Simple MCP Server
Click on "Install 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., "@Simple MCP Serverwhat is 8 + 7?"
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.
🧮 Simple MCP Server (built with FastMCP)
A "Hello World" MCP (Model Context Protocol) server built with FastMCP — a small calculator server you can talk to over in-memory, HTTP, and STDIO transports, plus a LangGraph ReAct agent that uses its tools.
It exposes:
Type | Name | Description |
🛠️ Tool |
| Add two integers |
🛠️ Tool |
| Subtract |
📄 Resource |
| Returns a template message |
📄 Resource |
| Reads a real file from |
💬 Prompt |
| A reusable "review this code" template |
Project structure
simple-MCP-server-built-with-FastMCP/
├── server.py # the FastMCP server (tools + resources + prompt)
├── client_inmemory.py # test in the same process (no network)
├── client_http.py # connect over HTTP
├── client_stdio.py # spawn the server as a subprocess (STDIO)
├── agent_example.py # LangGraph ReAct agent that uses the tools
├── path/ # files served by the file resource
│ ├── README.txt
│ └── examples.txt
├── requirements.txt
├── .env.example # API key template (for the agent only)
└── README.mdRelated MCP server: MCP Calculator Demo
Setup
cd simple-MCP-server-built-with-FastMCP
python -m venv .venv
# Windows (PowerShell):
.\.venv\Scripts\Activate.ps1
# macOS / Linux:
source .venv/bin/activate
pip install -r requirements.txtRun it
1. Quick test — in-memory (no network, no API key)
python client_inmemory.pyCalls the tools, lists them, reads both resources, and renders the prompt.
2. HTTP transport
Terminal A (start the server):
python server.py http # serves http://127.0.0.1:8000/mcpTerminal B (run the client):
python client_http.py3. STDIO transport
python client_stdio.py # spawns server.py itself — nothing to start first4. ReAct agent (needs an API key)
# one-time: copy the template and add a key
Copy-Item .env.example .env # then edit .env (GROQ_API_KEY is free)
python agent_example.pyThe agent loads the MCP tools, then answers "What is 8 + 7? Use the tools." by
actually calling the add tool.
💡 Groq is free — get a key at console.groq.com. The agent uses Groq if
GROQ_API_KEYis set, otherwise OpenAI.
How MCP transports differ
In-memory — client and server share one Python process (simplest; for testing).
HTTP — server runs as a web service; clients connect by URL (good for remote/shared).
STDIO — client launches the server as a child process and talks over stdin/stdout (good for local tools).
The same tools/resources/prompt work over all three — only the "wire" changes.
Credits
Based on the IBM Skills Network lab "Hello World of MCP Servers." Built with FastMCP, LangGraph, and langchain-mcp-adapters.
This server cannot be installed
Maintenance
Resources
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