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量化神谕
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MCP工具

量化神谕

基于 TypeScript · 让 AI 助手直接操作你的系统与工具
英文名:quantoracle
⭐ 6 Stars 🍴 1 Forks 💻 TypeScript 📄 MIT 🏷 AI 7.5分
7.5AI 综合评分
量化计算金融智能TypeScript
✦ AI Skill Hub 推荐

AI Skill Hub 推荐使用:量化神谕 是一款优质的MCP工具。AI 综合评分 7.5 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。

📚 深度解析

量化神谕 是一款基于 MCP(Model Context Protocol)标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源,旨在建立 AI 模型与外部工具之间的标准化通信接口,目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装 量化神谕,你的 AI 助手将获得额外的工具调用能力,可以用自然语言直接操控该工具的功能,无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置,永久增强"——配置完成后,每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上,MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信,工具的功能以"工具列表"的形式暴露给 AI 模型,AI 可以按需调用。量化神谕 提供了结构化的工具调用接口,使 AI 模型能够精确地理解和使用每个功能点,显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比,MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON,即可让 AI 获得全新能力。AI Skill Hub 将 量化神谕 评为 AI 评分 7.5 分,属于同类工具中的优质选择。

📋 工具概览

量化神谕 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

GitHub Stars
⭐ 6
开发语言
TypeScript
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
MIT
AI 综合评分
7.5 分
工具类型
MCP工具
Forks
1

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

量化神谕 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

📌 核心特色
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口,显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入,开箱即用
  • 可与其他 MCP 工具组合叠加,构建完整 AI 工作站
  • 轻量无侵入设计,不影响现有系统架构
🎯 主要使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/QuantOracledev/quantoracle

# 方式二:手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "----": {
      "command": "npx",
      "args": ["-y", "quantoracle"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
📋 安装步骤说明
  1. 确认已安装 Node.js(v18 或以上版本)
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 重启后,在对话中即可使用本工具
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 安装后在 Claude 对话中直接使用
# 示例:
用户: 请帮我用 量化神谕 执行以下任务...
Claude: [自动调用 量化神谕 MCP 工具处理请求]

# 查看可用工具列表
# 在 Claude 中输入:"列出所有可用的 MCP 工具"
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "____": {
      "command": "npx",
      "args": ["-y", "quantoracle"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效
📑 README 深度解析 真实文档 完整度 64/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

<p align="center"> <h1 align="center">QuantOracle</h1> <p align="center"><strong>The quantitative computation API for autonomous financial agents</strong></p> <p align="center">63 deterministic, citation-verified calculators + 10 composite workflows. 1,000 free calls/day. Pay-per-call on Base or Solana.</p> </p>

<p align="center"> <a href="https://www.npmjs.com/package/quantoracle-mcp"><img src="https://img.shields.io/npm/v/quantoracle-mcp?label=npm&color=cb3837" alt="npm"></a> <a href="https://smithery.ai/server/QuantOracle/quantoracle"><img src="https://smithery.ai/badge/QuantOracle/quantoracle" alt="Smithery"></a> <a href="https://clawhub.ai"><img src="https://img.shields.io/badge/ClawHub-quantoracle-blueviolet" alt="ClawHub"></a> <a href="https://glama.ai/mcp/servers/QuantOracledev/quantoracle"><img src="https://img.shields.io/badge/Glama-A%20%7C%20A%20%7C%20B-brightgreen" alt="Glama"></a> <a href="https://www.npmjs.com/package/quantoracle-cli"><img src="https://img.shields.io/npm/v/quantoracle-cli?label=cli&color=green" alt="CLI"></a> <a href="https://x402.org/ecosystem"><img src="https://img.shields.io/badge/x402-USDC%20on%20Base%20%2B%20Solana-0052FF" alt="x402"></a> <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/license-MIT-blue" alt="MIT License"></a> </p>

