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., "@GNews MCP Serversearch for latest AI developments in tech news"
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.
Mock MCP Documentation Server
This repository contains a minimal Model Context Protocol (MCP) server that
exposes a single tool: get_documentation_from_database.
Files added:
mock_doc_server.py— FastMCP server exposingget_documentation_from_databasewhich returns mocked documentation records.requirements.txt— minimal Python dependency pin for the MCP SDK.
Quick start
Create a virtual environment and install dependencies:
python -m venv .venv
.venv\Scripts\activate # Windows
pip install -r requirements.txtRun the server (stdio transport):
python mock_doc_server.pyThe server listens on STDIO and is intended to be connected to by an MCP client (for example, an MCP client implementation or an MCP-capable host like Claude).
If you want a streamable HTTP/SSE server or to mount this server in an ASGI app, see the examples in the MCP Python SDK docs.
Basic project
Provide a short description here.
Setup
Create a virtual environment
Install dependencies
Run your app/tests
Notes
Update equirements.txt as you add packages.
GNews MCP Server
This workspace includes gnews_mcp.py — a FastMCP server that wraps the GNews
API Search and Top Headlines endpoints. Quick usage:
Install dependencies:
python -m venv .venv
.venv\Scripts\activate # Windows
pip install -r requirements.txtSet your GNews API key in the environment:
setx GNEWS_API_KEY "<your_api_key>"
# or for current session only:
$env:GNEWS_API_KEY = "<your_api_key>"Run the server (streamable HTTP transport):
python gnews_mcp.pyThe server exposes two tools:
search(query, max=10, lang=None, country=None)— GNews Searchtop_headlines(topic=None, max=10, lang=None, country=None)— Top Headlines
See gnews_mcp.py for structured response models and usage notes.
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