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Subcue

subcue-mcp

SubcueAI Public MCP Server

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.

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.

Quick start

# 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: OpenAI-Compatible MCP Gateway

Tools

Tool

Arguments

Returns

get_pricing

Current subscription plans and pricing (Markdown)

get_latest_version

platform (optional, e.g. macos-arm64, windows-x64)

Latest desktop app version, release date, download URL

Resources

URI

Content

subcue://overview

What SubcueAI is, key features, links (Markdown)

subcue://faq

Frequently asked questions (Markdown)

Use resources/list / resources/read per the MCP spec.

Claude Code

claude mcp add --transport http subcue https://subcue.ai/mcp

Cursor / 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-mcp

Examples in this repo

Other machine-readable entry points

SubcueAI publishes a full agent-facing surface beyond MCP:

Endpoint

What it is

/llms.txt

Plain-text site & product summary for language models

/.well-known/api-catalog

RFC 9727 linkset of public JSON APIs

/.well-known/agent-skills/index.json

Agent Skills discovery index

/.well-known/agent-skills/subcue-public-info/SKILL.md

Agent skill: how to fetch SubcueAI public data

Accept: text/markdown

Any public marketing/legal page returns Markdown instead of HTML

Notes for agent developers

  • 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.

License

Documentation and examples: MIT © 2026 Subcue AI LLC.

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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