millionco

Install agent skills and MCPs with one API

13
1
100% credibility
Found May 01, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A unified installer for adding skills, MCP servers, and guidance documents to dozens of AI coding agents via a simple command-line tool and library.

How It Works

1
🔍 Discover agent-install

You hear about a handy tool that makes adding superpowers to your AI coding helpers super easy, no matter which one you use.

2
📥 Get the tool

You grab the tool with a quick download, ready to enhance your favorite coding assistants.

3
Pick your coding helper
Add a skill

Grab a new ability from a folder, website, or shared collection to make your helper smarter at tasks.

🔌
Add an MCP server

Connect a helpful service that gives your helper extra knowledge or tools.

4
Install with one click

Watch as it automatically sets everything up perfectly for your chosen helper, feeling magical and effortless.

5
See it in action

Open your coding project and notice your AI helper now knows the new tricks instantly.

🎉 Supercharged coding

Your AI assistant is now more powerful, helping you code faster and better every day.

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Star Growth

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AI-Generated Review

What is agent-install?

agent-install is a TypeScript CLI and Node library that centralizes agent installation for skills, MCP servers, and AGENTS.md sections across 50+ AI coding agents like Cursor, Claude Code, and Zed. You run `npx agent-install skill add owner/repo -a cursor` or `skill.add({source: "owner/repo", agents: ["cursor"]})` to fetch from GitHub shorthands, SSH URLs, well-known endpoints, or local paths, and it writes to each agent's native config—JSONC/YAML/TOML with comments preserved. It eliminates "agent installation failed" errors by handling formats and fallbacks like symlink-to-copy automatically.

Why is it gaining traction?

Unlike per-agent CLIs that require learning unique commands and configs, agent-install offers one API/CLI for everything, auto-detecting installed agents or targeting via `-a *`. Skills install via shallow clones or direct SKILL.md fetches; MCPs parse npm packages, commands, or remotes into agent-specific shapes. Developers love the shorthand sources (e.g., `owner/repo@branch`) and global/project scopes without "agent installation failed error code 0x0" headaches in Intune or ManageEngine setups.

Who should use this?

Dev tool builders scripting agent installs for OpenShift or GitHub Actions. Teams standardizing MCPs across Cursor and VS Code. Solo devs quickly adding skills to Claude Code or agent-browser without manual config tweaks.

Verdict

Grab it for prototyping—crisp docs and CLI make agent installation endpoint central, but with 13 stars and 1.0% credibility, it's pre-1.0 and best pinned for prod. Solid foundation if you're in the AI agent space.

(187 words)

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