Universal Public Data MCP Server

@inamdarmihir

代码仓库

基本信息

分类

数据与分析

许可证

MIT license

传输方式

stdio

作者

inamdarmihir

关于 Universal Public Data MCP Server

Universal Public Data MCP Server with real API integrations for financial, government, scientific, news, geographic, and technology data

Universal Public Data MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "universal-public-data-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Universal Public Data MCP Server 工具

`get_stock_data`, `get_crypto_data`, `get_exchange_rates`

`get_census_data`, `get_economic_indicators`, `search_sec_filings`

`get_nasa_data`, `search_research_papers`, `get_climate_data`

`get_breaking_news`, `search_news`, `analyze_media_sentiment`

`get_weather_data`, `get_air_quality`, `get_disaster_alerts`

`get_github_trends`, `get_domain_info`, `analyze_tech_trends`

`get_system_status`, `get_api_metrics`, `get_cache_stats`

概览

What is Universal Public Data MCP Server?

A production-ready Model Context Protocol (MCP) server providing unified access to multiple public data sources including government, scientific, financial, news, and geographic APIs. Designed for enterprise deployment with comprehensive monitoring, caching, and resilience features.

How to use Universal Public Data MCP Server?

Clone the repository, create a Python virtual environment, install dependencies, and run python demo.py to verify. Configure the MCP client (e.g., Cursor IDE or Claude Desktop) with the command python src/server.py and the correct working directory. An optional config.yaml file can set cache, rate‑limit, and API key parameters.

Key features of Universal Public Data MCP Server

Circuit breakers for automatic failure detection and recovery
Multi‑tier caching with optional Redis support
Exponential backoff retry logic for failed requests
Real‑time health monitoring and performance metrics
Data validation and format standardization across sources
Docker support for simple production deployment

Use cases of Universal Public Data MCP Server

Retrieve real‑time stock, crypto, and exchange rate data
Search SEC filings, census data, and economic indicators
Query NASA APIs, research papers (PubMed/ArXiv), and climate data
Fetch breaking news, analyze media sentiment, and monitor trends
Get weather, air quality, and disaster alerts for a location

常见问题

What data sources are supported?

Government (US Census, Federal Reserve, SEC, USGS), scientific (NASA, PubMed, ArXiv, NOAA), financial (Yahoo Finance, CoinGecko), news (RSS with sentiment analysis), geographic (weather, air quality, disaster alerts), and technology (GitHub trends, domain info).

How do I configure API keys?

Optional API keys for enhanced rate limits are set in the `config.yaml` file under the `api_keys` section (e.g., `nasa`, `github`).

What are the runtime requirements?

Python 3.9 or later (the Docker image uses `python:3.9-slim`). Redis is optional for high‑performance caching.

How can I add a new data source?

Create a new adapter in `src/adapters/`, register the corresponding tools in `src/server.py`, and add tests in the `tests/` directory.

Does the server support authentication or custom transports?

The server uses the standard MCP protocol. No custom transports are documented; configuration is handled via the MCP client config and an optional `config.yaml`.

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