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Stock Market Research Assistant MCP Server

@kvssankar

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

kvssankar

投稿者

Sankar kvs

Stock Market Research Assistant MCP Server について

So I tried out this cool tool I saw in a LinkedIn post — https://openapitools.com. All you need is your API schema (OpenAPI/Swagger), and it automatically generates an MCP schema for you. You can then drop it straight into Claude Desktop (or Cursor, LangChain, etc.) and instantly

#mcp-openapi-openai

Stock Market Research Assistant MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Stock Market Research Assistant MCP Server のツール

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。

概要

What is Stock Market Research Assistant?

Stock Market Research Assistant is an MCP (Model Context Protocol) server built from an OpenAPI/Swagger schema using OpenAPI Tools. It lets users chat with a stock market API through Claude Desktop, Cursor, LangChain, or other MCP-compatible clients.

How to use Stock Market Research Assistant?

Configure the server by setting a x_api_key environment variable (example uses a live key), then add the generated MCP schema to your client. The server runs in stdio mode on port 8000 by default, refreshing tools every 1440 minutes. Start chatting with your stock market API instantly.

Key features of Stock Market Research Assistant

  • Automatically generates MCP schema from any OpenAPI/Swagger schema.
  • Works with Claude Desktop, Cursor, LangChain, and other clients.
  • Supports a custom API key via the x_api_key environment variable.
  • Runs in stdio mode with configurable host, port, and refresh interval.
  • Enables natural‑language queries to your stock market API.

Use cases of Stock Market Research Assistant

  • Rapid prototyping of stock market data queries via conversational interface.
  • Researching stock trends or company fundamentals without writing code.
  • Integrating live stock API data into AI assistants for portfolio analysis.

よくある質問

1

What is the Stock Market Research Assistant?

It is an MCP server that wraps a stock market API (defined by an OpenAPI/Swagger schema) and allows you to interact with it through a conversational AI client.

2

How do I configure the server?

Create a `config.json` with `server_name`, `host`, `port`, `mode`, `refresh_time_minutes`, and `envs` containing your `x_api_key`. The server listens on `0.0.0.0:8000` and uses `stdio` transport.

3

What runtime or dependencies are required?

The README does not list specific runtime dependencies. The server is generated from an OpenAPI schema using OpenAPI Tools and runs as an MCP server; refer to the OpenAPI Tools documentation for prerequisites.

4

Where do the stock market data and API keys live?

The data comes from the external stock market API defined by your schema. API keys are set in the `envs` field of the config and passed to that API.

5

What transport and authentication modes are supported?

The example uses `stdio` mode. Authentication is handled via an `x_api_key` environment variable passed to the upstream stock market API.

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