Global chat agent discovery

Skill sickn33/agentic-awesome-skills/plugins/agentic-awesome-skills/skills/global-chat-agent-discovery

AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 1,987+ agentic skills. Includes CLI, local MCP, catalog, plugins, and Workbench.

Install

npx -y skills add sickn33/agentic-awesome-skills --skill global-chat-agent-discovery

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What its author says it does

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Discover and search 18K+ MCP servers and AI agents across 6+ registries using Global Chat's cross-protocol directory and MCP server.

SKILL.md

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Global Chat Agent Discovery

Overview

Global Chat is a cross-protocol AI agent discovery platform that aggregates MCP servers and AI agents from 6+ registries into a single searchable directory. This skill helps you find the right MCP server, A2A agent, or agents.txt endpoint for any task by searching across 18,000+ indexed entries. It also provides an MCP server (@global-chat/mcp-server) for programmatic access to the directory from any MCP-compatible client.

When to Use This Skill

Use when you need to find an MCP server for a specific capability (e.g., database access, file conversion, API integration)
Use when evaluating which agent registries carry tools for your use case
Use when you want to search across multiple protocols (MCP, A2A, agents.txt) simultaneously
Use when setting up agent-to-agent communication and need to discover available endpoints

How It Works

Option 1: Use the MCP Server (Recommended for Agents)

Install the Global Chat MCP server to search the directory programmatically from Claude Code, Cursor, or any MCP client.

npm install -g @global-chat/mcp-server

Add to your MCP client configuration:

{
  "mcpServers": {
    "global-chat": {
      "command": "npx",
      "args": ["-y", "@global-chat/mcp-server"]
    }
  }
}

Then ask your agent to search for tools:

Search Global Chat for MCP servers that handle PostgreSQL database queries.

Option 2: Use the Web Directory

Browse the full directory at https://global-chat.io:

Visit the search page and enter your query
Filter by protocol (MCP, A2A, agents.txt)
Filter by registry source
View server details, capabilities, and installation instructions

Option 3: Validate Your agents.txt

If you maintain an agents.txt file, use the free validator:

Go to https://global-chat.io/validate
Enter your domain or paste your agents.txt content
Get instant feedback on format compliance and discoverability

Examples

Example 1: Find MCP Servers for a Task

You: "Find MCP servers that can convert PDF files to text"
Agent (via Global Chat MCP): Searching across 6 registries...
  - @anthropic/pdf-tools (mcpservers.org) — PDF parsing and text extraction
  - pdf-converter-mcp (mcp.so) — Convert PDF to text, markdown, or HTML
  - ...

Example 2: Discover A2A Agents

You: "What A2A agents are available for code review?"
Agent (via Global Chat MCP): Found 12 A2A agents for code review across 3 registries...

Example 3: Check Agent Protocol Coverage

You: "How many registries list tools for Kubernetes management?"
Agent (via Global Chat MCP): 4 registries carry Kubernetes-related agents (23 total entries)...

Best Practices

Use the MCP server for automated workflows and agent-to-agent discovery
Use the web directory for manual exploration and comparison
Validate your agents.txt before publishing to ensure maximum discoverability
Check multiple registries — coverage varies significantly by domain

Common Pitfalls

Problem: Search returns too many results Solution: Add protocol or registry filters to narrow the scope
Problem: MCP server not connecting Solution: Ensure npx is available and run npx -y @global-chat/mcp-server manually first to verify

Related Skills

@mcp-client - For general MCP client setup and configuration
@agent-orchestration-multi-agent-optimize - For orchestrating multiple discovered agents
@agent-memory-mcp - For persisting discovered agent information across sessions

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.