INDIVIDUAL MCP TOOL
assess_ai_readiness
Produce a deterministic, indicative AI-readiness assessment from the supplied organization profile.
LIVE ENDPOINT
https://agencyai-mcp.vercel.app/mcp
Connect to this endpoint to inspect the live schema for assess_ai_readiness 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.agencyai-commerce]
url = "https://agencyai-mcp.vercel.app/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"agencyai-commerce": {
"type": "http",
"url": "https://agencyai-mcp.vercel.app/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: agencyai-commerce
Remote MCP URL: https://agencyai-mcp.vercel.app/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": {
"agencyai-commerce": {
"url": "https://agencyai-mcp.vercel.app/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"agencyai-commerce": {
"type": "http",
"url": "https://agencyai-mcp.vercel.app/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "agencyai-commerce",
"transport": "streamable-http",
"url": "https://agencyai-mcp.vercel.app/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
get_service_offerings— Read AgencyAI's current AI operations service catalog and return packages matching a client profile.book_consultation— Submit a consultation request preview.