<p align="center"> <a href="https://quantoracle.dev">Calculators</a> &nbsp;|&nbsp; <a href="#cli">CLI</a> &nbsp;|&nbsp; <a href="#mcp-server">MCP Server</a> &nbsp;|&nbsp; <a href="#x402-payments">x402 Payments</a> &nbsp;|&nbsp; <a href="#free-tier">Free Tier</a> &nbsp;|&nbsp; <a href="#full-endpoint-reference">All Endpoints</a> &nbsp;|&nbsp; <a href="#integrations">Integrations</a> </p>

---

Call any endpoint -- no setup required

curl -X POST https://api.quantoracle.dev/v1/options/price \ -H "Content-Type: application/json" \ -d '{"S": 100, "K": 105, "T": 0.5, "r": 0.05, "sigma": 0.2, "type": "call"}'

json { "price": 4.5817, "intrinsic": 0, "time_value": 4.5817, "breakeven": 109.5817, "prob_itm": 0.4056, "greeks": { "delta": 0.4612, "gamma": 0.0281, "theta": -0.0211, "vega": 0.2808, "rho": 0.2077, "vanna": 0.0047, "charm": -0.0006, "volga": 0.0327, "speed": -0.0001 }, "d1": -0.0975, "d2": -0.2389, "ms": 12.4 } ```

