Edonyzpc MCP
About
MCP is a collection of Model Context Protocol servers and clients designed for use with large language models. It includes a weather server for US weather data and an SSE-based server and client for demonstration purposes.
Details
- Author
- edonyzpc
- Downloads
- 153
- Categories
- Other
Jump to
- Weather server for US weather data
- SSE-based server and client demo
- MCP client for interacting with weather server
- Inspector tool for MCP server debugging
- Uses uv for project management
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Edonyzpc MCPCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Initialize a project with uv init --python=3.10 ., create a virtual environment with uv venv and activate it, then install dependencies using uv add dashscope httpx mcp python-dotenv langchain langchain-core langchain-mcp-adapters langchain-community langgraph. Create servers under servers/ and clients under clients/. Run the SSE server with uv run sse --port 8000, the SSE client with uv run sse-client, and the weather client with uv run ./clients/mcp-client/client.py ./servers/weather-server-mcp/weather.py.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"edonyzpc mcp": {
"mcp-edonyzpc": {
"command": "uv",
"args": [
"init",
"--python=3.10",
"."
]
}
}
}
}
McpServers
{
"mcp-edonyzpc": {
"command": "uv",
"args": [
"init",
"--python=3.10",
"."
]
}
}
MCP
Personal MCP Servers and Clients for LLMSetup
1. init the project withuv
uv init --python=3.10 .
touch .gitignore .env
cat << EOF >> .gitignore
.env
.venv/
__pycache__/
EOF
2. init python virtual environment
uv venv
source .venv/bin/activate
3. install dependencies
uv add dashscope httpx mcp python-dotenv langchain langchain-core langchain-mcp-adapters langchain-community langgraph
4. new a uv workspace as follows:
mkdir servers/sse_mcp
cd servers/sse_mcp
uv init --python=3.10 .
MCP Server
MCP Server Weather
This is the MCP server for the Weather service to get US weather data.Project
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