How to Use the ALESP (Assembleia SP) MCP in Pydantic AI

Get type-safe, validated legislative data from ALESP (Assembleia SP) in Pydantic AI.

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Connect ALESP (Assembleia SP) MCP to Pydantic AI

Create your Vinkius account to connect ALESP (Assembleia SP) 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 ALESP (Assembleia SP) with Pydantic AI

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Claude

Perplexity

Validate deputy and party data

Use `get_deputados` and `get_partidos` to populate your Pydantic models. Every response from the MCP Server is checked against your schema at runtime. This prevents malformed data from breaking your logic. If the legislative portal returns a weird field, your agent catches it immediately.

Standardize legislative norms

Fetch laws and decrees via `get_legislacao_normas` and map them to your internal data structures. Pydantic AI ensures your agent works with clean, validated objects every time. It eliminates the risk of silent parsing errors. You define the shape of the data, and the tool ensures it matches.

Check current and past proposals

Call `get_documento_andamento_atual` to see the latest bill status. Pydantic AI enforces strict typing on the returned status codes. Your application logic stays clean because you aren't guessing the data format. The server and your agent speak the same type-safe language.

Setup guide

Set up ALESP (Assembleia SP) 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": {
        "alesp-assembleia-sp-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent ALESP (Assembleia SP) transactions")
print(result.output)

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Common questions about ALESP (Assembleia SP) MCP in Pydantic AI

Install the slim MCP package and initialize the MCPToolset with our HTTP endpoint. Pass this toolset into your Agent definition to start receiving validated data.

Yes. By defining your models, Pydantic AI checks every property returned by our tools. It throws a validation error if the assembly data doesn't match your expected schema.

Yes. Pydantic AI remains model-agnostic, meaning you can swap the underlying model while keeping your legislative tool integration identical. Your logic remains consistent.

Your Pydantic models will catch the missing data based on your specific requirements. It forces you to handle the edge case explicitly rather than letting your agent hallucinate a value.

Your data transit is encrypted, and the Vinkius sandbox ensures your agent's legislative queries are logically separated from other users. We maintain zero logs of the specific legislative content you fetch.

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