Install via npm

npx quantoracle-mcp

Docker

docker compose up -d

Quick Start

```bash

Usage check

curl https://api.quantoracle.dev/usage

Example: Agent Backtest Workflow

A typical agent backtest chains multiple QuantOracle calls per iteration:

1. /v1/indicators/technical    -- generate signals (SMA, RSI, MACD)
2. /v1/risk/position-size      -- size the trade (fixed fractional)
3. /v1/risk/transaction-cost   -- estimate execution costs
4. /v1/options/price            -- price the hedge (Black-Scholes)
5. /v1/risk/portfolio           -- compute running Sharpe, drawdown, VaR
6. /v1/stats/probabilistic-sharpe -- is the Sharpe statistically significant?
7. /v1/tvm/cagr                 -- compute CAGR of the equity curve

Each call is a pure calculator -- no state, no side effects, no API keys.

Options (4 endpoints)

EndpointDescriptionPrice
POST /v1/options/priceBlack-Scholes pricing with 10 Greeks (delta through color)$0.005
POST /v1/options/implied-volNewton-Raphson implied volatility solver$0.005
POST /v1/options/strategyMulti-leg options strategy P&L, breakevens, max profit/loss$0.008
POST /v1/options/payoff-diagramMulti-leg options payoff diagram data generation$0.005

Batch Endpoint

Run up to 100 computations in a single HTTP request. One round trip instead of 100.

curl -X POST https://api.quantoracle.dev/v1/batch \
  -H "Content-Type: application/json" \
  -d '{
    "requests": [
      {"endpoint": "options/price", "params": {"S": 100, "K": 105, "T": 0.25, "r": 0.05, "sigma": 0.2}},
      {"endpoint": "stats/zscore", "params": {"series": [10, 12, 14, 11, 13, 15]}},
      {"endpoint": "tvm/cagr", "params": {"start_value": 100, "end_value": 150, "years": 3}}
    ]
  }'

Returns all results in one response with the total price:

{
  "batch_size": 3,
  "total_price_usdc": 0.009,
  "results": [
    {"endpoint": "options/price", "status": 200, "data": {"price": 2.4779, "greeks": {"delta": 0.377, "..."}}},
    {"endpoint": "stats/zscore", "status": 200, "data": {"mean": 12.5, "std_dev": 1.87, "..."}},
    {"endpoint": "tvm/cagr", "status": 200, "data": {"cagr": 0.1447, "doubling_time_years": 5.13, "..."}}
  ],
  "ms": 42.13
}
FreePaid
**Batch calls**1 trial (ever)Unlimited
**Max per batch**100100
**Price**FreeSum of individual endpoint prices

Batch pricing is the sum of the individual endpoint prices — no markup. You pay for the computations, the speed is free.

---

x402 discovery (advertises Base + Solana for every endpoint)

curl https://api.quantoracle.dev/.well-known/x402

Full Endpoint Reference

Derivatives (7 endpoints)

EndpointDescriptionPrice
POST /v1/derivatives/binomial-treeCRR binomial tree pricing for American and European options$0.008
POST /v1/derivatives/barrier-optionBarrier option pricing using analytical formulas$0.008
POST /v1/derivatives/asian-optionAsian option pricing: geometric closed-form or arithmetic approximation$0.008
POST /v1/derivatives/lookback-optionLookback option pricing (floating/fixed strike, Goldman-Sosin-Gatto)$0.008
POST /v1/derivatives/option-chain-analysisOption chain analytics: skew, max pain, put-call ratios$0.015
POST /v1/derivatives/put-call-parityPut-call parity check and arbitrage detection$0.002
POST /v1/derivatives/volatility-surfaceBuild implied volatility surface from market data$0.015

Risk (8 endpoints)

EndpointDescriptionPrice
POST /v1/risk/portfolio22 risk metrics: Sharpe, Sortino, Calmar, Omega, VaR, CVaR, drawdown$0.008
POST /v1/risk/kellyKelly Criterion: discrete (win/loss) or continuous (returns series)$0.005
POST /v1/risk/position-sizeFixed fractional position sizing with risk/reward targets$0.005
POST /v1/risk/drawdownDrawdown decomposition with underwater curve$0.005
POST /v1/risk/correlationN x N correlation and covariance matrices from return series$0.008
POST /v1/risk/var-parametricParametric Value-at-Risk and Conditional VaR$0.008
POST /v1/risk/stress-testPortfolio stress test across multiple scenarios$0.008
POST /v1/risk/transaction-costTransaction cost model: commission + spread + Almgren market impact$0.005

Indicators (6 endpoints)

EndpointDescriptionPrice
POST /v1/indicators/technical13 technical indicators (SMA, EMA, RSI, MACD, etc.) + composite signals$0.005
POST /v1/indicators/regimeTrend + volatility regime + composite risk classification$0.005
