Aracaju MCP Server for Pydantic AIGive Pydantic AI instant access to 5 tools to List Bids, List Contracts, List Expenses, and more

Name: Aracaju
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Aracaju through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Aracaju MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 5 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

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 Aracaju "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Aracaju?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Aracaju MCP Server

Connect to the Aracaju Transparency Portal to audit and analyze public data from the capital of Sergipe, Brazil. This server allows any AI agent to query municipal financial records and administrative data in real-time.

Pydantic AI validates every Aracaju tool response against typed schemas, catching data inconsistencies at build time. Connect 5 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

Revenues & Income — List and analyze municipality revenues by fiscal year and month to track tax collection and transfers.
Public Spending — Query detailed expenses (despesas) by year or specific government bodies to monitor how public funds are allocated.
Tenders & Bids — Access information on public tenders (licitações) to stay informed about government procurement processes.
Contracts — Inspect signed contracts and agreements between the municipality and third parties.
Personnel & Payroll — Retrieve data regarding public servants and payroll (servidores) to ensure administrative transparency.

The Aracaju MCP Server exposes 5 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 5 Aracaju tools available for Pydantic AI

When Pydantic AI connects to Aracaju through Vinkius, your AI agent gets direct access to every tool listed below — spanning transparency, public-spending, aracaju, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

list

List bids on Aracaju

List public tenders and bids (licitações)

list

List contracts on Aracaju

List signed contracts (contratos)

list

List expenses on Aracaju

List municipality expenses (despesas)

list

List personnel on Aracaju

List public servants and payroll (servidores)

list

List revenues on Aracaju

List municipality revenues (receitas)

Connect Aracaju to Pydantic AI via MCP

Follow these steps to wire Aracaju into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 5 tools from Aracaju with type-safe schemas

Why Use Pydantic AI with the Aracaju MCP Server

Pydantic AI provides unique advantages when paired with Aracaju 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 Aracaju integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Aracaju connection logic from agent behavior for testable, maintainable code

Aracaju + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Aracaju MCP Server delivers measurable value.

Type-safe data pipelines: query Aracaju with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Aracaju tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Aracaju and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Aracaju responses and write comprehensive agent tests

Example Prompts for Aracaju in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Aracaju immediately.

"List the revenues for Aracaju in January 2024."

"Show me the latest public bids in the city."

"What are the expenses for the health department in 2023?"

Troubleshooting Aracaju MCP Server with Pydantic AI

Common issues when connecting Aracaju to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Aracaju + Pydantic AI FAQ

Common questions about integrating Aracaju MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Aracaju MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.