Ollama Integration Server
MCP Ollama server integrates Ollama models with MCP clients, allowing users to list models, get detailed information, and interact with them through questions.
emgeee
Tools
list_models
List all downloaded Ollama models
show_model
Get detailed information about a specific model Args: name: Name of the model to show information about
ask_model
Ask a question to a specific Ollama model Args: model: Name of the model to use (e.g., 'llama2') question: The question to ask the model
README
MCP Ollama
A Model Context Protocol (MCP) server for integrating Ollama with Claude Desktop or other MCP clients.
<a href="https://glama.ai/mcp/servers/h0t3210s62"><img width="380" height="200" src="https://glama.ai/mcp/servers/h0t3210s62/badge" alt="Ollama Server MCP server" /></a>
Requirements
- Python 3.10 or higher
- Ollama installed and running (https://ollama.com/download)
- At least one model pulled with Ollama (e.g.,
ollama pull llama2
)
Configure Claude Desktop
Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json
on macOS, %APPDATA%\Claude\claude_desktop_config.json
on Windows):
{
"mcpServers": {
"ollama": {
"command": "uvx",
"args": [
"mcp-ollama"
]
}
}
}
Development
Install in development mode:
git clone https://github.com/yourusername/mcp-ollama.git
cd mcp-ollama
uv sync
Test with MCP Inspector:
mcp dev src/mcp_ollama/server.py
Features
The server provides four main tools:
list_models
- List all downloaded Ollama modelsshow_model
- Get detailed information about a specific modelask_model
- Ask a question to a specified model
License
MIT
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