TCE-SP (Audesp) MCP Server for Pydantic AIGive Pydantic AI instant access to 3 tools to List Despesas, List Municipios, List Receitas

Name: TCE-SP (Audesp)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The TCE-SP (Audesp) MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 3 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 TCE-SP (Audesp) "
            "(3 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in TCE-SP (Audesp)?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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<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 TCE-SP (Audesp) MCP Server

Connect to the TCE-SP Audesp system to audit and analyze public spending across municipalities in the state of São Paulo. This server provides direct access to the official transparency portal data.

Pydantic AI validates every TCE-SP (Audesp) tool response against typed schemas, catching data inconsistencies at build time. Connect 3 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

Municipality Lookup — List all cities under TCE-SP jurisdiction and retrieve their unique slugs for precise querying
Expense Analysis — Fetch detailed expense (despesas) records for any municipality, filtered by fiscal year and month
Revenue Tracking — Access revenue (receitas) data to monitor municipal collections and budget performance
Fiscal Auditing — Use AI to compare spending patterns and identify fiscal trends across different periods

The TCE-SP (Audesp) MCP Server exposes 3 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 3 TCE-SP (Audesp) tools available for Pydantic AI

When Pydantic AI connects to TCE-SP (Audesp) through Vinkius, your AI agent gets direct access to every tool listed below — spanning transparency, public-spending, fiscal-data, 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 despesas on TCE-SP (Audesp)

List expenses for a specific municipality, year, and month

list

List municipios on TCE-SP (Audesp)

List all municipalities under TCE-SP jurisdiction

list

List receitas on TCE-SP (Audesp)

List revenues for a specific municipality, year, and month

Connect TCE-SP (Audesp) to Pydantic AI via MCP

Follow these steps to wire TCE-SP (Audesp) 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 3 tools from TCE-SP (Audesp) with type-safe schemas

Why Use Pydantic AI with the TCE-SP (Audesp) MCP Server

Pydantic AI provides unique advantages when paired with TCE-SP (Audesp) 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 TCE-SP (Audesp) integration code

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

Dependency injection system cleanly separates your TCE-SP (Audesp) connection logic from agent behavior for testable, maintainable code

TCE-SP (Audesp) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the TCE-SP (Audesp) MCP Server delivers measurable value.

Type-safe data pipelines: query TCE-SP (Audesp) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple TCE-SP (Audesp) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query TCE-SP (Audesp) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock TCE-SP (Audesp) responses and write comprehensive agent tests

Example Prompts for TCE-SP (Audesp) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with TCE-SP (Audesp) immediately.

"List all municipalities available in the TCE-SP system."

"Show me the expenses for the municipality of 'santos' in January 2023."

"What were the revenues for 'campinas' in the year 2022, month 12?"

Troubleshooting TCE-SP (Audesp) MCP Server with Pydantic AI

Common issues when connecting TCE-SP (Audesp) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

TCE-SP (Audesp) + Pydantic AI FAQ

Common questions about integrating TCE-SP (Audesp) 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 TCE-SP (Audesp) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.