mcp-census
About
Proof of concept for an MCP Server delivering Census Bureau data for AI Agent interoperability
Details
- Author
- aaronbrezel
- Downloads
- 232
- Categories
- Other
Jump to
- Delivers 2020 decennial Census Bureau data
- Integrates with Gemini API for AI agent capabilities
- Uses the Model Context Protocol (MCP)
- Includes a sample agent for proof-of-concept use
- Operates with the uv Python package manager
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
mcp-censusCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
The server requires two API keys: CENSUS_API_KEY (request at https://api.census.gov/data/key_signup.html) and GEMINI_API_KEY (request at https://ai.google.dev/gemini-api/docs/api-key). To run the MCP server, execute uv run python mcp_server/app.py. An accompanying agent can be run with uv run python app.py.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp-census": {
"mcp-census": {
"command": "uv",
"args": [
"run",
"python",
"mcp_server/app.py"
]
}
}
}
}McpServers
{
"mcp-census": {
"command": "uv",
"args": [
"run",
"python",
"mcp_server/app.py"
]
}
}mcp-census
Proof of concept for an MCP Server delivering Census Bureau 2020 decennial data for AI Agent interoperabilityAPI Key
CENSUS_API_KEY=<your key here>
GEMINI_API_KEY=<your key here>
To request a census API key, visit https://api.census.gov/data/key_signup.html
To request a gemini API key, visit https://ai.google.dev/gemini-api/docs/api-key
Run the MCP server
uv run python mcp_server/app.py
Run the agent
uv run python app.py
Agent architecture
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