ollama-mcp

🥈Silver

Ollama MCP Server enables local LLM access for AI assistants. Operations teams benefit from integrating local models with AI agents. Connects to Claude, Cursor, and other AI tools for secure, private AI operations.

133210Updated 1w ago

Intermediate30min to implementautomation

Saves ~50 min per use

Quick InstallView Source

git clone https://github.com/rawveg/ollama-mcp.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/rawveg/ollama-mcp

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Create an MCP Server for Ollama to automate [TASK] in [INDUSTRY]. Use [DATA] to ensure accuracy and relevance. Provide a step-by-step guide for implementation.

Example Output

## MCP Server for Ollama Implementation Guide

### Overview
The MCP Server for Ollama is designed to automate [TASK] in the [INDUSTRY] sector. This guide will walk you through the implementation process using [DATA] to ensure accuracy and relevance.

### Step-by-Step Guide
1. **Installation**: Begin by installing the necessary dependencies and setting up the MCP Server environment.
2. **Configuration**: Configure the server to use [DATA] for accurate automation.
3. **Testing**: Run initial tests to ensure the server is functioning correctly.
4. **Deployment**: Deploy the server to your production environment.
5. **Monitoring**: Set up monitoring tools to track performance and make adjustments as needed.

### Expected Outcomes
- Increased efficiency in [TASK] automation.
- Improved accuracy using [DATA].
- Seamless integration with existing systems.