What are the runtime requirements?
Python 3.10+, Docker and Docker Compose, and Ollama with the `gemma3:4b` model installed.
@jorgesandoval
基本情報
Model Context Protocol (MCP) server integrated with an external inference service (e.g., Ollama/Gemma3) via middleware.
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": {
"simple-mcp-server-jorgesandoval": {
"command": "python",
"args": [
"test_system.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
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。
A hybrid architecture that combines an Anthropic-compatible Model Context Protocol (MCP) server with Ollama (Gemma3:4b) for local inference. It provides a middleware layer to store conversation context in a SQLite database and exposes standard MCP endpoints for tools, resources, and prompts. Designed for developers who want to run open-source models with any MCP client (e.g., Claude Desktop, VS Code extensions).
Install via the provided setup.sh script or manually with Docker and Ollama. After starting the containers, interact via curl POST requests to the middleware at http://localhost:8080/infer with a JSON body containing session_id and content. Alternatively, connect any MCP client directly to the MCP server on port 3000.
GET /health) for monitoringPython 3.10+, Docker and Docker Compose, and Ollama with the `gemma3:4b` model installed.
Context is stored in a SQLite database managed by the MCP server component.
The MCP server communicates over HTTP using the JSON‑RPC 2.0 protocol on port 3000; the middleware listens on port 8080.
Yes, the implementation is fully compatible with any client that adheres to the official MCP specification, including Claude Desktop, VS Code GitHub Copilot, and Cursor.
The README does not describe any authentication or authorization mechanisms.
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