oq-mcp
MCP server exposing OpenQuant India data, screeners, and honest backtests to LLM clients like Claude Desktop.
Tools: get_prices, get_universe, screen_stocks, get_fundamentals_basic,
and the headline run_backtest tool — natural-language-parameterized
backtests with honest Indian-market costs.
pip install oq-mcp
Configure in Claude Desktop:
{
"mcpServers": {
"openquant": { "command": "oq-mcp" }
}
}
Then ask Claude: "Backtest momentum on Nifty 500 with Zerodha costs since 2015."
Part of OpenQuant India — honest, open source quant infrastructure for Indian markets. Apache 2.0.
1 maintainer
Metadata
1 maintainer
Release files for oq-mcp 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| oq_mcp-0.1.0.tar.gz | 9.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| oq_mcp-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.8 kB
Release files / oq_mcp-0.1.0.tar.gz
| Download URL | oq_mcp-0.1.0.tar.gz |
|---|---|
| Size | 9.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / oq_mcp-0.1.0-py3-none-any.whl
| Download URL | oq_mcp-0.1.0-py3-none-any.whl |
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| Size | 9.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
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