Indian Markets

An MCP server exposing Indian market and regulatory data from official, openly published sources — NSE's bhavcopy archive, NIFTY Indices constituent files, AMFI's industry NAV file, and a local SEBI enforcement-order corpus.

Built against MCP Python SDK v2 (mcp >= 2.0.0).

Why this one exists

There are already several Indian-market MCP servers (see docs/SURVEY.md for the full landscape review). Almost all of them wrap either yfinance or a paid third-party API, and they compete on live quote coverage.

This server deliberately does not compete there. It covers what the others do not: official primary sources with a clean terms position, plus regulatory data. Where a source will not permit automated access, this server says so and omits the tool rather than working around the block.

What it does and does not cover

Tool	Source	Status
nse_eod_quote	NSE bhavcopy archive	Working — end-of-day only
nse_eod_history	NSE bhavcopy archive	Working — capped at 120 days
list_nse_indices	static list	Working
nse_index_constituents	niftyindices.com CSV	Working — no weights
mf_search_schemes	AMFI NAVAll.txt	Working — ~14,200 schemes
mf_scheme	AMFI NAVAll.txt	Working
mf_nav_history	mfapi.in	Working
sebi_search_orders	local corpus	Working — 25-order sample

Deliberately not implemented, with reasons:

• Live/intraday quotes. nseindia.com/api/quote-equity returns 403 Access Denied to non-browser clients (verified 2026-08-06). Reaching it means forging browser headers to defeat an access control the exchange put there on purpose. Not done.
• Index constituent weights. NSE publishes weights only in factsheet PDFs and a paid data product. The free constituent CSVs carry no weight column, so the tool reports weights_available: false rather than estimating.
• Corporate actions (dividends, splits, bonuses). The spec asked for these. No free source was found that serves them to an automated client under terms that permit it — NSE's corporate-actions endpoint sits behind the same 403. Not implemented rather than half-implemented. See docs/SOURCES.md.

Install

Not yet published to PyPI. From a checkout:

git clone https://github.com/siddharthgaur1/indian-markets-mcp
cd indian-markets-mcp
python -m venv .venv && .venv/bin/pip install -e .

Claude Desktop configuration

{
  "mcpServers": {
    "indian-markets": {
      "command": "/absolute/path/to/indian-markets-mcp/.venv/bin/indian-markets-mcp"
    }
  }
}

On Windows use .venv\\Scripts\\indian-markets-mcp.exe.

The SEBI tool additionally needs a corpus; point it at one with:

"env": { "INDIAN_MARKETS_MCP_SEBI_DB": "/path/to/sebi_orders.db" }

Every other tool works with no API keys and no configuration.

Behaviour guarantees

• No fabricated data. A dead upstream raises a clear error. Missing values stay null; they are never coerced to zero.
• Caching. On-disk SQLite at ~/.cache/indian-markets-mcp/. Settled bhavcopies are cached permanently because they are immutable.
• Rate limiting. One-second minimum interval per host, enforced centrally, with exponential backoff. Not left to the caller.
• Stale-cache fallback. If an upstream is down and a stale cached copy exists, it is served rather than failing — and never presented as live.

Tests

.venv/bin/pytest            # offline tests only (default)
.venv/bin/pytest -m live    # additionally hits real upstream sources

Network-dependent tests are marked live and deselected by default, so CI does not depend on NSE being reachable.

Licence

MIT. Data served by this tool belongs to its publishers (NSE, NIFTY Indices, AMFI, SEBI) and is subject to their terms — see docs/SOURCES.md.