indxr — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by bahdotsh · MCP Server · ★ 72

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is indxr safe to install? View the security audit →

About indxr

indxr A fast codebase indexer and MCP server for AI coding agents. AI coding agents waste thousands of tokens reading entire source files just to understand what's in them. indxr gives agents a structural map of your codebase — declarations, imports, relationships, and dependency graphs — so they can query for exactly what they need at a fraction of the token cost. Features 27 languages — tree-sitter AST parsing for 8 languages, regex extraction for 19 more 26-tool MCP server (3 compound default + 23 granular via ) — live codebase queries over JSON-RPC: symbol lookup, file summaries, caller tracing, signature search, complexity hotspots, type flow tracking, workspace support, and more Token-aware — progressive truncation to fit context windows, 5x reduction vs reading full files Git structural diffing — declaration-level diffs ( added, removed, changed) against any git ref or GitHub PR Dependency graphs — file and symbol dependency visualization as DOT, Mermaid, or JSON File watching — continuous re-indexing as you edit, via or Monorepo / wo

aiai-agentsclaude-codemcp-serveropenaitokens

Quick Facts

Stars72
Forks6
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score70.3867336961932/100
Open Issues1
Last Updated2026-04-07
Created2026-03-23
Platformsclaude-code, mcp, rust
Est. Tokens~171k

indxr alternative? Top 6 similar tools

Looking for a indxr alternative? If you're comparing indxr with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • deepcontext-mcp by Wildcard-Official · ⭐ 278

    DeepContext is an MCP server that adds symbol-aware semantic search to Claude Code, Codex CLI, and other agent

  • claude-historian-mcp by Vvkmnn · ⭐ 178

    📜 An MCP server for conversation history search and retrieval in Claude Code

  • mcp-linker by milisp · ⭐ 323

    mcp store manager, add & syncs MCP server configurations across clients like Claude code, Cursor💡mcphub

  • chrome-devtools-mcp by benjaminr · ⭐ 309

    An MCP Server for Chrome DevTools, following the Chrome DevTools Protocol. Integrates with Claude Desktop and

  • mcp-claude-code by SDGLBL · ⭐ 304

    MCP implementation of Claude Code capabilities and more

  • oreilly-ai-agents by sinanuozdemir · ⭐ 299

    An introduction to the world of AI Agents

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Frequently Asked Questions

What is indxr?

indxr is A fast codebase indexer and knowledge wiki for AI agents.. It is categorized as a MCP Server with 72 GitHub stars.

What programming language is indxr written in?

indxr is primarily written in Rust. It covers topics such as ai, ai-agents, claude-code.

How do I install or use indxr?

You can find installation instructions and usage details in the indxr GitHub repository at github.com/bahdotsh/indxr. The project has 72 stars and 6 forks, indicating an active community.

What license does indxr use?

indxr is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to indxr?

The top alternatives to indxr on Agent Skills Hub include deepcontext-mcp, claude-historian-mcp, mcp-linker. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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