High-performance C++23 MCP server for code intelligence

A standalone, high-performance C++23 MCP server indexing codebases into persistent knowledge graphs, with sub-ms queries for 155 languages.

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High-Performance C++23 MCP Server for Code Intelligence

This repository provides a standalone, high-performance MCP server built with C++23. It's designed to index large codebases into persistent knowledge graphs, enabling extremely fast querying for code intelligence tasks. The server is optimized for speed and efficiency, making it a valuable tool for developers working with extensive code repositories across a wide range of programming languages.

What it Does

The core functionality of this MCP server is to ingest and process source code from various programming languages. It transforms this code into a structured knowledge graph, which represents the relationships and semantics within the codebase. This graph is then stored persistently, allowing for rapid retrieval of information. The server is engineered to handle complex code structures and large volumes of data without compromising performance.

Key Features

C++23 Implementation: Leverages modern C++ features for optimal performance and maintainability.
High Performance: Achieves sub-millisecond query times, crucial for real-time code analysis and IDE integrations.
Persistent Knowledge Graphs: Indexes code into a structured, queryable knowledge graph for deep code understanding.
Broad Language Support: Capable of indexing and querying code from 155 different programming languages.
Standalone Operation: Functions as a self-contained server, simplifying deployment and integration.
Source Available: Open-source on GitHub, allowing for inspection, modification, and community contributions.

Who it's For

This tool is primarily targeted at AI builders and software developers who require advanced code intelligence capabilities. It is particularly useful for:

Developers building custom IDE extensions or code analysis tools.
Teams managing large, multi-language codebases.
Researchers in program analysis and software engineering.
Anyone needing to perform rapid, semantic queries over source code.