Ollama Server
MCP Ollama server integrates Ollama models with MCP clients, allowing users to list models, get detailed information, and interact with them through questions.
What is Ollama Server?
Ollama Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp ollama server integrates ollama models with mcp clients, allowing users to list models, get detailed information, and interact with them through questions.
MCP Ollama server integrates Ollama models with MCP clients, allowing users to list models, get detailed information, and interact with them through questions.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP Ollama server integrates Ollama models with MCP clients,
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-ollama-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Ollama Server
What is Ollama Server?
Ollama Server is a Model Context Protocol (MCP) server that mcp ollama server integrates ollama models with mcp clients, allowing users to list models, get detailed information, and interact with them through questions. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Ollama Server?
Follow the installation instructions on the Ollama Server GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Ollama Server?
Ollama Server works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Ollama Server free to use?
Yes, Ollama Server is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Ollama Server in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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