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Stock Market Research Assistant

by kvssankar
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🧠 MCP Servers Built with OpenAPITools

This repository contains ready-to-use MCP (Model Context Protocol) servers generated using OpenAPITools — a platform to convert your OpenAPI/Swagger specs into AI-compatible tools and servers.

Each folder here represents an individual MCP server built from a specific OpenAPI spec. These MCP servers can be used directly in tools like Cursor, Claude Desktop, or any other platform that supports MCP.

🚀 What is MCP?

Model Context Protocol (MCP) allows you to expose your APIs in a way that large language models can understand and interact with directly — without writing complex wrappers.

OpenAPITools supports generating MCP servers out of the box. This means you can:

  • Use your own APIs with AI agents.
  • Run them locally or self-hosted.
  • Use them for free inside LLM IDEs like Cursor or tools like Claude Desktop.

🔧 Tools Used

All MCP servers here are generated using:

👉 OpenAPITools
Docs: https://docs.openapitools.com/mcp

You can also generate your own tools from Swagger/OpenAPI specs and download them as MCP servers.

📁 Repo Structure

This server cannot be installed

-
security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

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 start chatting with

  1. 🚀 What is MCP?
    1. 🔧 Tools Used
      1. 📁 Repo Structure

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        New MCP Servers

        MCP directory API

        We provide all the information about MCP servers via our MCP API.

        curl -X GET 'https://glama.ai/api/mcp/v1/servers/kvssankar/openapitools-mcp'

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