"A platform for finding academic research and scholarly articles" matching MCP servers:

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

Provides 11 composable MCP tools for A-share market research, covering quotes, news, technical signals, sector performance, portfolio risk, backtesting, and paper trading, with traceable data sources and calculation basis.

MCP server exposing ATLAS research capabilities: live tokenized stock market data, on-chain source-of-truth reads, and published research atlases. Connects to MCP clients over stdio with no API keys required for public testnet endpoints.

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.

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。

Enables assistants to resolve exact Polymarket events and markets with their resolution rules, prices, spreads and trade samples, and to compute explicit profit/loss and break-even scenarios for given contract quantities, prices and costs. It also lets clients search, read and download published research articles and their datasets with stable citations.

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.

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

Provides Claude with real-time ETF research tools including quotes, expense ratios, full SEC-filed holdings, overlap analysis, comparisons, and performance data without requiring an API key.

Provides comprehensive stock research and trading execution for Claude, aggregating data from Alpha Vantage, Finnhub, and Alpaca APIs.

Enables historical options research and regression testing against tastytrade's Backtester API, allowing users to discover backtest coverage, submit and poll backtests, and simulate historical trades without placing orders.

Enables self-hosted Indian stock research for Claude or any MCP client, pulling quotes, fundamentals, financials, a screener, option chains, FII/DII flows, and more from NSE India and Yahoo Finance without API keys, plus optional Zerodha Kite portfolio pairing.

Read-only MCP server that provides enterprise research frameworks, frozen snapshots, and historical factor summaries with sources and falsification conditions, without trading advice.

An evidence-first investment research MCP server that combines official disclosures, market data, and domain-specific evidence for Korean biotech companies like Samsung Biologics, Daewoong Pharmaceutical, and Lunit.

Enables AI tools to access local crypto market data, run analyses, perform 66-item deep research, search RAG context, and retrieve generated reports and prompts via MCP.

A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.

Provides tools to research crypto trading strategies via backtesting, walk-forward validation, and paper trading, with a deflated-Sharpe overfitting check. Enables natural-language-driven analysis and interpretation of strategy performance.

Enables AI assistants to search and read an open quant research record: papers, topics, killed candidates, trial counts, live paper-trading sleeves, and a tamper-evident chain head. It provides six read-only tools over public CDN files, returning each source's stated limits alongside paper-execution-only caveats.