Data.gov MCP Server for Pydantic AI 13 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Data.gov through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Data.gov "
"(13 tools)."
),
)
result = await agent.run(
"What tools are available in Data.gov?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Data.gov MCP Server
Connect to Data.gov and explore the US government's open data catalog through natural conversation — no API key needed.
Pydantic AI validates every Data.gov tool response against typed schemas, catching data inconsistencies at build time. Connect 13 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Dataset Search — Search 300,000+ federal datasets by keyword, organization, tags and topic
- Dataset Details — Get full metadata including descriptions, resource downloads, licenses and data dictionaries
- Browse Organizations — Explore all federal agencies publishing open data (NASA, USDA, EPA, NOAA, Census Bureau, etc.)
- Browse by Topic — Discover datasets organized by topic: agriculture, climate, education, health, finance, public safety
- Browse by Tags — Find datasets by popular tags and categories
- Resource Formats — Discover available download formats (CSV, JSON, XML, Shapefile, GeoJSON, PDF)
The Data.gov MCP Server exposes 13 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Data.gov to Pydantic AI via MCP
Follow these steps to integrate the Data.gov MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 13 tools from Data.gov with type-safe schemas
Why Use Pydantic AI with the Data.gov MCP Server
Pydantic AI provides unique advantages when paired with Data.gov through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Data.gov integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Data.gov connection logic from agent behavior for testable, maintainable code
Data.gov + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Data.gov MCP Server delivers measurable value.
Type-safe data pipelines: query Data.gov with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Data.gov tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Data.gov and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Data.gov responses and write comprehensive agent tests
Data.gov MCP Tools for Pydantic AI (13)
These 13 tools become available when you connect Data.gov to Pydantic AI via MCP:
get_dataset
gov dataset by its ID or name. Returns full description, organization, tags, resource list (downloadable files), metadata dates, license info and data dictionary. Get detailed info for a specific dataset
get_group
Returns group name, description, image URL and published datasets (optional). Common groups: "agriculture", "climate", "education", "health", "finance", "public-safety". Get details for a specific topic group
get_group_datasets
Returns dataset titles, descriptions, organizations and download links. Get all datasets in a specific topic group
get_organization
gov. Returns organization name, description, contact info, image URL and published datasets (optional). Get details for a specific organization
get_organization_datasets
Returns dataset titles, descriptions, resource counts and download links. Get all datasets published by an organization
get_status
gov API including total counts of datasets, organizations, groups and tags. Get Data.gov API status and statistics
get_tag
Returns tag name, dataset count and associated datasets (up to 20). Get details for a specific tag
get_tag_datasets
Returns dataset titles, descriptions, organizations and download links. Get all datasets with a specific tag
list_groups
gov (e.g. agriculture, climate, education, health, finance). Returns group names, descriptions, image URLs and dataset counts. List all topic groups on Data.gov
list_organizations
gov. Returns organization names, descriptions, dataset counts, logos and contact info. List all organizations publishing data on Data.gov
list_resource_formats
). Useful for filtering datasets by preferred format. List all data formats available in Data.gov resources
list_tags
gov datasets. Returns tag names, dataset counts and display names. Useful for discovering common topics and filtering searches. List all tags used to categorize datasets
search_datasets
gov catalog of US federal government open datasets. Supports free-text search and filtering by organization, tags, groups. Returns dataset titles, descriptions, organizations, resource counts, tags and download links. Sort options include "metadata_modified desc" (recent), "views_recent desc" (popular). Search US government open data datasets
Example Prompts for Data.gov in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Data.gov immediately.
"Search for climate change datasets."
"What datasets does NASA publish?"
"Find education datasets about student performance."
Troubleshooting Data.gov MCP Server with Pydantic AI
Common issues when connecting Data.gov to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiData.gov + Pydantic AI FAQ
Common questions about integrating Data.gov MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Data.gov with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Data.gov to Pydantic AI
Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.