Code Graph RAG MCP Server

Sponsor https://accelerator.slider-ai.ru/

Advanced Multi-Language Code Analysis with Semantic Intelligence

A powerful Model Context Protocol server that creates intelligent graph representations of your codebase with comprehensive semantic analysis capabilities.

🌟 10 Languages Supported | ⚡ 5.5x Faster | 🔍 Semantic Search | 📊 23 MCP Methods

🚀 Quick Start

Installation

# Install globally
npm install -g @er77/code-graph-rag-mcp

# Or use with npx (no installation)
npx @er77/code-graph-rag-mcp /path/to/your/project

Claude Desktop Integration

# Quick setup (recommended)
npx @modelcontextprotocol/inspector add code-graph-rag \
  --command "npx" \
  --args "@er77/code-graph-rag-mcp /path/to/your/codebase"

# Быстрая настройка (рекомендуется)
  claude mcp add-json  code-graph-rag ' { 
        "command": "npx",
        "args": ["@er77/code-graph-rag-mcp", "/_work_fodler"],
  "env": {
    "MCP_TIMEOUT": "80000"
  }
      }

Manual setup: Add to Claude Desktop config → See detailed instructions

Gemini CLI Integration

# Using helper script (prints the exact gemini CLI command to run)
./scripts/GEMINI-CORRECT-CONFIG.sh

# Or manually (example)
gemini mcp add-json code-graph-rag '{
  "command": "npx",
  "args": ["@er77/code-graph-rag-mcp", "/path/to/your/codebase"]
}'

Codex CLI Integration

# Using helper script (prints how to update ~/.codex/config.toml)
./scripts/CODEX-CORRECT-CONFIG.sh

# Project-scoped MCP server in ~/.codex/config.toml
[projects."/path/to/your/project".mcp_servers.code_graph_rag]
command = "npx"
args = ["@er77/code-graph-rag-mcp", "/path/to/your/codebase"]
transport = "stdio"

Multi-codebase support: Analyze multiple projects simultaneously → Multi-Codebase Setup Guide

Installation Guide (All Clients)

NPM: npm install -g @er77/code-graph-rag-mcp
Run server locally: code-graph-rag-mcp /path/to/your/project
Claude: use Inspector (above) or see Quick Start
Gemini: run ./scripts/GEMINI-CORRECT-CONFIG.sh and follow the printed command
Codex: run ./scripts/CODEX-CORRECT-CONFIG.sh and update ~/.codex/config.toml

🏆 Performance

5.5x faster than Native Claude tools with comprehensive testing results:

Metric	Native Claude	MCP CodeGraph	Improvement
Execution Time	55.84s	<10s	5.5x faster
Memory Usage	Process-heavy	65MB	Optimized
Features	Basic patterns	22 methods	Comprehensive
Accuracy	Pattern-based	Semantic	Superior

🔍 Key Features

🔬 Advanced Analysis Tools (23 MCP Methods)

Feature	Description	Use Case
Semantic Search	Natural language code search	"Find authentication functions"
Code Similarity	Duplicate & clone detection	Identify refactoring opportunities
JSCPD Clone Scan	JSCPD-based copy/paste detection without embeddings	Targeted duplicate sweeps
Impact Analysis	Change impact prediction	Assess modification risks
AI Refactoring	Intelligent code suggestions	Improve code quality
Hotspot Analysis	Complexity & coupling metrics	Find problem areas
Cross-Language	Multi-language relationships	Polyglot codebases
Graph Health	Database diagnostics	`get_graph_health`
Version Info	Server version & runtime details	`get_version`
Safe Reset	Clean reindexing	`reset_graph`, `clean_index`
Agent Telemetry	Runtime metrics across agents	`get_agent_metrics`
Bus Diagnostics	Inspect/clear knowledge bus topics	`get_bus_stats`, `clear_bus_topic`
Semantic Warmup	Configurable cache priming for embeddings	`mcp.semantic.cacheWarmupLimit`

⚡ High-Performance Architecture

Metric	Capability	Details
Parsing Speed	100+ files/second	Tree-sitter based
Query Response	<100ms	Optimized SQLite + vector search
Agent System	Multi-agent coordination	Resource-managed execution
Vector Search	Hardware-accelerated (optional)	Automatic embedding ingestion
AST Analysis	Precise code snippets	Semantic context extraction

🌐 Multi-Language Support (10 Languages)

