🧠 Advanced MCP Server Setup with
About
Advanced MCP Server Setup with uv, llama-index, ollama, and Cursor IDE
Details
- Author
- sidhyaashu
- Downloads
- 345
- Categories
- AI, Knowledge Base
Jump to
- Uses uv for fast, reproducible Python dependency management
- Integrates LlamaIndex with HuggingFace embeddings and Ollama LLMs
- Runs a local LLM backend via Ollama at localhost:11434
- Configurable MCP server inside Cursor IDE
- Environment variables stored in a .env file
- Optional ipykernel for notebook usage
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
🧠 Advanced MCP Server Setup withCommand (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
What are the prerequisites?
Python 3.10+, uv (Astral) installed globally, Ollama installed and running, and Cursor IDE installed.
How do I install the required dependencies?
Inside the virtual environment, run: uv add mcp[cli] httpx linkup-sdk llama-index llama-index-embeddings-huggingface llama-index-llms-ollama ipykernel.
How do I run the server after configuration?
Open any .py file in Cursor and use the MCP tools (accessible via ⌘K or Ctrl+K). The server is named "weather" in the configuration example.
Where does
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"\ud83e\udde0 advanced mcp server setup with": {
"ollama-mcp-integration": {
"command": "uv",
"args": [
"init",
"mcp-server"
]
}
}
}
}McpServers
{
"ollama-mcp-integration": {
"command": "uv",
"args": [
"init",
"mcp-server"
]
}
}🧠 Advanced MCP Server Setup with uv, llama-index, ollama, and Cursor IDE
---
✅ Prerequisites
- [x] Python 3.10+ installed
- [x] uv (by Astral) installed globally (pip install uv)
- [x] Ollama installed and running locally
- [x] Cursor IDE installed
---
🛠 Step 1: Project Setup
1.1 Create a New Project Directory
uv init mcp-server
cd mcp-server
1.2 Create and Activate Virtual Environment
```bash
uv venv
.venv\Scripts\activate # On Windows
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