POST /v1/indicators/crossoverGolden/death cross detection with signal history$0.005
POST /v1/indicators/bollinger-bandsBollinger Bands with %B, bandwidth, and squeeze detection$0.002
POST /v1/indicators/fibonacci-retracementFibonacci retracement and extension levels$0.002
POST /v1/indicators/atrAverage True Range with normalized ATR and volatility regime$0.002

Statistics (12 endpoints)

EndpointDescriptionPrice
POST /v1/stats/linear-regressionOLS linear regression with R-squared, t-stats, standard errors$0.008
POST /v1/stats/polynomial-regressionPolynomial regression of degree n with goodness-of-fit metrics$0.008
POST /v1/stats/cointegrationEngle-Granger cointegration test with hedge ratio and half-life$0.008
POST /v1/stats/hurst-exponentHurst exponent via rescaled range (R/S) analysis$0.008
POST /v1/stats/garch-forecastGARCH(1,1) volatility forecast using maximum likelihood estimation$0.015
POST /v1/stats/zscoreRolling and static z-scores with extreme value detection$0.002
POST /v1/stats/distribution-fitFit data to common distributions and rank by goodness of fit$0.008
POST /v1/stats/correlation-matrixCorrelation and covariance matrices with eigenvalue decomposition$0.015
POST /v1/stats/realized-volatilityRealized vol: close-to-close, Parkinson, Garman-Klass, Yang-Zhang$0.005
POST /v1/stats/normal-distributionNormal distribution: CDF, PDF, quantile, confidence intervals$0.002
POST /v1/stats/sharpe-ratioStandalone Sharpe ratio with Lo (2002) standard error and 95% CI$0.002
POST /v1/stats/probabilistic-sharpeProbabilistic Sharpe Ratio (Bailey & Lopez de Prado 2012)$0.005

Portfolio (2 endpoints)

EndpointDescriptionPrice
POST /v1/portfolio/optimizePortfolio optimization: max Sharpe, min vol, or risk parity$0.015
POST /v1/portfolio/risk-parity-weightsEqual risk contribution portfolio weights (Spinu 2013)$0.008

Fixed Income (4 endpoints)

EndpointDescriptionPrice
POST /v1/fixed-income/bondBond price, Macaulay/modified duration, convexity, DV01$0.008
POST /v1/fixed-income/amortizationFull amortization schedule with extra payment savings analysis$0.005
POST /v1/fi/yield-curve-interpolateYield curve interpolation: linear, cubic spline, Nelson-Siegel$0.015
POST /v1/fi/credit-spreadCredit spread and Z-spread from bond price vs risk-free curve$0.008

Crypto / DeFi (7 endpoints)

EndpointDescriptionPrice
POST /v1/crypto/impermanent-lossImpermanent loss calculator for Uniswap v2/v3 AMM positions$0.005
POST /v1/crypto/apy-apr-convertConvert between APY and APR with configurable compounding$0.002
POST /v1/crypto/liquidation-priceLiquidation price calculator for leveraged positions$0.002
POST /v1/crypto/funding-rateFunding rate analysis with annualization and regime detection$0.005
POST /v1/crypto/dex-slippageDEX slippage estimator for constant-product AMM (x*y=k)$0.005
POST /v1/crypto/vesting-scheduleToken vesting schedule with cliff, linear/graded unlock, TGE$0.005
POST /v1/crypto/rebalance-thresholdPortfolio rebalance analyzer: drift detection and trade sizing$0.005

FX / Macro (7 endpoints)

EndpointDescriptionPrice
POST /v1/fx/interest-rate-parityInterest rate parity calculator with arbitrage detection$0.005
POST /v1/fx/purchasing-power-parityPurchasing power parity fair value estimation$0.005
POST /v1/fx/forward-rateBootstrap forward rates from a spot yield curve$0.005
POST /v1/fx/carry-tradeCurrency carry trade P&L decomposition$0.005
POST /v1/macro/inflation-adjustedNominal to real returns using Fisher equation$0.002
POST /v1/macro/taylor-ruleTaylor Rule interest rate prescription$0.002
POST /v1/macro/real-yieldReal yield and breakeven inflation from nominal yields$0.002

Time Value of Money (5 endpoints)

EndpointDescriptionPrice
POST /v1/tvm/present-valuePresent value of a future lump sum and/or annuity stream$0.002
POST /v1/tvm/future-valueFuture value of a present lump sum and/or annuity stream$0.002
POST /v1/tvm/irrInternal rate of return via Newton-Raphson$0.005
POST /v1/tvm/npvNet present value with profitability index and payback period$0.002
POST /v1/tvm/cagrCompound annual growth rate with forward projections$0.002

Simulation (1 endpoint)

EndpointDescriptionPrice
POST /v1/simulate/montecarloGBM Monte Carlo with contributions/withdrawals, up to 5000 paths$0.015

Composite Endpoints (paid-only)

