🔗 MCP-First File Intelligence Platform

Universal File Intelligence for Any LLM

Connect your codebase to Claude, Groq, OpenAI, or any AI assistant via Model Context Protocol. Get instant file intelligence, git analysis, and code pattern detection that works with your favorite LLM.

5+
Intelligence Suites
20+
MCP Tools
LLM Support
datastruk-mcp.config
# MCP Server Configuration server: port: 3847 provider: "groq" tools: - read_file_content - analyze_git_history - map_project_structure - detect_patterns
50+
Patterns Detected
1M+
Lines Analyzed
90%
Issues Found
main.rs
use datastruk::*;

fn main() {
    let data = DataStruk::new()
        .with_context("AI powered")
        .build();
    
    // Magic happens here ✨
}

🏗️ Architecture Overview

📡 DataStruk MCP Server

Universal file intelligence engine

↔️

🤖 Any LLM Client

Claude Desktop, Groq, OpenAI, Local models


🚀 Quick Start

Connect to Your Favorite LLM

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# Start MCP server with Groq backend
datastruk mcp start --provider groq --port 3847

# Or use with Claude Desktop via MCP
echo '{"mcpServers": {"datastruk": {"command": "datastruk", "args": ["mcp", "start"]}}}' > claude_config.json

# Direct CLI usage
datastruk analyze --interactive --llm groq

⚡ Core Intelligence Suites

🗂️

File Intelligence Suite

Smart file reading, folder mapping, similarity detection, and relationship analysis via MCP tools.

🔄

Git Intelligence Suite

Rich git timeline, change analysis, file evolution tracking, and branch comparison.

🔍

Code Pattern Suite

Naming consistency checks, similarity detection, duplication analysis, and style validation.

🤖

AI Agent Intelligence

Detect AI-generated code, track context drift, analyze agent patterns, and get recommendations.

📊

Project Intelligence Suite

Health assessment, architecture analysis, dependency mapping, and auto-documentation.

🔗

Universal Integration

MCP protocol support, REST API, webhooks, real-time monitoring, and multi-LLM backends.


🎯 Perfect For

👨‍💻 Developers

Connect your codebase to Claude, Groq, or any LLM. Get instant AI expertise about your project via MCP protocol.

🏢 Tech-Heavy Product Managers

Understand codebase architecture, track technical debt, and get AI-powered insights about development progress.

🚀 Development Teams

Standardize code analysis across team. Share consistent file intelligence regardless of individual LLM preferences.


🔧 How It Works

1

Point & Connect

Point DataStruk at your project and connect via MCP protocol

2

Choose Your LLM

Use Groq for speed, Claude for reasoning, or any other LLM

3

Get Insights

Your AI assistant becomes an instant expert on your codebase