matches:
path/to/file.py:10-15
def example_function():
# function body
return result
path/to/file.py:20-22
def another_function():
pass
Use cases:
- Find function calls with specific patterns
- Locate variable declarations
- Search for simple code constructs
🚀 find_code_by_rule
Advanced codebase search using complex YAML rules that can express sophisticated matching criteria.
Parameters:
max_results: Limit number of complete matches returned (default: unlimited)output_format: Choose between"text"(default, ~75% fewer tokens) or"json"(full metadata)
Use cases:
- Find nested code structures
- Search with relational constraints (inside, has, precedes, follows)
- Complex multi-condition searches
Usage Examples
Basic Pattern Search
Use Query:
Find all console.log statements
AI will generate rules like:
id: find-console-logs
language: javascript
rule:
pattern: console.log($$$)
Complex Rule Example
User Query:
Find async functions that use await
AI will generate rules like:
id: async-with-await
language: javascript
rule:
all:
- kind: function_declaration
- has:
pattern: async
- has:
pattern: await $EXPR
stopBy: end
Supported Languages
ast-grep supports many programming languages including:
- JavaScript/TypeScript
- Python
- Rust
- Go
- Java
- C/C++
- C#
- And many more...
For a complete list of built-in supported languages, see the ast-grep language support documentation.
You can also add support for custom languages through the sgconfig.yaml configuration file. See the custom language guide for details.
Troubleshooting
Common Issues
- "Command not found" errors: Ensure ast-grep is installed and in your PATH
- No matches found: Try adding
stopBy: endto relational rules - Pattern not matching: Use
dump_syntax_treeto understand the AST structure - Permission errors: Ensure the server has read access to target directories
Contributing
This is an experimental project. Issues and pull requests are welcome!
Related Projects
- ast-grep - The core structural search tool
- Model Context Protocol - The protocol this server implements
- FastMCP - The Python MCP framework used
- Codemod MCP - Gives AI assistants tools like tree-sitter AST and node types, ast-grep instructions (YAML and JS ast-grep), and Codemod CLI commands to easily build, publish, and run ast-grep based codemods.
関連サーバー
Scout Monitoring MCP
スポンサーPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
スポンサーAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Dev.to MCP Server
An MCP server for the Dev.to API to search, browse, read, and create content on the platform.
Unified Diff MCP Server
Beautiful HTML and PNG diff visualization using diff2html, designed for filesystem edit_file dry-run output with high-performance Bun runtime.
Graph Tools
An interactive graph analysis toolkit with web visualizations and AI-powered analysis capabilities.
Azure DevOps MCP Server for Cursor
Integrate Azure DevOps with Cursor IDE. Provides over 60 tools using PAT authentication, no CLI needed.
Aseprite MCP
A server for programmatic interaction with Aseprite, enabling batch processing and automation for sprite creation and management.
SonarQube MCP Server
Integrates with SonarQube to provide AI assistants with access to code quality metrics, issues, and analysis results.
Devici MCP Server
Manage threat models, components, and security data on the Devici platform.
Divvi MCP Server
Automatically integrate the Divvi referral SDK into JavaScript and TypeScript blockchain applications.
Remote MCP Server (Authless)
An authentication-free, remote MCP server deployable on Cloudflare Workers or locally via npm.
ndlovu-code-reviewer
Manual code reviews are time-consuming and often miss the opportunity to combine static analysis with contextual, human-friendly feedback. This project was created to experiment with MCP tooling that gives AI assistants access to a purpose-built reviewer. Uses the Gemini cli application to process the reviews at this time and linting only for typescript/javascript apps at the moment. Will add API based calls to LLM's in the future and expand linting abilities. It's also cheaper than using coderabbit ;)
