cocoindex-code: A super light-weight embedded code search engine CLI

by cocoindex-io · MCP Server · ★ 3.0k

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

How to install cocoindex-code

pipx install cocoindex-code       # first install
uv tool install --upgrade cocoindex-code --prerelease explicit --with "cocoindex>=1.0.0a24"

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentsastclaude-codecocoindexcode-searchcodexcoding-agentcontext-engineeringcontext-windowcontext-window-optimization

Quick Facts

Stars2,966
Forks248
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score71/100
Open Issues62
Last Updated2026-11-05
Created2026-02-01
Platformsclaude-code, cli, codex, mcp, python
Est. Tokens~16k

About cocoindex-code

light weight MCP for code that just works A super light-weight, effective embedded MCP (AST-based) that understand and searches your codebase that just works! Using CocoIndex - an Rust-based ultra performant data transformation engine. No blackbox. Works for Claude, Codex, Cursor - any coding agent. Instant token saving by 70%.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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