Everything MCP Server
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., "@Everything MCP ServerAdd 15 and 27"
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.
Everything MCP Server (Remote, deployable to Render.com)
A small personal remote MCP server with four demo tools:
echo— repeats text backadd— adds two numberscurrentTime— returns current UTC timerandomFact— returns a random fun fact
It uses Streamable HTTP transport (not stdio), which is what remote/hosted
MCP servers need — this is different from your local WeatherMCPServer,
which uses stdio and only runs as a subprocess on your own machine.
1. Test locally first (optional but recommended)
npm install
npm startServer starts on http://localhost:3000/mcp. Test it with MCP Inspector:
npx @modelcontextprotocol/inspectorOpen the Inspector UI (usually http://localhost:6274), choose
Streamable HTTP as the transport type, and set the URL to
http://localhost:3000/mcp. Click Connect, then List Tools to see
all four tools and try calling one.
Related MCP server: toolhive-mcp
2. Push this project to GitHub
git init
git add .
git commit -m "Initial commit: everything-mcp-server"Create a new repository on GitHub (via the website), then:
git remote add origin https://github.com/<your-username>/everything-mcp-server.git
git branch -M main
git push -u origin main3. Deploy to Render.com
Go to https://dashboard.render.com and sign in (or create a free account).
Click New → Web Service.
Connect your GitHub account and select the
everything-mcp-serverrepo.Render should auto-detect the
render.yaml(Blueprint) — if it asks, confirm you want to use it. If it doesn't auto-detect, configure manually:Environment: Docker
Plan: Free
Health Check Path:
/health
Click Create Web Service (or Apply if using the Blueprint).
Wait for the build/deploy logs to finish — you'll get a live URL like:
https://everything-mcp-server.onrender.comYour MCP endpoint is:
https://everything-mcp-server.onrender.com/mcp
Note: Render's free tier spins the service down after a period of inactivity and takes ~30-60 seconds to wake back up on the next request — normal for the free plan, not a bug.
4. Connect it to Claude
Remote MCP servers connect through Settings → Connectors → Add custom
connector in Claude (claude.ai or Claude Desktop) — not through
claude_desktop_config.json (that file is only for local stdio servers,
like your weather server).
Open Claude → Settings → Connectors.
Click Add custom connector.
Enter a name (e.g. "My Everything Server").
Enter the URL:
https://<your-app-name>.onrender.com/mcpClick Add, then Connect.
Start a new chat and ask Claude to use one of the tools, e.g.:
"Use the add tool to add 15 and 27" "Give me a random fact using my everything server"
Extending it
Add more tools by copying the server.registerTool(...) pattern in
src/server.js — each tool needs a name, a Zod input schema, and an async
handler that returns { content: [...] }.
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.
MCP server unifying ERPs, CRMs, APIs and knowledge base for Claude, ChatGPT and Gemini.
Remote MCP server exposing SMI Aware tools, resources, and skills over Streamable HTTP.
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