How to Use the U.S. Congress MCP in Pydantic AI
Get guaranteed data correctness when querying U.S. Congress with Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect U.S. Congress MCP to Pydantic AI
Create your Vinkius account to connect U.S. Congress to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Validate Bill Details with Pydantic AI
Use `get_bill_details` to pull full legislative records for a bill. The standout feature is that your agent validates the response against a Pydantic model. If the API sends unexpected data, your agent fails loudly—you never get silent corruption.
List Treaties via MCP Server
The `list_congress_treaties` tool retrieves treaties handled by Congress. This gives you a clean, type-safe list of documents. You know exactly what fields to expect, making your multi-agent workflow incredibly reliable.
Check Amendments with Pydantic AI
The `list_congress_amendments` tool provides a record of legislative amendments. Because every output is validated against a schema, you can trust that the data structure your agent receives for these complex records is correct.
Set up U.S. Congress MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"us-congress-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to U.S. Congress tools.",
)
result = await agent.run("List recent U.S. Congress transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Congress.gov. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about U.S. Congress MCP in Pydantic AI
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