MCP Playground
A playground for MCP implementations featuring multiple microservices, including news and weather examples.
MCP Playground
Table of Contents
- Description
- Requirements
- Technologies and Tools
- Local Installation Instructions
- Available Make Commands
- Connecting with Claude Desktop
Description
This project is a playground for MCP (Model Context Provider) implementations, featuring multiple microservices including a News MCP and Weather MCP. The services are implemented using MCP with stdio transport, providing a simple and efficient way to expose functionality through standard input/output streams.
Requirements
- Python 3.12
uvpackage manager- Virtual environment support
Technologies and Tools
mcp[cli]: Model Context Provider for service communicationhttpx: Modern HTTP client for Pythonpython-dotenv: Environment variable management
Local Installation Instructions
- Clone the repository:
git clone https://github.com/RonFelsenfeld/mcp-playground.git
cd mcp-playground
- Set up the virtual environment and install dependencies:
make setup
- Activate the virtual environment:
source .venv/bin/activate
- Sync dependencies:
make sync
-
Run the MCP services:
- To run the News MCP service:
python -m src.news_mcp.main- To run the Weather MCP service:
python -m src.weather_mcp.main
Available Make Commands
make setup: Creates a new virtual environmentmake activate: Shows activation command for the virtual environmentmake sync: Syncs project dependenciesmake freeze-dependencies: Freezes current dependencies to requirements.txtmake clean: Removes virtual environment and lock files
Connecting with Claude Desktop
This project can be connected to Claude Desktop to test and interact with the MCP services using Anthropic's Model Context Protocol (MCP).
-
Install Claude Desktop, available here
-
Open Claude, go to Settings -> Developer
-
Click "Edit Config"
-
Open "claude_desktop_config.json" file
-
Copy-paste the following JSON inside the file:
{
"mcpServers": {
"weather": {
"command": "<ABSOLUTE_PATH_TO_UV>",
"args": [
"--directory",
"<YOUR_PROJECT_PATH>",
"run",
"-m",
"src.weather_mcp.main"
]
},
"news": {
"command": "<ABSOLUTE_PATH_TO_UV>",
"args": [
"--directory",
"<YOUR_PROJECT_PATH>",
"run",
"-m",
"src.news_mcp.main"
],
"env": {
"NEWS_API_KEY": "<YOUR_NEWS_API_KEY>"
}
}
}
}
Replace:
<ABSOLUTE_PATH_TO_UV>with the absolute path to youruvexecutable (from thewhich uvcommand)<YOUR_PROJECT_PATH>with the absolute path to your project directory
For the News MCP service, you'll need a News API key from newsdata.io. You can get a free API key by:
- Creating an account at newsdata.io
- Going to your dashboard
- Generating a new API key
After generating you API key, replace <YOUR_NEWS_API_KEY> with it.
Похожие серверы
Alpha Vantage MCP Server
спонсорAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Devici MCP Server
Manage threat models, components, and security data on the Devici platform.
MCP-Insomnia
An MCP server for AI agents to create and manage API collections in Insomnia-compatible format.
DevServer MCP
Manages development servers for LLM-assisted workflows, offering programmatic control through a unified TUI and experimental browser automation via Playwright.
DevBrain
Finds relevant code snippets, developer articles, and blog posts based on your queries.
MCP Ai server for Visual Studio
Visual Studio extension with 20 Roslyn-powered MCP tools for AI assistants. Semantic code navigation, symbol search, inheritance, call graphs, safe rename, build/test.
MATLAB
Execute MATLAB scripts and functions via MCP clients. Requires a local MATLAB installation.
Guardian MCP
Engineering discipline and persistent memory for AI coding assistants
SeedDream 3.0 Replicate
Generate images using Bytedance's SeedDream 3.0 model via the Replicate platform.
Text2Sim MCP Server
A multi-paradigm simulation engine for Discrete-Event and System Dynamics, enabling natural language-based simulations via MCP.
Wirekitty
Let your agents generate wireframes for your next app or feature, make iterations, and build off approved designs.