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ai-agent-directory

A directory of AI Agents and MCP Orchestration open source tools

Install / Use

claude mcp add AgentMCP -- npx -y github:AgentMCP/ai-agent-directory

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

59/100

Supported Platforms

Claude Code
Claude Desktop

Tags

Our assessment of ai-agent-directory

ai-agent-directory scores 59/100 on our quality scale, 927th of 965 AI & Machine Learning skills we index.

Its MCP Server is 2.0 KB long, well organised into 12 sections with 2 code examples: moderately detailed.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
20/30
Structure
18/20
Description
12/15
Adoption
4/20
Freshness
5/15

Maintenance, license and trust

  • The repository was last updated about 1.6 years ago. Expect some instructions to reference tool versions or APIs that have since changed.
  • Our last check on 2026-09-29 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

ai-agent-directory compared with similar skills

All 4 of these similar skills score higher than ai-agent-directory; compare them before choosing.

SkillScoreStarsUpdatedFormat
ai-agent-directory (this skill)by AgentMCP591020mo agoMCP Server
claude-memby thedotmack100113.5ktodayCLAUDE.md
Agent-Reachby Panniantong100109.2ktodayCLAUDE.md
Understand-Anythingby Egonex-AI10090.9k10d agoCLAUDE.md
headroomby headroomlabs-ai10078.9ktodayCLAUDE.md

Frequently asked questions

How do I install ai-agent-directory?
Run claude mcp add AgentMCP -- npx -y github:AgentMCP/ai-agent-directory. The install tabs above show the steps for each supported agent.
Which AI agents does ai-agent-directory work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is ai-agent-directory safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is ai-agent-directory still maintained?
The repository was last updated about 1.6 years ago. Expect some instructions to reference tool versions or APIs that have since changed.

Welcome to Agent MCP

An open source project directory that solely focusses on ai agents. While we love huggingface we noticed it focussed on LLMs and datasets. Agent MCP focusses on AI Agents and MCP orchestration. update 16-3-2024: added support for CursorAI, Windsurf AI and Trey AI

Project info

URL: www.agentmcp.ai

How can I edit this code?

There are several ways of editing your application.

Use your preferred IDE

If you want to work locally using your own IDE, you can clone this repo and push changes. Pushed changes will also be reflected in Lovable.

The only requirement is having Node.js & npm installed - install with nvm

Follow these steps:

# Step 1: Clone the repository using the project's Git URL.
git clone <YOUR_GIT_URL>

# Step 2: Navigate to the project directory.
cd <YOUR_PROJECT_NAME>

# Step 3: Install the necessary dependencies.
npm i

# Step 4: Start the development server.
npm run dev

Firebase Authentication Setup

This project uses Firebase for authentication and storing user search history. To set up Firebase:

  1. Create a Firebase project at Firebase Console
  2. Enable Google Authentication in the Authentication section
  3. Create a Firestore database in the Firestore section
  4. Get your Firebase configuration from Project Settings > General > Your Apps > SDK setup and configuration
  5. Copy the .env.example file to .env.local and fill in your Firebase configuration values
# Copy the example env file
cp .env.example .env.local

# Edit the .env.local file with your Firebase configuration

What technologies are used for this project?

This project is built with .

  • Vite
  • TypeScript
  • React
  • shadcn-ui
  • Tailwind CSS

Features

  • Browse and search for AI Agent and MCP repositories
  • Bulk import repositories from GitHub
  • User authentication with Google
  • Save search history for registered users
  • View and re-import previous searches

Related Skills

View on GitHub
GitHub Stars10
CategoryAI
Updated1y ago
Forks4

Languages

TypeScript

Trust signals

80/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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