global-chat-agent-discovery

Search and access AI agents across registries via MCP-compatible clients.

Updated Aug 19, 2025
One-click install
npx skills add https://github.com/hoainam183/GR --skill global-chat-agent-discovery-hoainam183
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: global-chat-agent-discovery
Source: https://github.com/hoainam183/GR/tree/main/src/RAG_v2/frontend/chat-companion/.agent/skills/global-chat-agent-discovery
Command: npx skills add https://github.com/hoainam183/GR --skill global-chat-agent-discovery-hoainam183

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @global-chat/mcp-server, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Finding the right AI agents for specific tasks from a large and diverse collection of registries can be challenging. This skill simplifies the process by providing a single source to discover and search for over 18,000 AI agents across multiple registries.

Core Features & Use Cases

  • Agent Discovery: Search for AI agents based on capabilities, protocols, and registries.
  • Protocol Support: Access agents via MCP, A2A, or agents.txt endpoints.
  • Use Case: Need an AI agent for database access? Search and select from a variety of agents, then integrate them directly into your workflow.

Quick Start

Search for AI agents capable of database access using the Global Chat Agent Discovery skill.

Frequently Asked Questions about global-chat-agent-discovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I discover AI agents across multiple registries for a specific task?

To discover AI agents across multiple registries, you can search a centralized index of over 18,000 agents based on capabilities and protocols. This allows you to find suitable agents for specific tasks like database access.

What protocols are supported for AI agent integration?

AI agent integration supports MCP, A2A, and agents.txt endpoints. This multi-protocol support allows you to access and interact with discovered agents directly through your compatible client environment.

Do I need an MCP server to programmatically search for and interact with AI agents?

Yes, you need the @global-chat/mcp-server dependency to perform programmatic searches and direct agent interaction. It provides the required MCP-compatible client interface to streamline agent integration.

How can I integrate an AI agent for database access into my workflow?

You can integrate a database access AI agent by searching the registry for that specific capability, selecting an appropriate match, and connecting via MCP or A2A endpoints. This connects the agent directly into your workflow.

What is the best way to find MCP-compatible AI agents for software engineering tasks?

The best way to find MCP-compatible AI agents is to use a dedicated agent discovery skill that searches over 18,000 registries. It filters agents by protocol support to ensure compatibility with your MCP client.

Can I search for AI agents using agents.txt endpoints?

Yes, you can search for and access AI agents using agents.txt endpoints alongside MCP and A2A protocols. This provides flexible integration options depending on your client's supported protocol.