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TL;DR

Ollama is a AI & ML MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent run local LLMs via Ollama server. Install in 1 minute with mcpizy install ollama.

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Ollama

AI & ML

Last updated May 30, 2026 · By MCPizy team

Run local LLMs via Ollama server

Install Ollama

Via MCPizy CLI (recommended):
mcpizy install ollama
Or run directly:
npx -y ollama-mcp

Works with

Claude Code
Claude Desktop
Cursor
Windsurf
VS Code + Copilot
Any MCP Client

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Key Takeaways

  • Ollama exposes an MCP interface for ai & ml workflows in Claude Code, Cursor and Windsurf.
  • No authentication required — works out of the box once installed.
  • Install in 1 command: mcpizy install ollama — config written to your client automatically.
  • Free and open source — verified compatible with every MCP client (Claude Code, Claude Desktop, Cursor, Windsurf, VS Code + Copilot).
  • Best use case: automate ai & ml workflows from your AI agent without leaving the editor.

Frequently asked questions

What is the Ollama MCP server?

The Ollama MCP server is an AI & ML Model Context Protocol server that lets Claude Code, Cursor, Windsurf, VS Code with Copilot, and other MCP-compatible AI agents run local LLMs via Ollama server. It exposes Ollama's capabilities as tools the AI can call directly from your editor or CLI.

How do I install Ollama MCP with Claude Code?

The fastest way is the MCPizy CLI: run `mcpizy install ollama` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y ollama-mcp` and restarting Claude Code.

Is Ollama MCP free?

Yes. The Ollama MCP server is free and open source. You may still need a Ollama account or API key to connect the server to the underlying service, but the MCP layer itself has no MCPizy subscription cost.

Does Ollama MCP work with Cursor and Windsurf?

Yes. Any MCP-compatible client works — including Claude Code, Claude Desktop, Cursor (via `.cursor/mcp.json`), Windsurf, VS Code with Copilot Chat, and custom agents built on the MCP SDK. The same install command targets all of them; only the config file path differs.

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What can I do with Ollama MCP?

Once installed, your AI agent can run local LLMs via Ollama server directly inside your conversation. Typical use cases include asking Claude Code or Cursor to run Ollama operations, inspect results, chain Ollama with other MCP servers (see our Workflow Recipes), and automate repetitive ai & ml tasks without leaving your editor.