Server data from the Official MCP Registry
Public read-only MCP for SubcueAI: live pricing, latest desktop version, overview and FAQ.
About
Public read-only MCP for SubcueAI: live pricing, latest desktop version, overview and FAQ.
Remote endpoints: streamable-http: https://subcue.ai/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
2 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-subcue-subcue-mcp": {
"url": "https://subcue.ai/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
SubcueAI Public MCP Server
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.
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)
...
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.
Connect from popular clients
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
examples/list-tools.sh— curl walkthrough of every methodexamples/client.mjs— zero-dependency Node.js clientexamples/client.py— zero-dependency Python client
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 return202with 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 a403.
License
Documentation and examples: MIT © 2026 Subcue AI LLC.
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