Model Context Protocol server for backtest-kit: lets an LLM agent observe the live trading portfolio and open or close positions through guarded tools

MCP server that catches fake backtests before you trust them: deflated Sharpe ratio, backtest overfitting (CSCV/PBO), data-snooping tests (White's Reality Check, Hansen's SPA), lookahead checks and pipeline placebos. 20 tools for Claude, Cursor and any MCP client; on npm, the MCP Registry and hosted at canlicapital.com/mcp.

Local-first MCP server for AI-assisted Backtrader strategy development: immutable datasets, private drafts, and bounded subprocess backtests via 30 typed tools. Offline & backtest-only.

AI-powered trading research platform. Test any idea on stocks, futures, and crypto with event studies, backtesting, and statistical validation. MCP server with 8 tools. pip install varrd.

Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders.

MCP server and LangGraph tools for WorldQuant BRAIN alpha research. Backtest Fast Expression alphas, read results and browse data fields from Claude Code, Cursor or your own agent. Unofficial, not affiliated with WorldQuant.

Stock market MCP server for Yahoo Finance data, technical analysis, portfolio tracking, and Python backtesting. Runs locally with no API key for core tools.

MCP server exposing Freqtrade backtesting, hyperopt and market-data tools to Claude and other LLM clients, plus a LangGraph agent that generates and optimizes trading strategies

MCP server + NinjaTrader 8 AddOn that gives an AI coding assistant eyes and a build loop for NinjaScript: compile with structured errors, chart and Print reads, headless backtests, walk-forward, lint, trade match vs research, screenshots. Opt-in Sim-only order and strategy control, plus Sim desk crash-recovery tools. Read-only by default.

QuantDinger is an open-source AI trading platform for quantitative trading across crypto, stocks, and forex. Run strategy backtests, paper trading, and live execution with multi-agent research in a self-hosted stack that includes API access, MCP tools, and optional monitoring.

Finance research from the sources: SEC filings, markets, macro, quant and backtests, a Lab of a million strategies to test against, and luck counted on every result. 443 tools, no key needed.

MCP server for stock research on Yahoo Finance data: prices, normalized financial statements, 17 fundamental ratios, technical indicators, moving-average crossover backtests and charts. Tools take a ticker and dates, so the LLM never pipes price arrays between calls.

Free, open-source charts for crypto, stocks and forex that your AI agent can drive. Indicators, drawing tools, scripts with strategy backtests, alerts, bar replay and multi-chart layouts, with an MCP server for Claude Code, Codex, Cursor and Gemini CLI.

Stock research toolkit for AI agents — 73 tools + 21 skills for analysis, screening & backtesting across A/HK/US/JP/KR/TW markets. Works with Pi Agent, Hermes, OpenClaw, DeepSeek Harness (dsh) and any MCP client.

Desktop market-analysis workbench you drive by talking to an AI agent. A local Python sidecar does the work - indicators, candlestick and chart patterns, walk-forward backtests, volatility/regime forecasts, DeFi P&L - as 59 MCP tools; an Electron viewer draws it live. Read-only research and labeled advice: no broker, no orders.

Interactive Brokers from Python, end to end: complete Client Portal Web API connectivity (78 endpoints, REST + WebSocket, Docker gateway), market and historical data management with a Google Drive cloud cache, Flex statements, 44 Claude tools + MCP server for any Python or MCP client, backtests and analytics — orders behind Touch ID + confirmation.

Omen: agentic time series analysis, forecasting, backtesting, deployment, and monitoring tools, exposed as FastMCP servers

LLM planning agent over a forecasting backtest — strict tools, structured output, measured eval with failure analysis

A single-route FastAPI app that handles multiple AI tasks, includes optional JWT auth, integrates a minimal MCP server/client for tool calling, and ships with a basic trading backtest utility. Tested locally on macOS.

🚀 The most complete MCP server for Groww — 25 tools, ⚡ automated TOTP auth, GTT/OCO smart orders, 📈 option chain with Greeks, backtesting. 🤖 Connect any AI assistant to your Groww trading account.

The most comprehensive MCP server for Polymarket — 48 tools spanning direct trading, market discovery, smart money tracking, copy trading, backtesting, risk management, and portfolio optimization. Works with Claude Code, Cursor, or any MCP-compatible client.

MCP server that gives AI agents quantitative risk analytics tools: Value at Risk (VaR) and Expected Shortfall by 4 methods, GARCH volatility forecasting, extreme value theory (EVT) tail risk, Basel backtesting, stress testing, and a credit-risk PD scorecard. Python, FastMCP, works with Claude.