Higher-level endpoints that combine multiple calculations into a single call. Same math as the individual endpoints -- just packaged for common agent workflows. No free tier.

EndpointDescriptionReplacesPrice
POST /v1/backtest/strategyRun SMA crossover, RSI mean reversion, momentum, or Bollinger breakout backtest10+ indicator + risk calls$0.10
POST /v1/options/spread-scanScan and rank vertical spreads by risk/reward8-16 options/price calls$0.05
POST /v1/portfolio/rebalance-planGenerate trade list to hit target weights with cost estimateportfolio/optimize + transaction-cost$0.05
POST /v1/options/strategy-optimizerRank top options strategies given outlook + volatility viewoptions/strategy + payoff-diagram$0.08
POST /v1/hedging/recommendRank cheapest effective hedges (protective put, collar, futures, partial)options/price + Greeks$0.04
POST /v1/risk/full-analysisComplete risk tearsheet: Sharpe, Sortino, VaR, Kelly, drawdown, Hurst, CAGR7 individual calls$0.04
POST /v1/portfolio/healthPortfolio health check: risk, correlation, rebalance, stress test6 individual calls$0.04
POST /v1/trade/evaluateTrade evaluation: sizing, risk/reward, Kelly, costs, regime, signals, verdict5 individual calls$0.025
POST /v1/pairs/signalPairs trading signal: cointegration, Hurst, z-score, half-life, hedge ratio4 individual calls$0.025
POST /v1/indicators/regime-classifyTrend, vol regime, RSI, direction, strategy suggestiontechnical + regime + realized-vol$0.015

---

Integrations

QuantOracle is available across multiple agent ecosystems:

PlatformHow to connect
**Claude Desktop / Claude Code**Connector URL: https://mcp.quantoracle.dev/mcp
**Cursor / Windsurf**MCP config: npx quantoracle-mcp
**Smithery**npx @smithery/cli mcp add QuantOracle/quantoracle
**OpenClaw / ClawHub**clawhub install quantoracle
**CLI**npm install -g quantoracle-cli or npx quantoracle-cli
**Glama**[glama.ai/mcp/servers/QuantOracledev/quantoracle](https://glama.ai/mcp/servers/QuantOracledev/quantoracle)
**npm (MCP)**npx quantoracle-mcp
**x402 ecosystem**[x402.org/ecosystem](https://x402.org/ecosystem)
**ChatGPT GPT**[QuantOracle GPT](https://chatgpt.com/g/g-69d9c28bddb481918e674e2f9d9f3e97-quantoracle)
**LangChain**pip install langchain-quantoracle
**AgentCash**npx agentcash fetch https://api.quantoracle.dev/v1/...
**x402scan**[Server page](https://www.x402scan.com/server/2c32a45a-f94b-4def-904c-8dbbac8dc042) — Base + Solana
**REST API**https://api.quantoracle.dev/v1/...
**OpenAPI spec**https://api.quantoracle.dev/openapi.json
**Swagger UI**https://api.quantoracle.dev/docs
📚 实用指南(长尾问题)
适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
部署方案
  • Docker:quantoracle 提供官方镜像,docker compose up 一键启动
  • CLI:直接 npm install -g / pip install,命令行调用
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
quantoracle 中文教程quantoracle 安装报错怎么办quantoracle MCP 配置quantoracle Docker 部署quantoracle Agent 工作流quantoracle 与同类工具对比quantoracle 最佳实践quantoracle 适合谁用

⚡ 核心功能

👥 适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
⭐ 最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal

👥 适合人群

Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师

🎯 使用场景

  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站

⚖️ 优点与不足

✅ 优点
  • +MIT 协议,可免费商用
  • +标准化 MCP 协议,生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用,配置简单快捷
⚠️ 不足
  • 依赖 Claude 客户端,非 Claude 用户无法使用
  • MCP 协议仍在持续演进,接口可能变更
  • 需要一定的配置步骤
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。

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❓ 常见问题 FAQ

quantoracle 是一款TypeScript开发的AI辅助工具。开源MCP工具:63 deterministic quant computation tools for autonomous financial agents. Option。⭐6 · TypeScript 主要应用场景包括:金融智能代理。
💡 AI Skill Hub 点评

总体来看,量化神谕 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ MIT 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

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🌐 原始信息
原始名称 quantoracle
原始描述 开源MCP工具:63 deterministic quant computation tools for autonomous financial agents. Option。⭐6 · TypeScript
Topics 量化计算金融智能TypeScript
GitHub https://github.com/QuantOracledev/quantoracle
License MIT
语言 TypeScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/QuantOracledev/quantoracle 🌐 官方网站  https://quantoracle.dev

收录时间:2026-06-07 · 更新时间:2026-06-08 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。