mcpField
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Stock Market Research Assistant

Stock Market Research Assistant

Local
github.com/kvssankarAI & Agents1Updated 80w ago

About Stock Market Research Assistant

Stock Market Research Assistant is a collection of MCP servers generated from OpenAPI specifications with OpenAPITools. It provides ready-to-use API tools for MCP-compatible platforms, including Cursor and Claude Desktop.

Key features

  1. 01Servers generated from OpenAPI specs
  2. 02API schemas exposed as MCP tools
  3. 03Ready-to-use server folders
  4. 04Local or self-hosted operation

Use cases

  1. 01Connecting an OpenAPI-described service to an MCP client
  2. 02Using API tools in Cursor
  3. 03Using API tools in Claude Desktop

MCP support

The repository contains MCP servers generated from OpenAPI/Swagger specifications. They expose the corresponding APIs as tools for MCP-compatible clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

🧠 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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.