#Quant

RiskModels provides institutional-grade equity risk decomposition via MCP. Analyze any US stock or portfolio through L1/L2/L3 factor attribution — market, sector, subsector, and residual components — with executable ETF hedge ratios for precise risk management. Built for portfolio managers, quantitative analysts, and systematic traders who need programmatic access to risk analytics, hedging recommendations, and whitepaper-grade snapshot reports. All tools are read-only with transparent per-call pricing. Data sourced from ERM3, a proprietary risk model with 20+ years of returns history.

Provably correct day-count and accrued-interest calculations. A small, dependency-light TypeScript library and an MCP server, so an AI agent can get the exact number instead of guessing.

63-layer continuous-time Symplectic Neural ODE computing topological invariants of real market signals. 256-dim feature space with non-Abelian gauge field geometry. 27 data products (property intelligence, DAG manifold computation, federal contracts, distressed real estate) with autonomous Stripe purchase. 500K out-of-pocket validated embeddings. Free tier available.

CivilQuants computes audit-traceable Bills of Quantities for civil-engineering assemblies — culverts, manholes, retaining walls, pavements, drainage, earthworks — across four UK measurement standards. Parametric inputs in; a methodology-structured BoQ with every quantity traceable to its formula out, exportable to Excel, DXF (CAD) and PDF.

CryptoQuant MCP gives AI agents direct access to institutional-grade on-chain and market data across Bitcoin, Ethereum, XRP, stablecoins, and ERC20 tokens — covering 245 endpoints across exchange flows, miner data, network indicators, derivatives, fund data, and more. Built for analysts and developers who need defensible, data-driven answers, not approximations. Query real-time metrics like exchange netflow, MVRV, SOPR, realized price bands, funding rates, and miner revenue directly inside any MCP-compatible agent — no manual data export, no dashboard switching. Backed by CryptoQuant's professional research team, whose institutional-grade analysis is also accessible via the MCP through research and QuickTake endpoints. Supported assets: BTC, ETH, XRP, Stablecoins, ERC20, TRX Data categories: Exchange flows, miner flows, market indicators, network data, derivatives, fund data, lightning network, mempool, DeFi, AMM/DEX data

MCP server for the FLOX trading framework. About 30 tools to run backtests, scaffold strategies, validate for lookahead bias, compute indicators, place orders, and query PnL from Claude/Cursor.

The first production MCP server with NIST FIPS 204 post-quantum receipts. Every AI agent tool call is policy-gated, hybrid-signed (Ed25519 + ML-DSA-65), and forensically provable — offline, forever. Fail-closed architecture: if the Trust Gate backend is unreachable, every decision returns allow:false. Defended against 15 CVEs including CVE-2026-25253 (OpenClaw), Invariant Labs Tool Poisoning, and Salt Typhoon HNDL. EU AI Act Article 50 native compliance.

CPZAI MCP server. Build, backtest, and deploy quantitative trading strategies from your AI agent. 29 tools: list_strategies, get_strategy, create_strategy, update_strategy, get_backtest_results, list_orders, place_order, list_positions, sync_portfolio, plus dev-time tools. Multi-broker (Alpaca, Interactive Brokers, FIX gateway). Paper-only by default; live trading requires explicit per-strategy promotion. Free to try at ai.cpz-lab.com.

Unofficial local-first MCP server for WHOOP — recovery, strain, sleep stages, HRV, RHR and workouts. Privacy modes (summary/structured/raw), SQLite cache and doctor CLI for setup. Works with Claude Desktop, Cursor, Windsurf, Hermes, OpenClaw and any MCP-compatible client. Install: `npx -y whoop-mcp-unofficial setup`. Built for self-quantified humans building AI workflows around personal health.

Live trading edge library across futures, equities, and crypto. See which edges are firing right now, get exact entry/stop/target prices, or test any trading idea with real market data and institutional-grade backtesting. Every edge shows its formula, methodology, post-discovery performance, and full audit trail. 9 MCP tools including autonomous edge discovery. Built by a team from one of the most successful derivatives firms in Chicago.

Real-time and historical options analytics for US equities. 38 tools covering gamma/delta/vanna/charm exposure, dealer positioning, 0DTE analytics, SVI volatility surfaces, VRP dashboards, Black-Scholes greeks, and Kelly sizing — plus minute-resolution historical replay back to April 2018 for backtesting. Also exposes 5 reference docs as MCP Resources and 4 canonical workflow Prompts (analyze_exposure, vrp_regime_check, historical_comparison, zero_dte_brief). Authenticate with an X-Api-Key header from flashalpha.com.