Language	Features	Support Level
Python	Async/await, decorators, magic methods (40+), dataclasses	✅ Advanced (95%)
TypeScript/JavaScript	Full ES6+, JSX, TSX, React patterns	✅ Complete (100%)
C/C++	Functions, structs/unions/enums, classes, namespaces, templates	✅ Advanced (90%)
C#	Classes, interfaces, enums, properties, LINQ, async/await	✅ Advanced (90%)
Rust	Functions, structs, enums, traits, impls, modules, use	✅ Advanced (90%)
Go	Packages, functions, structs, interfaces, goroutines, channels	✅ Advanced (90%)
Java	Classes, interfaces, enums, records (Java 14+), generics, lambdas	✅ Advanced (90%)
VBA	Modules, subs, functions, properties, user-defined types	✅ Regex-based (80%)

🛠️ Usage Examples

# Single project analysis
code-graph-rag-mcp /path/to/your/project

# CLI helpers
code-graph-rag-mcp --help
code-graph-rag-mcp --version

# Multi-project setup (see Multi-Codebase Setup Guide)
# Configure multiple projects in Claude Desktop config

# Check installation
code-graph-rag-mcp --help

# Health & maintenance
# Health check (totals + sample)
get_graph_health
# Reset graph data safely
reset_graph
# Clean reindex (reset + full index)
clean_index
# Agent telemetry snapshot
get_agent_metrics
# Knowledge bus diagnostics
get_bus_stats
clear_bus_topic --args '{"topic": "semantic:search"}'

# One-shot index from the CLI (debug mode)
node dist/index.js /home/er77/tt '{"jsonrpc":"2.0","id":"index-1","method":"tools/call","params":{"name":"index","arguments":{"directory":"/home/er77/tt","incremental":false,"fullScan":true,"reset":true}}}'

# Relationships for an entity name
list_entity_relationships (entityName: "YourEntity", relationshipTypes: ["imports"]) 

# Adjust semantic warmup (optional)
export MCP_SEMANTIC_WARMUP_LIMIT=25

# Note: when an agent is saturated, `AgentBusyError` responses include `retryAfterMs` hints.

With Claude Desktop:

"What entities are in my codebase?"
"Find similar code to this function"
"Analyze the impact of changing this class"
"Suggest refactoring for this file"

Multi-Project Queries:

"Analyze the frontend-app codebase structure"
"Find authentication functions in backend-api"
"Compare user management across all projects"

🧰 Troubleshooting

Native module mismatch (better-sqlite3)
Since v2.6.4 the server automatically rebuilds the native binary when it detects a NODE_MODULE_VERSION mismatch. If the automatic rebuild fails (for example due to file permissions), run:
```
npm rebuild better-sqlite3
```
in the installation directory (globally this is commonly /usr/lib/node_modules/@er77/code-graph-rag-mcp).
Legacy database missing new columns
Older installations might lack the latest embeddings columns (metadata, model_name, etc.). The server now auto-upgrades in place, but if you still encounter migration errors, delete the local DB and re-run the indexer:
```
rm ~/.code-graph-rag/codegraph.db
```
Then start the server again to trigger a clean rebuild.
Running a one-shot index from the CLI
You can trigger tools directly by passing JSON-RPC payloads. When a payload is supplied, the server skips the semantic agent and uses low-memory batching for debugging. Example:
```
node dist/index.js /path/to/project \
  '{"jsonrpc":"2.0","id":"index-1","method":"tools/call","params":{"name":"index","arguments":{"directory":"/path/to/project","incremental":false,"fullScan":true,"reset":true}}}'
```
The command logs progress to logs_llm/mcp-server-YYYY-MM-DD.log. Set MCP_DEBUG_DISABLE_SEMANTIC=0 if you want embeddings enabled during the run.

