FinStack MCP
Wire Claude Code or Cursor to live NSE/BSE quotes, fundamentals, and analytics while you validate a fintech or investing side project for the Indian market.
Overview
FinStack MCP is an Idea-phase MCP server that gives coding agents India-first NSE/BSE fundamentals, analytics, and market-research workflows via stdio.
What is this MCP server?
- India-first coverage for NSE and BSE symbols and workflows
- Fundamentals and analytics-oriented tools for solo research loops
- stdio MCP package finstack-mcp on PyPI (registry version 0.3.2)
- Designed for agent-driven market research rather than manual terminal hopping
- Pairs with validation notes, memos, and scope docs in the same chat session
- Server schema version 0.3.2
- PyPI identifier finstack-mcp at package version 0.3.2
- Transport: stdio
Community signal: 9 GitHub stars.
What problem does it solve?
Indian market research from an agent chat means custom APIs, brittle scripts, and tab switching instead of one research thread.
Who is it for?
Solo builders validating India-focused investing, fintech, or data products who want exchange-aware research inside the agent.
Skip if: Teams needing regulated production trading, global-only tick data, or compliance-grade market-data licensing without their own vendor contracts.
What do I get? / Deliverables
After you register finstack-mcp, agents can pull NSE/BSE-oriented fundamentals and analytics while you draft validation memos in the same session.
- Agent-accessible NSE/BSE research and fundamentals context in chat
- Faster iteration on Idea-phase market memos without one-off scripts
- Repeatable stdio MCP registration you can copy across dev machines
Recommended MCP Servers
Journey fit
Market research and competitor-style screening on listed Indian equities belong in Idea before you commit to a product thesis or dataset strategy. Research is the canonical shelf for pulling exchange data, screeners, and fundamental context—not full production trading infrastructure.
How it compares
Finance data MCP for Indian equities research, not a generic web-scraping skill or portfolio backtest CLI.
Common Questions / FAQ
Who is FinStack MCP for?
Indie and solo builders using Claude Code, Cursor, or Codex who need NSE/BSE fundamentals and analytics while researching Indian market ideas.
When should I use FinStack MCP?
Use it in the Idea research subphase when you are screening symbols, checking fundamentals, or drafting validation notes before building a fintech or markets product.
How do I add FinStack MCP to my agent?
Install the PyPI package finstack-mcp (0.3.2), add a stdio MCP server entry pointing at that package in your Claude Code or Cursor MCP config, then restart the agent.