How to Use the LegiScan Legislation Lookup MCP in Pydantic AI

Use LegiScan Legislation Lookup with Pydantic AI for type-safe, validated legislative data extraction.

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Connect LegiScan Legislation Lookup MCP to Pydantic AI

Create your Vinkius account to connect LegiScan Legislation Lookup 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.

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Setup LegiScan Legislation Lookup with Pydantic AI

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Claude

Perplexity

Type-safe bill searching

Execute `search_bills` and let Pydantic AI validate every returned field against your models. If the API returns malformed data, the agent fails immediately to prevent downstream errors. This prevents silent corruption in your legislative tracking. You get guaranteed structure for every search result.

Validated bill details retrieval

Use `get_bill_details` to fetch precise legislative records. Pydantic AI ensures the bill status and history objects match your expected schema exactly. Your agent works with confirmed data types. This removes the need for manual parsing or custom validation logic.

State list verification

The `get_state_master_list` tool provides a consistent set of state codes for your agent. You can enforce these types in your code to avoid invalid API calls. This keeps your agent's logic sound. By matching the API's state list to your Pydantic models, you eliminate runtime surprises.

Setup guide

Set up LegiScan Legislation Lookup 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 deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with 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 call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "legiscan-legislation-lookup-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to LegiScan Legislation Lookup tools.",
)

result = await agent.run("List recent LegiScan Legislation Lookup transactions")
print(result.output)

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Common questions about LegiScan Legislation Lookup MCP in Pydantic AI

The framework matches the JSON response from the server against your defined models. Any mismatch triggers an immediate validation error.

Yes. Every tool response is treated as a typed object. This ensures your agent logic is strictly enforced.

The server is model-agnostic. It works with any LLM you use within your Pydantic AI agent.

You authenticate via an endpoint token. The server manages the session so your agent can focus on data processing.

The server handles only public bill information. It provides no persistent storage, ensuring your legislative data requests remain private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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