AgentIndex icon
AgentIndex
indxr logo
indxr
★ 73
vs
trace-mcp logo
trace-mcp
★ 193

indxr vs trace-mcp

indxr: indxr gives AI coding agents a structural map of codebases, reducing token costs by ~5x compared to reading full files. It supports 27 languages, provides a 22-tool MCP server for live queries, and features incremental caching, git structural diffing, and dependency graphs. Setup is one-command with `indxr init` for popular AI coding agents.; trace-mcp: trace-mcp is a framework-aware code intelligence MCP server that builds cross-language dependency graphs from source code. It enables AI agents to understand framework-specific relationships, track request flows, analyze change impact, and remember past decisions across sessions, significantly reducing token usage.

01

TL;DR

indxr logo
indxrDev Tooling · ★ 73

AI coding agents understanding a codebase without full file reads

Read indxr full review →
trace-mcp logo
trace-mcpDev Tooling · ★ 193

Understanding full-stack web applications with cross-language relationships

Read trace-mcp full review →
02

Side-by-Side Comparison

Field
indxr logoindxr
trace-mcp logotrace-mcp
Category
Dev Tooling
Dev Tooling
Stars
★ 73
★ 193
License
MIT
MIT
Install Command
cargo install indxr
npm install -g trace-mcp && trace-mcp init && trace-mcp add
Updated
6mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai, ai-agents, claude-code
ai-agents, claude-code, code-intelligence
03

Features

indxr logoindxr
0127 languages support (tree-sitter for 8, regex for 19)
0222-tool MCP server for live codebase queries
03Token-aware truncation with ~5x reduction
04Git structural diffing at declaration level
05Dependency graphs (DOT, Mermaid, JSON)
trace-mcp logotrace-mcp
01Framework-aware dependency graph across languages
02Code-linked decision memory
03Cross-session intelligence and context carryover
04Change impact analysis with risk scoring
05Up to 99% token reduction
04

Use Cases

indxr logoindxr
↳AI coding agents understanding a codebase without full file reads
↳Debugging and exploring dependencies between files and symbols
↳Automated codebase health reporting and complexity analysis
trace-mcp logotrace-mcp
↳Understanding full-stack web applications with cross-language relationships
↳Impact analysis for changes across multiple languages and frameworks
↳Reducing token consumption and context window pressure in large codebases
FAQ

FAQ

What is the difference between indxr and trace-mcp?
Both indxr and trace-mcp are in the Dev Tooling category. indxr has 73 stars, while trace-mcp has 193 stars.
Which is better, indxr or trace-mcp?
The best choice depends on your use case. Choose indxr if AI coding agents understanding a codebase without full file reads, and trace-mcp if Understanding full-stack web applications with cross-language relationships.
Is indxr free or open source?
Yes, indxr is open source on GitHub (MIT).
Is trace-mcp free or open source?
Yes, trace-mcp is open source on GitHub (MIT).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related

Alternatives to indxr →Alternatives to trace-mcp →indxr details →trace-mcp details →