What dependencies are required?
Ollama must be running locally. The project uses `uv` for package management; install it separately. Python packages are installed via `uv sync`.
@henkholalh
基本情報
概要はまだありません
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 tutorial and reference implementation that teaches how to build a Model Context Protocol (MCP) server for Yahoo Finance (or any other data source) in roughly 10 minutes. It targets developers who want to learn MCP by creating a practical server.
Clone the repository, create and activate a virtual environment with uv venv, install dependencies with uv sync, then run the inspector with uv run mcp dev server.py, run the agent with uv run agent.py, and optionally install and run Langflow with uv pip install langflow and uv run langflow run. Ensure Ollama is running.
uv for fast Python package and environment management.Ollama must be running locally. The project uses `uv` for package management; install it separately. Python packages are installed via `uv sync`.
Use `uv run mcp dev server.py` to start the MCP inspector with the server loaded.
Yes, `agent.py` is provided and can be run with `uv run agent.py` after starting Ollama.
Yes, Langflow can be installed and launched after setting up the server. See the Langflow documentation for details.
This project is licensed under the MIT License.
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