Which integrations are available for this server?

Provides Reddit sentiment analysis by retrieving posts from wallstreetbets, stocks, and investing subreddits that mention a given stock ticker.

How do I use Global Data MCP?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Global Data MCP Compare NVDA and AMD stock performance and analyst sentiment this quarter" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Global Data MCP

by JingxuanC

Overview Schema Source Related Servers Discussions Admin

Python

Remote

Global Data MCP

美股 + 宏观舆情工具集的独立 MCP（Model Context Protocol）服务。从 Athena 的 py-sidecar 中抽取，让任何 MCP 客户端（Claude Desktop、Kimi Code、Cursor、自研 Agent）都能直接获取美股行情/财报、宏观指标、社交媒体舆情与预测市场数据。

工具清单（14 个）

美股（yfinance）

工具	说明
`get_stock_data`	美股 OHLCV 日线历史（CSV：Date,Open,High,Low,Close,Volume）
`get_fundamentals`	公司基本面：市值、PE、EPS、营收、利润率、ROE 等 20+ 字段
`get_balance_sheet`	资产负债表（季度/年度）
`get_cashflow`	现金流量表（季度/年度）
`get_income_statement`	利润表（季度/年度）
`get_insider_transactions`	内部人（高管/大股东）买卖记录
`get_news`	个股相关新闻（标题 + 发布时间）

宏观 / 舆情

工具	说明	数据源
`get_macro_indicators`	FRED 宏观指标：联邦基金利率、CPI、GDP、失业率、国债收益率、VIX 等（支持别名）	FRED（需 `FRED_API_KEY`）
`get_global_news`	宏观市场新闻（SPY/QQQ/DIA 聚合，支持 topic 过滤）	yfinance
`get_a_global_news`	7x24 全球财经快讯（标题 + 摘要 + 时间）	东方财富
`get_prediction_markets`	Polymarket 预测市场概率（如 "Fed rate cut"、"recession 2026"）	Polymarket gamma API
`get_reddit_sentiment`	Reddit 舆情：wallstreetbets/stocks/investing 三板块提及个股的帖子	Reddit RSS（零依赖）
`get_stocktwits_sentiment`	StockTwits 消息流，含 Bullish/Bearish 标签统计	StockTwits API（零依赖）
`get_indicators`	技术指标：rsi/macd/boll/atr/sma/ema/vwma/mfi 等 13 个	stockstats + yfinance

所有工具均为秒级 HTTP 数据获取，同步调用，带本地 JSON 缓存（DATA_CACHE_DIR，默认 TTL 300s）。

Related MCP server: MCP Financial Data Gateway

快速开始

pip install -r requirements.txt
python3 server.py --port 50058

验证：

curl http://127.0.0.1:50058/health
curl http://127.0.0.1:50058/tools
# MCP initialize
curl -X POST http://127.0.0.1:50058/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize"}'
# 真实调用
curl -X POST http://127.0.0.1:50058/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/call",
       "params":{"name":"get_stock_data",
                 "arguments":{"symbol":"AAPL","start_date":"2026-08-01","end_date":"2026-09-01"}}}'

接入 MCP 客户端（以 Claude Desktop / Kimi Code 为例）：

# mcp 配置
global-data:
  url: http://127.0.0.1:50058/mcp

Docker 部署

无需本地 Python 环境，一条命令起服务：

docker compose up -d        # 构建镜像 + 启动容器（首次构建约 3-5 分钟）
docker compose ps           # 查看状态
docker compose logs -f      # 跟踪日志

验证：

curl http://127.0.0.1:50058/health
curl http://127.0.0.1:50058/tools   # 应返回 14 个工具

license 鉴权（可选）：在 docker-compose.yml 中取消 license 相关注释，把宿主机 licenses.json 挂进容器并设置 MCP_LICENSE_FILE：

environment:
  MCP_LICENSE_FILE: /app/licenses/licenses.json
volumes:
  - ./licenses.json:/app/licenses/licenses.json:ro

其他环境变量（FRED_API_KEY / YAHOO_PROXY / MCP_WORKERS 等）同样在 compose 文件的 environment 段配置，改完 docker compose up -d 生效。注意容器内访问宿主机代理用 host.docker.internal（如 YAHOO_PROXY=socks5://host.docker.internal:1097）。

环境变量

变量	说明
`YAHOO_PROXY`	yfinance 专用代理（如 `socks5://127.0.0.1:1097`）。仅作用于美股请求（显式 session 挂载），不污染全局 socket——国内源（东财快讯）保持直连
`FRED_API_KEY`	FRED 宏观数据 API key，`get_macro_indicators` 必需。免费申请
`DATA_CACHE_DIR`	工具结果缓存目录（默认 `./.data_cache`）
`DATA_CACHE_TTL`	缓存秒数（默认 300）

附带：yahoo_quotes.py

Yahoo 美股实时行情子进程脚本（Go 行情网关以子进程方式调用）：

echo '["AAPL","NVDA"]' | python3 yahoo_quotes.py
# 输出 JSON: [{symbol, name, price, prev_close, pct, volume, high, low, turnover}, ...]

自带 60s 缓存（.yahoo_cache.json）防 Yahoo 限流；YAHOO_PROXY 同样生效。

鉴权与额度（可选）

默认开放模式（本地/内网）。设置环境变量后强制 license key 鉴权：

export MCP_LICENSE_FILE=/path/to/licenses.json
python3 server.py --port 50058
# 客户端请求头：X-License-Key: <key>

license JSON 格式与额度语义见 mcp_gateway.py docstring。GET /quota 查余量。

端点一览

GET  /health        健康检查
GET  /tools         工具 JSON schema 列表
POST /mcp           MCP JSON-RPC（initialize / tools/list / tools/call）
GET  /quota         license 额度余量（鉴权模式）
GET  /metrics       Prometheus 指标（文本格式，不鉴权）

可观察性 / Observability

GET /metrics 输出 Prometheus 文本格式（text/plain; version=0.0.4），不要求鉴权（内网抓取惯例；只含工具名级聚合，不泄露 license key）。

指标：

指标	类型	说明
`mcp_tool_calls_total{tool,status}`	counter	调用计数；status ∈ `ok` / `error` / `rejected_license` / `rejected_quota` / `queued`
`mcp_tool_latency_seconds_sum{tool}` / `mcp_tool_latency_seconds_count{tool}`	counter	延迟总和与样本数，相除即平均延迟
`mcp_uptime_seconds`	gauge	进程启动至今秒数

Prometheus scrape 配置示例：

scrape_configs:
  - job_name: global-data-mcp
    metrics_path: /metrics
    static_configs:
      - targets: ["127.0.0.1:50058"]

数据源说明

yfinance：Yahoo Finance 非官方接口，有频率限制；生产建议挂代理 + 依赖内置缓存
FRED：圣路易斯联储官方 API，免费 key，稳定
Reddit / StockTwits：公开 RSS/API，无需 key，stdlib urllib 直连
Polymarket：gamma 公开搜索 API，无需 key
东方财富快讯：内置全局节流（≥1s 间隔 + 随机抖动 + 会话复用重试）防封 IP

致谢

本项目主体来自 Athena —— local-first、AI-native 的多 Agent 量化交易系统。

License

MIT

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Maintenance

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Resources

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Global Data MCP

工具清单（14 个）

美股（yfinance）

宏观 / 舆情

快速开始

Docker 部署

环境变量

附带：yahoo_quotes.py

鉴权与额度（可选）

端点一览

可观察性 / Observability

数据源说明

致谢

License

Maintenance

Resources

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polygon-mcp

MCP Financial Data Gateway

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