Content
# Ollama MCP Server
[](https://smithery.ai/server/@rawveg/ollama-mcp)
An MCP (Model Context Protocol) server for Ollama that enables seamless integration between Ollama's local LLM models and MCP-compatible applications like Claude Desktop.
## Features
- List available Ollama models
- Pull new models from Ollama
- Chat with models using Ollama's chat API
- Get detailed model information
- Automatic port management
- Environment variable configuration
## Prerequisites
- Node.js (v16 or higher)
- npm
- Ollama installed and running locally
## Installation
### Installing via Smithery
To install Ollama MCP Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@rawveg/ollama-mcp):
```bash
npx -y @smithery/cli install @rawveg/ollama-mcp --client claude
```
### Manual Installation
Install globally via npm:
```bash
npm install -g @rawveg/ollama-mcp
```
### Installing in Other MCP Applications
To install the Ollama MCP Server in other MCP-compatible applications (like Cline or Claude Desktop), add the following configuration to your application's MCP settings file:
```json
{
"mcpServers": {
"@rawveg/ollama-mcp": {
"command": "npx",
"args": [
"-y",
"@rawveg/ollama-mcp"
]
}
}
}
```
The settings file location varies by application:
- Claude Desktop: `claude_desktop_config.json` in the Claude app data directory
- Cline: `cline_mcp_settings.json` in the VS Code global storage
## Usage
### Starting the Server
Simply run:
```bash
ollama-mcp
```
The server will start on port 3456 by default. You can specify a different port using the PORT environment variable:
```bash
PORT=3457 ollama-mcp
```
### Environment Variables
- `PORT`: Server port (default: 3456). Can be used both when running directly and during Smithery installation:
```bash
# When running directly
PORT=3457 ollama-mcp
# When installing via Smithery
PORT=3457 npx -y @smithery/cli install @rawveg/ollama-mcp --client claude
```
- `OLLAMA_API`: Ollama API endpoint (default: http://localhost:11434)
### API Endpoints
- `GET /models` - List available models
- `POST /models/pull` - Pull a new model
- `POST /chat` - Chat with a model
- `GET /models/:name` - Get model details
## Development
1. Clone the repository:
```bash
git clone https://github.com/rawveg/ollama-mcp.git
cd ollama-mcp
```
2. Install dependencies:
```bash
npm install
```
3. Build the project:
```bash
npm run build
```
4. Start the server:
```bash
npm start
```
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## License
MIT
## Related
- [Ollama](https://ollama.ai)
- [Model Context Protocol](https://github.com/anthropics/model-context-protocol)
