"A server for finding quant systems" matching MCP servers:

An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.

Provides retrieval and analysis tools for a quantitative-finance research library, enabling whole-passage answers with verifiable citations, citation checking, entity graph exploration, and corpus inspection.

A comprehensive quantitative finance MCP server providing live financial analysis, including price/risk metrics, HMM market regime detection, backtesting, options analytics, fundamentals, sentiment, Monte Carlo simulation, pairs trading, factor models, and portfolio optimization. It integrates with Claude via natural language commands and uses only free data sources.

Enables AI agents to manage system updates, application installations, and remote host orchestration through MCP tools.

Provides market-data and quant-research tools including live stock prices, price history, moving averages, and SMA-crossover backtesting, with a synthetic-data fallback when external data is unavailable.

An MCP server exposing a registry of paper-backed quantitative trading methods plus a deterministic, no-LLM decision helper for reproducible trading research.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables running quantitative finance coding tasks through MCP, where an agent writes, executes, and repairs Python code using discovered library functions and returns structured results along with saved artifacts.

Enables natural language quantitative analysis for US and Indian equities, including trade plans, portfolio optimization, backtests, and price alerts using real market data.

Enables MCP clients to access quantitative investment research, factors, strategies, and portfolio capabilities through the official SKZ CLI.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

A quantitative finance MCP server providing 24 tools for option pricing, portfolio optimization, risk measurement, fixed income analysis, and utility functions, enabling AI clients to perform professional financial calculations.

Enables MCP clients to directly access A-share market data, including real-time quotes, K-lines, market statistics, sector performance, multi-condition stock screening, and latest financial indicators.

Enables AI assistants to directly access quant research knowledge, including factor libraries, strategy backtesting, and research reports, through the MCP protocol.

Runs a local, file-based toolkit of 100 systems engineering skills that lets an AI assistant clean and map requirements, review specifications against ECSS, derive sub-requirements, check interfaces and budgets, and build verification and compliance matrices. It works on documents in a user-chosen local folder without sending customer data to a remote service or requiring an account or API key.

Enables querying alternative financial data including congressional trades, insider transactions, government contracts, and WallStreetBets activity through the Quiver Quantitative API.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).