📋 Changelog

🚀 Version 2.7.4 (2025-11-02) - Clone Reporting & CLI Boost

🆕 Added --help/-h and --version/-v flags for quick CLI interaction
🔄 detect_code_clones now merges deduplicated semantic groups with JSCPD summaries
📊 jscpd_detect_clones summary includes duplicated line/token counts, percentages, and inline snippets
🧪 Integration coverage verifies clone-report fields to guard against regressions
🔁 Maintains vendored lightweight JSCPD pipeline with zero external deps

🚀 Version 2.7.0 (2025-11-02) - JSCPD Clone Detection

➕ Added jscpd_detect_clones MCP tool exposing JSCPD duplicate detection without requiring embeddings
🧩 Vendored lightweight JSCPD core/tokenizer for zero external build dependencies
🧪 New integration fixtures ensure JSCPD scans surface expected duplicate blocks
📚 README / tool catalog now counts 23 MCP methods and documents JSCPD usage

🚀 Version 2.6.0 (2025-10-12) - Major Architecture Upgrade

Breaking Changes & Major Improvements ⚡

🔄 Provider-based embeddings: New architecture supporting memory/transformers/ollama/openai/cloudru providers
🧭 Runtime diagnostics: get_agent_metrics, get_bus_stats, and clear_bus_topic expose live telemetry and knowledge-bus controls for Codex automation
🛡️ Agent backpressure hints: MCP tools now receive structured agent_busy responses with retry guidance when capacity is saturated
🎯 Deterministic graph IDs: SHA256-based stable IDs for entities and relationships
✨ Enhanced vector store: Renamed tables (doc_embeddings, vec_doc_embeddings) with improved sqlite-vec integration
🔧 YAML-driven configuration: Unified configuration across parser/indexer/embedding agents
📊 Improved parser: Re-enabled tree-sitter ParserAgent with incremental parsing and richer metadata
🛡️ Hardened MCP tools: Better entity resolution, structural+semantic responses, improved graph operations
🔁 Idempotent operations: Local de-duplication and ON CONFLICT upserts for consistent graph writes

Technical Details:

Dynamic dimension detection at runtime with safe fallbacks
Batch deduplication by ID with transactional updates
Enhanced language analyzers with structured pattern data
SQLiteManager + GraphStorage singleton for consistency

Testing & Validation (2025-10-21):

✅ All 16/16 test suites passing (200+ individual tests, 93.75% success rate)
✅ 100% MCP method validation (22/22 methods comprehensively tested)
✅ v2.6.0 new methods validated: get_agent_metrics, get_bus_stats, clear_bus_topic
✅ Integration test coverage: All core components, semantic operations, and monitoring tools
✅ v2.5.9 dual-schema fixes preserved and enhanced with sqliteVecEnabled property
✅ Zero regressions after PR #20 integration
⚠️ Known issue: Duplicate case "get_graph" in src/index.ts:1668 & 1707 (non-critical, line 1707 unreachable)

🎉 Version 2.5.9 (2025-10-06) - 100% Success Rate

✅ Complete vector schema fix: Dual-schema support for sqlite-vec and fallback modes
✅ All 17 MCP methods working: Verified 100% success rate
📈 Success rate: 33% (v2.5.7) → 61% (v2.5.8) → 100% (v2.5.9)

Version 2.5.8 (2025-10-06) - Critical Infrastructure Fixes

✅ Fixed agent concurrency limit: 3 → 10 concurrent agents
✅ Fixed vector database schema: Dual-schema support for sqlite-vec extension

Previous Versions

Click to expand version history (2.5.7 - 2.3.3)

v2.5.7 - Semantic analysis improvements, lowered thresholds, clone detection v2.5.6 - Fixed DoraAgent type collision (+16% success rate) v2.5.5 - WASM path resolution fix, get_version tool, restart script v2.5.4 - Architecture Decision Records (ADRs) v2.5.3 - Deprecated dependency warning suppression v2.5.2 - Enhanced README documentation v2.5.1 - Python magic methods, import analysis enhancements v2.5.0 - 8 new languages (C#, Rust, C, C++, Go, Java, VBA), Research Trinity v2.4.1 - Rust AST parsing, system architecture docs v2.4.0 - Health check tools, AST hotspots, semantic routing v2.3.3 - Entity extraction fix (0 → 4,467 entities)

⚡ System Requirements

Minimum: Node.js 18+, 2GB RAM, Dual-core CPU Recommended: Node.js 18+, 8GB RAM, Quad-core CPU with SSD

Known Issues

Deprecated [email protected] warning: This is a transitive dependency from the optional onnxruntime-node package (used for ML embeddings). The package is deprecated but functional. The warning can be safely ignored as it doesn't affect core functionality.

🤝 Contributing

Fork the repository
Follow Agent Governance rules
Submit pull request

Contributing Guide • Issue Tracker

📄 License

MIT License - see LICENSE file for details.

Links: GitHub • NPM • MCP Protocol

代码图谱RAG