Cryptographic audit trail for AI agents via Model Context Protocol. Every AI decision signed Ed25519, hash-chained, tamper-proof. AISS-1.0 compliant. Post-quantum ready. Compliance-ready for SEC, FINRA, GDPR, HIPAA.

Real-time L2 orderbook physics engine for crypto & US equities. Detects institutional spoofing, BUY_ABSORPTION, and LIQUIDITY_EVENT signals with 15-30s lead time over price action. Audited live by Manus AI (0.99 confidence on flash crash detection). The only MCP server with Behavioral Court verdict engine — tells your AI agent not just what the market is doing, but what whales are doing right now.

We design and operate proprietary signal systems that turn noisy market, macro, and media data into structured, calibrated intelligence — exposed through web dashboards, a Signals API, and a public MCP server any AI assistant can reason over directly. The eight pillars Every product above reads from the same nightly signal pipeline (00:05–04:05 UTC) organised into eight analytic pillars: Composite risk monitor — 0–100 regime score with AR / turbulence / GDELT decomposition, extended by a 4-way liquidity gate. Financial turbulence — cross-asset covariance regime with Markov transition probabilities. Systemic fragility — three-tier Absorption Ratio alerts plus per-asset PC1 / PC2 eigenvector history. Media sentiment — GDELT-derived tone, volume, and outliers across 27+ assets plus a global geopolitical tension gauge. Global liquidity — GLI composite with policy / private-sector / cross-border sub-indices and regional breakdown. Statistical arbitrage — 550+ security scanner for oversold and overbought mean-reversion candidates. AI-generated intelligence — cross-pillar briefings and narrative commentary, clearly flagged as synthesized vs deterministic. Supporting analytics — multi-year asset-class returns and a RAG stablecoin scorecard.

63 deterministic quant computation tools for autonomous financial agents. Options pricing, exotic derivatives, risk metrics, portfolio optimization, Monte Carlo simulation, statistics, crypto/DeFi, macro/FX, time value of money. Includes 6 composite workflow tools and batch endpoint. Pure Python math, zero dependencies. 1,000 free calls/day, no signup. x402 micropayments for paid tier.

Connect your AI assistant to live interest rate data. Access swap rates, forward curves, discount factors, zero rates, FX spot and forward rates, government bond yields, inflation curves, and benchmark fixings for 60+ indices across 30+ currencies. Powered by BlueGamma's institutional-grade rate engine.

MCP Server for China A-Share quantitative market data. Covers 5000+ stocks with 13 quantitative factors, daily updated. Includes market overview, industry rotation, sector hotspots, limit-up analysis, risk alerts, and more. A股量化数据 MCP Server，覆盖 5000+ 只 A 股，13 个量化因子，每日更新

Access real-time crypto market data from 123+ exchanges and 47,000+ instruments via the Model Context Protocol (MCP). Works with Claude Desktop, Claude Code, Cursor, and any MCP-compatible AI agent.

A macro-factor quantitative signal source accessible via MCP. 8 transparent, auditable strategies spanning China A-shares, offshore RMB, US tech, and retail sentiment. Built on persistent macro factors (capital flows, behavioral incentives, regulatory boundaries), not ML pattern mining. Full mechanism disclosure — audit with ChatGPT, Claude, or DeepSeek at www.quanttogo.com/ai/. 5 free discovery tools + 3 premium signal tools. Strategy Combiner lets you build your own portfolio. Example: A-Share Balanced +397%, Nasdaq Full Power +1391%. Free 30-day trial with AI agent self-registration. Supports stdio (npx) and Streamable HTTP transports.

Real-time macroeconomic signals for compliance and treasury teams. 13 MCP tools covering recession probability, yield curve analysis, Fed/ECB stance, SOFR rates, credit spreads, volatility, inflation tracking, and deterministic regime classification (RISK_ON/NEUTRAL/RISK_OFF/STRESS). 86 FRED + 20 ECB series. Every response ES256K-signed with SLA quality signals. Part of the FeedOracle 3-server ecosystem (53 tools total). Free tier: 300 units/day. Connect: npx -y mcp-remote https://feedoracle.io/mcp/macro/sse

Persistent semantic memory for Claude Code, chats AND code. 74+ MCP tools, local pgvector embeddings, codebase indexing with 14 language extractors, multi-agent team coordination. Self-hosted, zero cloud dependency.

