---
title: "Tapetide-hq/nse-bse-indian-stock-market-data-mcp | Repository | AtlasRepo"
description: "Catalog record for Tapetide-hq/nse-bse-indian-stock-market-data-mcp. Inspect the source, license, requirements and unknowns before choosing."
image: "https://atlasrepo.com/og/atlasrepo.png?v=folded-map-20261108"
---

[AtlasRepo](/catalog)

# Tapetide-hq/nse-bse-indian-stock-market-data-mcp

## Evidence and unknowns

**Evidence scope:** Catalog metadata only. Documentation review, source inspection and execution are not established by this record.

**Verification date:** Not provided

**Verification freshness and method:** No dated verification supplied.

**Catalog record date:** 2026-07-24

**Repository update date:** 2026-09-05

**Freshness:** Record older than 30 days. Recheck upstream.

**License identifier:** Not provided

**Requirements reported by catalog:** Looks straightforward to evaluate: it exposes implementation signals such as API/SDK/CLI, language metadata, or focused topics.

**Limitations reported by catalog:** No major metadata risk found, but license, security posture, and active maintainers still need final review.

[Inspect the primary source](https://github.com/Tapetide-hq/nse-bse-indian-stock-market-data-mcp)

License source not supplied. Check the license and terms upstream.

Catalog descriptions and adoption notes are unverified reports. They do not establish a source review or a successful run. Confirm the license and requirements upstream.

## Description and use

**Project Summary:**

The Tapetide-hq/nse-bse-indian-stock-market-data-mcp is an open-source project that provides a server for the Model Context Protocol (MCP) to access Indian stock market data from NSE and BSE. It enables search, screening, and analysis of over 8,200 stocks using 34 tools, making it a valuable resource for AI assistants and developers. This project facilitates the connection of AI agents to real tools and data through a standard protocol.

**Value Proposition:**

The primary value proposition of this project is to help connect AI assistants to real tools and data through a standard protocol, making it easier for developers to integrate AI agents with various data sources. This enables the creation of more sophisticated and accurate AI models that can make informed decisions based on real-time data.

**Practical Adoption Path:**

The adoption path for this project is straightforward. Developers can start by evaluating the implementation signals, such as API/SDK/CLI, language metadata, or focused topics, to understand how the project can be integrated into their existing systems. They can then use the MCP server to access Indian stock market data and leverage the 34 tools provided to analyze and screen stocks. This can be achieved by following these steps:

- Evaluate the implementation signals

## Use in a workflow

Tapetide-hq/nse-bse-indian-stock-market-data-mcp helps connect AI assistants to real tools and data through a standard protocol.

- connect AI agents to tools
- ship Model Context Protocol servers
- standardize integrations

## Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

- Source: github
- Language: JavaScript

[Original source](https://github.com/Tapetide-hq/nse-bse-indian-stock-market-data-mcp)

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