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MCP Server for Ollama

@vincentf305

リポジトリ

MCP Server for Ollama について

MCP server for connecting Claude Desktop to Ollama LLM server

基本情報

カテゴリ

AI とエージェント

ランタイム

python

トランスポート

stdio

公開者

vincentf305

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "ollama-server": {
      "command": "python",
      "args": [
        "-m",
        "src.mcp_server.server"
      ],
      "env": {
        "PYTHONPATH": "path-to-mcp-server"
      }
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Server for Ollama?

MCP Server for Ollama is a Model Control Protocol (MCP) server that enables Claude Desktop to communicate with an Ollama LLM server. It is intended for users who want to run local large language models via Ollama and interact with them through Claude Desktop.

How to use MCP Server for Ollama?

Clone the repository, copy .env.example to .env and configure as needed, then install dependencies with pip install -r requirements.txt. To use with Claude Desktop, edit claude_desktop_config.json to include the server definition, setting the command to python -m src.mcp_server.server and the PYTHONPATH environment variable to the repo path.

Key features of MCP Server for Ollama

  • Integrates Claude Desktop with Ollama via Model Control Protocol
  • Simple setup with pip and a configuration file
  • Allows use of local Ollama models from Claude Desktop
  • Environment variable configuration via .env

Use cases of MCP Server for Ollama

  • Query local Ollama models directly from Claude Desktop
  • Run privacy-preserving LLM interactions without sending data to external APIs
  • Develop and test with different Ollama models through Claude's interface

FAQ from MCP Server for Ollama

What does MCP Server for Ollama do?

It provides a Model Control Protocol server that lets Claude Desktop communicate with an Ollama LLM server for inference.

How do I set it up with Claude Desktop?

Clone the repo, set up .env, install Python dependencies, then add the server entry to claude_desktop_config.json as shown in the README.

What are the dependencies?

Python 3, the packages listed in requirements.txt (install via pip), and access to a running Ollama server.

Does it require Ollama to be installed?

Yes, it communicates with an Ollama LLM server, so Ollama must be running and accessible.

Where are the model weights and data stored?

The MCP server itself doesn’t store them; data is processed by the local Ollama instance according to its own configuration.

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