Ollama MCP Server with

What is Ollama MCP Server?

Ollama MCP Server is a comprehensive Model Context Protocol (MCP) server for integrating Ollama with advanced features including script management, multi-agent workflows, and process leak prevention. It enables Claude Desktop to interact with locally installed Ollama models through MCP tools.

How to use Ollama MCP Server?

Install with Python 3.8+ and the uv package manager, then configure Claude Desktop using the provided example config file. After updating paths and restarting Claude Desktop, invoke tools like list_ollama_models or run_ollama_prompt directly from the Claude interface.

Key features of Ollama MCP Server

• Async job management for long-running tasks
• Script templates with variable substitution
• Multi-agent workflows: chain, parallel, router, evaluator
• Process leak prevention and resource cleanup
• Comprehensive job tracking and monitoring
• Support for any locally installed Ollama model

Use cases of Ollama MCP Server

• Execute prompts with any Ollama model synchronously or asynchronously
• Create and run reusable prompt templates with variables
• Coordinate multi-agent workflows like chain or parallel
• Compare multiple models side by side
• Batch process multiple prompts efficiently

FAQ from Ollama MCP Server

What are the prerequisites?

Python 3.8+ with the uv package manager, Ollama installed and running, and Claude Desktop for MCP integration.

How do I install the Ollama MCP Server?

Create a virtual environment, add mcp[cli] and python-dotenv, then configure Claude Desktop with the provided example config file and update paths.

What does the server do for process management?

It includes signal handling, background task tracking, resource cleanup, and automatic process termination to prevent process leaks.

How do I troubleshoot a stuck job?

Use the cancel_job tool to stop problematic tasks.

How do I connect to Ollama?

Ollama must be running locally; use ollama serve if needed. List available models with list_ollama_models.