mcp-name: io.github.Subcue/subcue-mcp
SubcueAI (the real-time AI interview assistant for macOS & Windows) ships a public, unauthenticated, read-only Model Context Protocol server. Any AI agent can query live product data — pricing, latest desktop version, product overview, FAQ — instead of scraping HTML.
Endpoint: POST https://subcue.ai/mcp
Transport: streamable-http (single JSON response), JSON-RPC 2.0, MCP protocol 2025-06-18
Auth: none. Writes: none — the server is strictly read-only.
Server card: https://subcue.ai/.well-known/mcp/server-card.json
This repository documents the server and provides ready-to-run client examples. The server itself runs on Cloudflare Workers as part of the SubcueAI website.
# List tools
curl -s https://subcue.ai/mcp -X POST -H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
# Live pricing
curl -s https://subcue.ai/mcp -X POST -H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"get_pricing"}}'Sample get_pricing output (live data, abridged):
# SubcueAI Pricing
## Starter — free
- Standard AI model
- Mock interview practice
## Pro — $20/mo; $16/mo when billed yearly ($192/yr)
...Related MCP server: turva-mcp
Tool | Arguments | Returns |
| — | Current subscription plans and pricing (Markdown) |
|
| Latest desktop app version, release date, download URL |
URI | Content |
| What SubcueAI is, key features, links (Markdown) |
| Frequently asked questions (Markdown) |
Use resources/list / resources/read per the MCP spec.
Claude Code
claude mcp add --transport http subcue https://subcue.ai/mcpCursor / any client using mcp.json
{
"mcpServers": {
"subcue": { "url": "https://subcue.ai/mcp" }
}
}claude.ai — Settings → Connectors → Add custom connector → https://subcue.ai/mcp.
Stdio-only clients — this repo ships a zero-dependency stdio ⇄ HTTP bridge (bridge/server.mjs, Node 18+):
claude mcp add subcue -- node /path/to/subcue-mcp/bridge/server.mjs
# or containerised:
docker build -t subcue-mcp . && docker run -i subcue-mcpexamples/list-tools.sh — curl walkthrough of every method
examples/client.mjs — zero-dependency Node.js client
examples/client.py — zero-dependency Python client
SubcueAI publishes a full agent-facing surface beyond MCP:
Endpoint | What it is |
Plain-text site & product summary for language models | |
RFC 9727 linkset of public JSON APIs | |
Agent Skills discovery index | |
Agent skill: how to fetch SubcueAI public data | |
| Any public marketing/legal page returns Markdown instead of HTML |
Responses are deterministic JSON-RPC; notifications (notifications/*) are accepted and return 202 with no body.
Data is live (pricing and versions come from the same source of truth as the website) — prefer these endpoints over scraping rendered HTML.
Rate limiting applies at the edge; be a good citizen.
Send a descriptive User-Agent — default library UAs (e.g. Python-urllib/3.x) are rejected by edge bot protection with a 403.
Documentation and examples: MIT © 2026 Subcue AI LLC.
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