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Qartez

Code Intelligence MCP for AI Agents

Qartez gives AI coding assistants a real understanding of a codebase. It is a Rust MCP (Model Context Protocol) server that builds a language-aware index and replaces naive file search with structured tools: jump to any symbol, trace call hierarchies, measure the blast radius of a change before editing, and run guarded refactors. The core server is open source, with a hosted offering at qartez.dev.

Highlights

40+
MCP tools
Graph-aware
Index
Local-first
No cloud
Open source
Core server
Qartez - Developer Tool

How it Works

01

Install in One Line

A single command installs the server and auto-configures the MCP-capable IDEs and agents it detects.

02

Auto-Index on Open

Open a project and Qartez parses it into a local graph - no manual indexing step.

03

Agent Queries the Graph

Your assistant calls purpose-built tools for navigation, impact, and analysis instead of grepping files.

04

Stay in Sync

A file watcher re-indexes changed files in the background, so the graph stays fresh as you edit.

Features

Pre-Computed Code Graph

Your agent queries a prebuilt graph of symbols, imports, and call edges instead of re-reading files, so it answers with a fraction of the tokens.

Symbol-Level Navigation

Jump to definitions, references, and call hierarchies across the whole codebase from the index.

Impact Analysis

Measure the blast radius of a change before editing a load-bearing file - direct importers, transitive dependents, and co-change partners.

Modification Guard

Blocks edits to high-impact files until the agent reviews the blast radius first, so it stops making blind changes.

Guarded Refactors

Rename symbols, move them between files, and rewrite imports across the repo with safety checks that catch breakage early.

Local and Private

A single Rust binary parses your code into a local index - no vector database, no cloud, nothing leaves your machine.

Use Cases

Token-Efficient Agents

Cut the cost of every AI coding session by routing questions through the index instead of file scans.

Safe Refactoring

Know exactly what breaks before touching a critical file in a large codebase.

Onboarding a Codebase

Get an importance-ranked reading list and a structural map of any unfamiliar repo.

Pre-Merge Review

See the combined blast radius and co-change risk of a whole git diff in a single call.

Who it's For

Developers and teams using AI coding agents who want faster, cheaper, and safer code intelligence on large or unfamiliar codebases.

Ready to try Qartez? See it in action.

Visit Qartez

FAQ

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