Dictionary Lookup MCP Server
A minimal Model Context Protocol server built with the official Python SDK. It exposes one tool, define, which looks up the definition of an English word using the free dictionaryapi.dev API.
README
Dictionary Lookup MCP Server
A minimal Model Context Protocol server
built with the official Python SDK. It exposes one tool, define, which looks
up the definition of an English word using the free
dictionaryapi.dev API.
This project was built as a learning exercise to understand how MCP servers are structured, how they communicate with clients, and how to deploy one publicly.
What it does
- Exposes a single tool:
define(word: str) -> str - Given a word, returns its part of speech and definition
- No API key or authentication required
Requirements
- Python 3.10+
- uv (recommended) or pip
Setup (local)
# 1. Clone this repo
git clone <your-repo-url>
cd my-mcp-server
# 2. Install dependencies
uv sync
Running it locally
Option A — MCP Inspector (visual testing tool, easiest for beginners):
uv run mcp dev server.py
This opens a browser-based inspector where you can call the define tool
directly and see the request/response without needing a full AI client.
Option B — Connect to Claude Desktop:
Add this to your Claude Desktop config file
(claude_desktop_config.json):
{
"mcpServers": {
"dictionary-lookup": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/my-mcp-server",
"run",
"server.py"
]
}
}
}
Restart Claude Desktop, then ask something like: "Use the dictionary tool to define 'ephemeral'."
Usage example
Input: define("ephemeral")
Output: ephemeral (adjective): lasting for a very short time.
Deployment
This server is published on Smithery: <link once deployed>
To deploy your own copy:
- Push this repo to GitHub.
- Ensure
server.pysupports thestreamable-httptransport for remote hosting. - Host it (e.g. Render/Railway) or use Smithery's publish flow.
- On Smithery, choose "Publish via URL" and point it at your hosted server's endpoint.
Why this project
Built to learn the fundamentals of MCP: how a client discovers a server's tools, how a tool call is made and answered, and how a working server gets shared publicly through a marketplace like Smithery.
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