INDIVIDUAL MCP TOOL
assess_ai_readiness
Assess an organization's readiness to run AI in production across five dimensions (data readiness, workflow ownership, governance and controls, delivery capacity, executive sponsorship), each scored 1-5 with evidence or marked unknown, plus classified candidate use cases.
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 endpoint
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.sophon-consulting]
url = "https://www.sophon.consulting/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"sophon-consulting": {
"type": "http",
"url": "https://www.sophon.consulting/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: sophon-consulting
Remote MCP URL: https://www.sophon.consulting/api/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": {
"sophon-consulting": {
"url": "https://www.sophon.consulting/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"sophon-consulting": {
"type": "http",
"url": "https://www.sophon.consulting/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "sophon-consulting",
"transport": "streamable-http",
"url": "https://www.sophon.consulting/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
triage_ai_opportunity— Score one proposed AI workflow across bottleneck severity, value capture, integration readiness, and risk posture.