Quant Context MCP Server
QuantContext is an MCP server that turns plain-English strategy descriptions into executable quant research: screen stocks by any criteria, backtest over historical data, and run factor analysis to see where the returns come from. Every number is computed from real market data, not generated by an LLM. Results are fully reproducible. Its 3 documented tools cluster into screen, backtest, factor.
People connecting finance tools to Claude, Cursor, VS Code, or another MCP client. The project is written in Python.
VERIFIED ACTIVE
LAST COMMIT 2026-07-01 · ★ 9 · #163 OF 283 MAINTAINED FINANCE · VERIFIED 2026-08-25
MIT · Python servers · how we verify → /methodology
01 · Install Quant Context
before you install - you'll need
The README does not document required environment variables for a basic install.
Claude Code
claude mcp add zomma-dev-quantcontext-mcp-server -- uvx quantcontext-mcp Claude Desktop / Cursor / VS Code - add to config
{
"mcpServers": {
"zomma-dev-quantcontext-mcp-server": {
"command": "uvx",
"args": [
"quantcontext-mcp"
]
}
}
} Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.
Using another client? Same JSON, different key
Claude Desktop · mcpServers
Cursor · mcpServers
VS Code · servers
Windsurf · mcpServers
Zed · context_servers
Cline · mcpServers
Roo Code · mcpServers
Continue · mcpServers
LibreChat · mcpServers
Gemini CLI · mcpServers
Codex CLI · mcp_servers
Full setup guides: every client.
02 · Evidence
Security posture
What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.
runs as local process (stdio) - runs on your machine with your user's permissions
license MIT - declared in the repository
pypi package quantcontext-mcp - check the name against the project README before installing (PyPI has no namespace ownership)
registry namespace io.github.zomma-dev is GitHub-verified and matches the repo owner
03 · What Quant Context can do
Prose above is summarized from the project's README and registry record - no invented capabilities.
What you can build
An agent gets 3 documented tools across screen, backtest, factor, including screen_stocks, backtest_strategy, factor_analysis.
The 3 tools it gives your agent
Extracted from the project's README - what QuantContext lets an agent do.
- screen_stocks
- - Filter S&P 500, Nasdaq 100, or Russell 2000 by fundamentals, momentum, quality, technical signals, or a multi-factor blend. Returns ranked candidates.
- backtest_strategy
- - Test a strategy over history with a rebalance-loop engine. Returns CAGR, Sharpe, max drawdown, equity curve, and trade log.
- factor_analysis
- - Decompose strategy returns into Fama-French factors (market, size, value, momentum). Returns alpha with t-statistic, factor loadings, and R-squared.
04 · Who maintains Quant Context
QuantContext is maintained by zomma-dev. It's the only MCP server we track from this author; the repo dates to Mar 2026.
05 · Facts
- repository
- github.com/zomma-dev/quantcontext-mcp-server
- website
- https://quantcontext.ai/
- category
- finance - ranked #163 of 283 actively-maintained finance servers as of 2026-08-25.
- registry
- io.github.zomma-dev/quantcontext (active, first published 2026-03-08)
- packages
- pypi:quantcontext-mcp
06 · Quant Context FAQ
Is Quant Context still maintained?
Yes - as of 2026-08-25, its last commit was 2026-07-01. We re-verify nightly.
What can Quant Context do?
An agent gets 3 documented tools across screen, backtest, factor, including screen_stocks, backtest_strategy, factor_analysis.
How do I install Quant Context?
Run `uvx quantcontext-mcp`. The README does not document required environment variables for a basic install. You can also paste the ready-made client config above.
Does Quant Context run locally?
Yes - it's a stdio server: it runs on your machine (via uvx) with your user's permissions. Your data stays local unless the server itself calls external APIs.
07 · Alternatives to Quant Context
Alternatives to Quant Context
Maintained finance servers if Quant Context isn't the fit.
- Tradingview MCP Real-time market data, screeners, technical analysis & backtesting for stocks, crypto and forex. ★ 4,214 · 2026-08-24
- Edgar Tools Open-source SEC EDGAR toolkit - 11 tools, 7 prompts, every filing type. No API key required. ★ 2,613 · 2026-08-25
- Emilia Protocol Exact-action approval for consequential agent actions: request, track, and verify signed receipts. ★ 787 · 2026-08-25
- xbbg MCP Local Bloomberg tools for xbbg users. ★ 737 · 2026-08-14
- TickDB Market Data Real-time & historical market data: forex, stocks, crypto, indices, metals, K-line, quotes ★ 712 · 2026-06-20
- Finlab AI Quantitative trading toolkit with 900+ data columns, backtesting, and 60+ strategy examples. ★ 413 · 2026-08-14
Pairs well with
Servers that cover what Quant Context doesn't - only shown when the pairing reason fits the companion.
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