Access institutional-grade alternative financial data directly in your LLM workflows.

**Explore the I Ching with Quantum-Powered Reflection** Dive into the ancient wisdom of the I Ching, the 3,000-year-old Chinese *Book of Changes*, now enhanced with quantum random number generation. Generate true-random hexagrams for self-reflection, guided by AI-powered analysis combining classical interpretations, historical insights, and modern applications. Discover patterns, make decisions, and explore change with a tool that bridges ancient philosophy and cutting-edge technology.

**Explore the I Ching with Quantum-Powered Reflection** Dive into the ancient wisdom of the I Ching, the 3,000-year-old Chinese *Book of Changes*, now enhanced with quantum random number generation. Generate true-random hexagrams for self-reflection, guided by AI-powered analysis combining classical interpretations, historical insights, and modern applications. Discover patterns, make decisions, and explore change with a tool that bridges ancient philosophy and cutting-edge technology.

QuafuCloud MCP Service is an extension module developed by the Beijing Academy of Quantum Information Sciences (BAQIS) based on the Quafu Quantum Computing Cloud Platform. Built upon the standardized MCP protocol, this service provides quantum computing power support for large language models (LLMs). It offers end-to-end integration and visualization for submitting, executing, and retrieving results of quantum computing tasks via the Quafu Cloud Platform. Users can leverage this service to build intelligent agents for quantum computing science education, verification, and demonstration of quantum algorithms, or to fully harness the capabilities of large models to explore quantum computing solutions in application domains such as many-body physics, chemistry, finance, and more.

The QuantConnect MCP Server is a bridge for AIs (such as Claude and OpenAI o3 Pro) to interact with our cloud platform. When equipped with our MCP, the AI can perform tasks on your behalf through our API such as updating projects, writing strategies, backtesting, and deploying strategies to production live-trading. To get your user Id and API token, see Request API Token (https://www.quantconnect.com/docs/v2/cloud-platform/community/profile#09-Request-API-Token). Our MCP server is multi-platform capable. The options are `linux/amd64` for Intel/AMD chips and `linux/arm64` for ARM chips (for example, Apple's M-series chips).

Unofficial MCP Server for Qiskit (an open-source SDK for working with quantum computers)

CryptoWeather MCP Server provides real-time Bitcoin price prediction signals from the CryptoWeather AI system. Get hourly updated trading signals, performance metrics, and AI-driven market insights directly in your Claude conversations.

This project wraps an MCP (Model Context Protocol) around Rowan's tools, making it easy for users to submit complex chemistry and biology calculations in natural everyday language.

Unofficial tools and server implementation for Binance's Model Context Protocol (MCP). Designed to support developers building crypto trading AI Agents.

The XTB MCP Server is a Model Context Protocol (MCP) server that provides comprehensive tools for generating Extended Tight-Binding (XTB) quantum chemistry calculation input files. This server integrates seamlessly with AI assistants like Claude, Cursor, and Windsurf to enable intelligent quantum chemistry workflow automation.

ABACUS, an open-source DFT-based simulation platform, is supported by an MCP server that provides a structured communication interface for submitting, managing, and executing tasks.

A Model Context Protocol (MCP) server that integrates large language models (LLMs) with quantum computing platforms, such as IBM Quantum’s Qiskit.

Binance MCP Server is a robust tool that allows AI agents to connect with the Binance cryptocurrency exchange. It offers essential trading tools and market data access for efficient trading. 🐙💻

This project is an MCP-based quantum computing experiment submission tool. Users can generate QASM code via large language models and submit experiments to cloud.spinq.cn.

J-Quants APIの無償版で利用可能な機能のMCPサーバー

RCS Quikmail is a Model Context Protocol (MCP) server for sending email using natural language. RCS Quikmail uses post-quantum encryption to secure the client-server message exchange.

quasar MCP Server

Model Context Protocol (MCP) to enable AI LLMs to trade using MetaTrader platform

Claude 3.7 Swarm with Field Coherence: A Model Context Protocol (MCP) server that orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm. It creates a field coherence effect across pattern recognition, information theory, and reasoning specialists to produce optimally coherent responses from ensemble intelligence.