Upvote Club Remote MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Upvote Club Remote MCPshow my recent upvotes"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Upvote.club — Remote MCP Server
Streamable HTTP MCP server for Claude.ai custom connectors.
Per Anthropic remote MCP docs: add https://YOUR-HOST/mcp in Settings → Connectors → Add custom connector, with X-API-Key request header (upv_...).
Run locally
cd upvote-club-mcp/remote
npm install
UPVOTE_API_KEY=upv_... npm start
# → http://localhost:8787/mcp
curl http://localhost:8787/healthRelated MCP server: mcp-tool-builder
Test with tunnel
npx cloudflared tunnel --url http://localhost:8787
# Add the HTTPS URL + /mcp as custom connector in Claude.aiAuth modes
Per-user (recommended): Claude sends
X-API-Key: upv_...on every request (Request headers in connector settings).Server default: Set
UPVOTE_API_KEYenv var on the host (single shared key — not for production multi-tenant).
Deploy (Heroku example)
cd upvote-club-mcp/remote
heroku create upvote-club-mcp --buildpack heroku/nodejs
git subtree push --prefix upvote-club-mcp/remote heroku mainOr deploy as a separate Heroku app pointing at this folder.
Environment
Variable | Default | Description |
|
| HTTP port |
|
| Bind address |
|
| Backend API |
| — | Optional fallback API key |
Tools
All 7 Public API tools — see ../docs/ENDPOINT_MAP.md.
Security
Use HTTPS in production
Prefer per-user
X-API-Keyheaders over a shared env keyDo not expose without TLS
Privacy
Proxies requests to https://api.upvote.club only. https://upvote.club/privacy-policy
This server cannot be deployed
Maintenance
Related MCP Connectors
Hosted MCP server connecting claude.ai, ChatGPT and other AI apps to your own computer
The Remote MCP server acts as a standardized bridge between LLM applications (like Claude, ChatGPT, and Cursor) and external services, enabling AI agents to access external tools and resources. Its primary capability is providing a centralized search tool to discover other MCP servers and their respective tools. Unlike local implementations, it runs remotely with OAuth authentication and permission controls for security.
Remote MCP server for supportsheep: run AI interviews and manage support content for your blog.
MCP server for progressive tool usage at any scale (see https://klavis.ai)
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