Ollama MCP Chat
About
Ollama MCP Chat is a desktop chatbot application that integrates Ollama's local LLM models with MCP (Model Context Protocol) servers
Details
- License
- MIT
Explore
- Run Ollama LLM models locally for free
- Integrate and call various tools via MCP servers
- Manage and save chat history
- Real-time streaming responses and tool call results
- Intuitive desktop GUI (PySide6-based)
- GUI support for adding, editing, and removing MCP servers
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
Ollama MCP ChatCommand (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
1. Clone the repository
git clone https://github.com/your-repo/ollama-mcp-chat.git
cd ollama-mcp-chat
2. Install uv (if not installed)
uv sync
4. Install Ollama and download a model
- recommend qwen3:14b
ollama pull <model-name>
5. MCP server configuration (optional)
- Add MCP server information to the mcp_config.json file
- Example:
{
"mcpServers": {
"weather": {
"command": "python",
"args": ["./mcp_server/mcp_server_weather.py"],
"transport": "stdio"
}
}
}
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"ollama mcp chat": {
"ollama-mcp-chat": {
"command": "uv",
"args": [
"sync"
]
}
}
}
}McpServers
{
"ollama-mcp-chat": {
"command": "uv",
"args": [
"sync"
]
}
}Ollama MCP Chat is a desktop chatbot application that integrates Ollama's local LLM models with MCP (Model Context Protocol) servers, supporting various tool calls and extensible features. It provides a GUI based on Python and PySide6, and allows you to freely extend its capabilities via MCP servers.
This project can be very useful as base code for developers who want to create AI applications with GUI in Python.
Key Features
- Run Ollama LLM models locally for free
- Integrate and call various tools via MCP servers
- Manage and save chat history
- Real-time streaming responses and tool call results
- Intuitive desktop GUI (PySide6-based)
- GUI support for adding, editing, and removing MCP servers
System Requirements
- Python 3.12 or higher
- Ollama installed (for local LLM execution)
- uv (recommended for package management)
- MCP server (can be implemented or use external MCP servers)
- smithery.ai (recommended for MCP repository)
Installation
1. Clone the repository
git clone https://github.com/your-repo/ollama-mcp-chat.git
cd ollama-mcp-chat
2. Install uv (if not installed)
```bash
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