Indxr FAQs

Question 1

How does Indxr integrate with AI agents like Claude Code or Cursor?

Accepted Answer

Indxr offers a simple one-command setup (`indxr init`) to configure popular AI agents such as Claude Code, Cursor, and Windsurf. This includes setting up MCP integration, instruction files, and PreToolUse hooks to ensure agents utilize Indxr's efficient codebase queries.

Question 2

What is Indxr and how does it help AI coding agents?

Accepted Answer

Indxr is a fast codebase indexer and MCP server that provides AI coding agents with a structural map of your code (declarations, imports, relationships). This eliminates the need for agents to read entire source files, drastically reducing token costs and accelerating their understanding.

Question 3

What is the MCP server and what tools does it offer?

Accepted Answer

The MCP (Multi-tool Context Provider) server is an integrated component of Indxr that offers 18 tools for live codebase queries via JSON-RPC. These tools include symbol lookup, file summaries, structural Git diffing, caller tracing, signature search, and dependency graph generation.

Question 4

What programming languages does Indxr support?

Accepted Answer

Indxr supports 27 programming languages. It uses tree-sitter AST parsing for 8 languages like Rust, Python, TypeScript, and Go, and robust regex extraction for 19 additional languages including Shell, SQL, Ruby, and C#.

Question 5

How does Indxr optimize token usage for AI agents?

Accepted Answer

Indxr provides token-aware context management with progressive truncation. By giving agents a structural map instead of raw files, it achieves a significant reduction (up to ~5x) in token cost, ensuring agents get relevant information within their context window without waste.

Indxr

Indxr

주요 기능

사용 사례

주요 기능

사용 사례