code-graph-mcp 1.1.0

MCP server for multi-language code graph intelligence and analysis across 25+ programming languages

Code Graph MCP Server

Model Context Protocol server providing comprehensive code analysis, navigation, and quality assessment capabilities across 25+ programming languages.

Features

🌍 Multi-Language Support

• 25+ Programming Languages: JavaScript, TypeScript, Python, Java, C#, C++, C, Rust, Go, Kotlin, Scala, Swift, Dart, Ruby, PHP, Elixir, Elm, Lua, HTML, CSS, SQL, YAML, JSON, XML, Markdown, Haskell, OCaml, F#
• Intelligent Language Detection: Extension-based, MIME type, shebang, and content signature analysis
• Framework Recognition: React, Angular, Vue, Django, Flask, Spring, and 15+ more
• Universal AST Abstraction: Language-agnostic code analysis and graph structures

🔍 Advanced Code Analysis

• Complete codebase structure analysis with metrics across all languages
• Universal AST parsing with ast-grep backend and intelligent caching
• Cyclomatic complexity calculation with language-specific patterns
• Project health scoring and maintainability indexing
• Code smell detection: long functions, complex logic, duplicate patterns
• Cross-language similarity analysis and pattern matching

🧭 Navigation & Search

• Symbol definition lookup across mixed-language codebases
• Reference tracking across files and languages
• Function caller/callee analysis with cross-language calls
• Dependency mapping and circular dependency detection
• Call graph generation across entire project

⚡ Performance Optimized

• Aggressive LRU caching with 50-90% speed improvements on repeated operations
• Cache sizes optimized for 500+ file codebases (up to 300K entries)
• Sub-microsecond response times on cache hits
• Memory-efficient universal graph building
• Comprehensive performance benchmarks and monitoring

🏢 Enterprise Ready

• Production-quality error handling across all languages
• Comprehensive logging and monitoring with language context
• UV package management with ast-grep integration

Installation

Method 1: Install from PyPI (Recommended)

1. Install the package with multi-language support:

pip install code-graph-mcp ast-grep-py rustworkx

2. Add to Claude Code using CLI:

claude mcp add --scope project code-graph-mcp code-graph-mcp

3. Verify installation:

claude mcp list
code-graph-mcp --help

Method 2: Install from Source

1. Clone and setup the project:

git clone <repository-url>
cd code-graph-mcp
uv sync  # Install dependencies including ast-grep-py

2. Add to your Claude Code configuration:

For local project configuration (recommended):

# This creates/updates .mcp.json in your current project
claude mcp add --scope project code-graph-mcp uv run code-graph-mcp

For user-wide configuration:

# This configures across all your projects
claude mcp add --scope user code-graph-mcp uv run code-graph-mcp

3. Restart Claude Code

Method 3: Development Installation

For contributing to the project:

git clone <repository-url>
cd code-graph-mcp
uv sync --dev
uv build  # Creates wheel and source distribution

Available Tools

The MCP server provides 8 comprehensive analysis tools that work across all 25+ supported languages:

Tool	Description	Multi-Language Features
analyze_codebase	Complete project analysis with structure metrics and complexity assessment	Language detection, framework identification, cross-language dependency mapping
find_definition	Locate symbol definitions with detailed metadata and documentation	Universal AST traversal, language-agnostic symbol resolution
find_references	Find all references to symbols throughout the codebase	Cross-file and cross-language reference tracking
find_callers	Identify all functions that call a specified function	Multi-language call graph analysis
find_callees	List all functions called by a specified function	Universal function call detection across languages
complexity_analysis	Analyze code complexity with refactoring recommendations	Language-specific complexity patterns, universal metrics
dependency_analysis	Generate module dependency graphs and import relationships	Cross-language dependency detection, circular dependency analysis
project_statistics	Comprehensive project health metrics and statistics	Multi-language project profiling, maintainability indexing

Usage Examples

Once installed, you can use the tools directly in Claude Code for multi-language projects:

Analyze this React/TypeScript frontend with Python backend - show me the overall structure and complexity metrics

Find all references to the function "authenticate" across both the Java services and JavaScript frontend

Show me functions with complexity higher than 15 across all languages that need refactoring

Generate a dependency graph showing how the Python API connects to the React components

Detect code smells and duplicate patterns across the entire multi-language codebase

Development

Requirements

• Python 3.12+
• UV package manager
• MCP SDK
• ast-grep-py (for multi-language support)
• rustworkx (for high-performance graph operations)

Running locally

# Install dependencies
uv sync

# Run the server directly
uv run code-graph-mcp --project-root /path/to/your/project --verbose

# Test with help
uv run code-graph-mcp --help

Performance Features

• LRU Caching: 50-90% speed improvements with cache sizes up to 300K entries for large codebases
• High-Performance Analytics: PageRank at 4.9M nodes/second, Betweenness Centrality at 104K nodes/second
• Sub-microsecond Response: Cache hits deliver sub-microsecond response times for repeated operations
• Memory Optimized: Cache configurations optimized for 500+ file codebases with 500MB memory allocation
• Comprehensive Benchmarks: Performance monitoring with detailed cache effectiveness metrics

Supported Languages

Category	Languages	Count
Web & Frontend	JavaScript, TypeScript, HTML, CSS	4
Backend & Systems	Python, Java, C#, C++, C, Rust, Go	7
JVM Languages	Java, Kotlin, Scala	3
Functional	Elixir, Elm	2
Mobile	Swift, Dart	2
Scripting	Ruby, PHP, Lua	3
Data & Config	SQL, YAML, JSON, TOML	4
Markup & Docs	XML, Markdown	2
Additional	Haskell, OCaml, F#	3
Total		25+

Status

✅ Multi-Language Support - 25+ programming languages with ast-grep backend
✅ MCP SDK integrated - Full protocol compliance across all languages
✅ Universal Architecture - Language-agnostic graph structures and analysis
✅ Server architecture complete - Enterprise-grade multi-language structure
✅ Core tools implemented - 8 comprehensive analysis tools working across all languages
✅ Performance optimized - Multi-language AST caching with intelligent routing
✅ Production ready - comprehensive error handling, defensive security