Mcpservers
M

Mcpservers

The MCP server project for the US Data.gov public data portal encapsulates the public APIs of multiple US government agencies into standardized MCP servers, enabling AI tools to conveniently access public data such as census, financial regulation, drug safety, labor statistics, and environmental monitoring.
2 points
3.9K

What are US Data.gov MCP Servers?

These are a set of specially designed MCP servers that encapsulate various APIs of the US government's public data portal (data.gov) into standardized interfaces. Through the Model Context Protocol, AI tools such as Claude Desktop and Cline can directly access the US government's public data sets, including information on demographics, corporate finance, drug safety, employment data, and environmental monitoring.

How to use these MCP servers?

Using these servers is very simple: First, install the required server packages via pip or uv. Then, add the corresponding MCP server configuration to the configuration file of your AI tool (such as Claude Desktop). After the configuration is complete, you can directly query the US government's public data in AI conversations.

Use cases

These servers are particularly suitable for researchers, data analysts, journalists, students, and any users who need to access US public data. Whether for market research, academic analysis, news reporting, or personal learning, you can quickly obtain authoritative government data through AI assistants.

Main Features

Census data access
Provides demographic and economic data from the US Census Bureau, including key indicators such as population, household income, and employment status. Supports queries by geographical levels such as states and counties.
SEC company filings query
Accesses the EDGAR database of the US Securities and Exchange Commission (SEC) to query information on listed companies such as corporate financial reports, 10-K filings, and insider trading records.
FDA drug information
Connects to the openFDA API of the FDA to provide drug approval information, recall notices, adverse event reports, and medical device data to help understand drug safety information.
Labor statistics data
Obtains employment and economic data from the US Bureau of Labor Statistics (BLS), including economic indicators such as the unemployment rate, consumer price index (CPI), and wage levels.
Air quality monitoring
Accesses the Air Quality System (AQS) of the Environmental Protection Agency (EPA) to provide monitoring data on pollutants such as ozone and PM2.5. Supports queries by geographical location and time range.
Standardized interface
All servers follow the Model Context Protocol standard, providing a unified way to call tools and simplifying the access process for different data sources.
Advantages
Authoritative data sources: All data comes from official US government agencies, ensuring the accuracy and authority of the information
Convenient access: Directly query through AI assistants without manually accessing multiple government websites
Free to use: Most APIs are provided for free, and only a few require an API key
Real-time updates: The data is kept up-to-date as the government agencies update
Standardized interface: The unified MCP protocol keeps the usage methods of different data sources consistent
Limitations
Some APIs require an application for a key: For example, the Census and BLS APIs require registration to obtain an API key
Data delay: Some government data may have a release delay of 1 - 3 months
Query restrictions: Some APIs have request frequency limits
Technical dependence: You need to configure the MCP client tool to use
Data scope: Mainly covers US data, and international data is limited

How to Use

Select the required server
Select the MCP server to install according to your needs. For example, if you need population data, install the census-data server; if you need corporate financial information, install the sec-edgar server.
Obtain an API key (if required)
Some servers require an API key. Visit the websites of the corresponding government agencies to register and obtain: Census API (optional), BLS API (required), EPA AQS API (required).
Configure the AI tool
Add the MCP server configuration to the configuration file of the AI tool you are using (such as Claude Desktop). You need to specify the server command, parameters, and environment variables.
Start using
After restarting the AI tool, you can directly query government data in the conversation. For example, directly say "Get the population data of California" in Claude.

Usage Examples

Market research analysis
A company plans to open a new branch in Texas and needs to understand the local population structure and economic situation.
Investment decision support
An investor wants to understand the financial situation and recent developments of a listed company.
Drug safety research
Medical researchers need to understand the safety and recall history of a certain drug.
Environmental health assessment
Community residents are concerned about the impact of local air quality on health.

Frequently Asked Questions

Do I need to pay to use these MCP servers?
Which AI tools support these MCP servers?
What is the data update frequency?
Can I use these servers if I don't have a technical background?
What query languages are supported by these servers?
How is the data accuracy guaranteed?

Related Resources

Model Context Protocol official documentation
Understand the technical details and specifications of the MCP protocol
Data.gov developer resources
APIs and development documentation of the US government data portal
GitHub project repository
View the source code, submit issues, or participate in contributions
Census API documentation
Detailed guide to the US Census Bureau API
SEC EDGAR API
Technical documentation for the SEC company filings API
Claude Desktop configuration guide
How to configure MCP servers in Claude Desktop

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "us-data-mcp.census-data": {
      "command": "uvx",
      "args": ["us-data-mcp.census-data@latest"],
      "env": {
        "CENSUS_API_KEY": "your-api-key-here"
      }
    },
    "us-data-mcp.sec-edgar": {
      "command": "uvx",
      "args": ["us-data-mcp.sec-edgar@latest"]
    },
    "us-data-mcp.fda-drugs": {
      "command": "uvx",
      "args": ["us-data-mcp.fda-drugs@latest"]
    },
    "us-data-mcp.bls-labor": {
      "command": "uvx",
      "args": ["us-data-mcp.bls-labor@latest"],
      "env": {
        "BLS_API_KEY": "your-api-key-here"
      }
    },
    "us-data-mcp.epa-airquality": {
      "command": "uvx",
      "args": ["us-data-mcp.epa-airquality@latest"],
      "env": {
        "EPA_AQS_EMAIL": "your-email@example.com",
        "EPA_AQS_KEY": "your-api-key-here"
      }
    }
  }
}

{
  "mcpServers": {
    "us-data-mcp.census-data": {
      "command": "python",
      "args": ["-m", "us_data_mcp.census_data.server"],
      "env": {
        "CENSUS_API_KEY": "your-api-key-here"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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