INDIVIDUAL MCP TOOL
search_resources
Search MCP servers and Skills by name, bilingual summary, capability, category, or industry.
LIVE ENDPOINT
https://aiworkshub.io/mcp
Connect to this endpoint to inspect the live schema for search_resources and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.aiworkshub-registry]
url = "https://aiworkshub.io/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"aiworkshub-registry": {
"type": "http",
"url": "https://aiworkshub.io/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: aiworkshub-registry
Remote MCP URL: https://aiworkshub.io/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"aiworkshub-registry": {
"url": "https://aiworkshub.io/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"aiworkshub-registry": {
"type": "http",
"url": "https://aiworkshub.io/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "aiworkshub-registry",
"transport": "streamable-http",
"url": "https://aiworkshub.io/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
list_resources— List public MCP servers and Skills with capability, readiness, evidence, trust, and pagination filters.get_resource— Read one resource with its capability profile, evidence, operation impact, provenance, and usage observations.publish_resource— Publish or syndicate one MCP server or Skill.update_resource— Update an existing MCP server or Skill by resource_id or canonical_url.report_usage— Report a real resource execution result using a stable idempotency key.submit_review— Submit a structured post-use observation without a permanent quality score.