Stock Market Research Assistant

Name: Stock Market Research Assistant
Author: kvssankar

@kvssankar

Stock Market Research Assistant 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

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

公開者

kvssankar

投稿者

Sankar kvs

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

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 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.

FAQ from Stock Market Research Assistant

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.

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.

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.