# Fashion E-Commerce Intelligence MCP Server Empower your AI agents, copilots, and assistants with vertical domain-specific fashion intelligence. Built by [alexgenovese.com](https://alexgenovese.com), this Model Context Protocol (MCP) server provides automated **SEO auditing, category trend research, DTC demand forecasting, CRM segment enrichment, and campaign creative generation**—designed natively for Cursor, Claude Desktop, Claude Code, and any MCP-compatible environment. --- ## ⚡ What It Does | Capability | Without this server | With Fashion MCP | |---|---|---| | **SEO Auditing** | Manual checklists, generic advice | Automated **0-100 score** across 5 dimensions with fashion-specific validation (fit, material, color, season, schema, OG, Twitter Cards). | | **Trend Research** | Generic search queries | Deep category-level trend intelligence (trending keywords, colors, silhouettes, price tiers, market fit, confidence). | | **Demand Forecasting** | Spreadsheets & gut feel | Explainable weighted-rule forecast model: `baseline × trend × media × retention × inventory × seasonality` with backtesting. | | **CRM Segment Enrichment** | Static email lists | Customer segments enriched with trending colors/silhouettes/keywords, audience clusters, and ready-to-send targeted messaging. | | **Campaign Creative** | Standard copywriters per channel | Platform-specific campaign themes, hooks, value propositions, and ready-to-use creative briefs grounded in real-time trend data. | --- ## 🔧 Exposed Tools - `product_seo_audit`: Audit any fashion product listing for SEO best practices, structured schema, meta tags, and fashion relevance (fit, size, material). - `fashion_trend_analysis`: Analyze fashion trend data mapped from search engine and social media queries. *(Receives search data input seamlessly, no API key required)*. - `fashion_category_demand_outlook`: Get a rapid, light demand pulse check for a specific product category in a target market and season. - `fashion_dtc_forecast_analysis`: Generate complete DTC demand forecasts with scenario planning (base/upside/downside) and stock-out/overstock risk analysis. - `fashion_customer_trend_enrichment`: Map trending keywords, colors, and silhouettes onto existing CRM customer segments for targeted email/SMS campaigns. - `fashion_campaign_theme_recommendation`: Recommend conversion-optimized ad campaign themes, hooks, and creative briefs for Meta, Google, TikTok, or Email. --- ## 🔐 Privacy & Technical Features - **No API Keys Required:** All analysis, SEO audits, demand forecasts, and CRM enrichment tools run locally with the data you supply. Upstream search data for `fashion_trend_analysis` uses your existing Tavily MCP server. - **Explainable Outputs:** Every tool returns explicit `assumptions[]`, `dataGaps[]`, and `confidence` scores, so your agent always understands the reasoning behind recommendations. - **Zero-Config Local Cache:** Uses a local SQLite persistence layer (`~/.fashion-mcp/store.db`) to cache snapshots, feature stores, and forecast actuals for backtesting. ## 💻 Local Installation To install this stdio-based server locally via Smithery: ```bash npx smithery install alexgenovese/ecommerce-fashion-market-analysis ```

Rust-based rewrite of Optopsy: An options backtesting engine exposed via Model Context Protocol (MCP)

Backtest any MT5 indicator through Claude AI — MCP server that reads real indicator signals and replays them on live broker data

Free and source-available, self-hostable trading workspace: data, backtest, trading journal, news aggregator, rich-doc editor, portfolio, 20+ modules with a built-in MCP server and AI agent.

Independent verifier for trading strategies written by AI agents and humans: catches look-ahead bias, hidden costs and overfitting. MCP server, CLI, GitHub Action, signed certificates.

MCP server of skforecast-ai: deterministic time series forecasting as tools for coding agents.

Re-run the work, recompute the number, block the wrong one before it ships — a deterministic guardrail for AI-computed results. CLI · Claude Code hook · MCP.

63 deterministic quant computation tools for autonomous financial agents. Options, derivatives, risk, portfolio, statistics, crypto/DeFi, macro/FX, TVM. 1,000 free calls/day — no signup.

Local MCP server that turns Claude into a markets analyst over a live Wealthsimple portfolio. 28 skills, 107 tools, 15 data adapters, all free or free-tier data: no paid subscription, no API key. PII stays on your machine.

One MCP server for market data: Yahoo, TradingView, FMP, Alpha Vantage, marketaux, Futu OpenD and Kimi behind a single auto-routed tool surface — the market-aware router picks the source; the model calls one tool, not four. 19 unified + 53 Futu OpenD tools, no-key sources work out of the box.

Unofficial Rust SDK, Python package and MCP server for the Charles Schwab Trader API: orders sent at most once, risk limits outside the strategy, a deterministic paper venue, and policy-gated tools for LLM agents.

Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.