Pydantic AISDK

TCE-SP (Audesp) MCP Server

Bring Transparency
to Pydantic AI

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

Learn how to connect TCE-SP (Audesp) to Pydantic AI and start using 3 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

List DespesasList MunicipiosList Receitas

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What is the 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.

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

How it works

Subscribe to this server
Enter your API access credentials or token
Start querying public data from any MCP-compatible client like Claude or Cursor

Who is this for?

Journalists & Researchers — quickly extract fiscal data for investigative reporting without manual portal navigation
Public Managers — monitor municipal performance and compare budget execution against historical data
Citizens & Activists — promote transparency by easily accessing how public resources are being allocated

Built-in capabilities (3)

list_despesas

List expenses for a specific municipality, year, and month

list_municipios

List all municipalities under TCE-SP jurisdiction

list_receitas

List revenues for a specific municipality, year, and month

Why Pydantic AI?

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.

—
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

See it in action

TCE-SP (Audesp) in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

TCE-SP (Audesp) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect TCE-SP (Audesp) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for TCE-SP (Audesp) in Pydantic AI

The TCE-SP (Audesp) 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. All 3 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full TCE-SP (Audesp) details →

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

The Vinkius Advantage

How Vinkius secures
TCE-SP (Audesp) for Pydantic AI

Every tool call from Pydantic AI to the TCE-SP (Audesp) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How do I find the correct name (slug) for a specific city?

Use the list_municipios tool. It returns a complete list of all municipalities under TCE-SP jurisdiction with their respective slugs needed for expense and revenue queries.

Can I query data for any year and month?

Yes, using list_despesas or list_receitas, you can specify the exercicio (year) and mes (month, 1-12) to get precise historical data for a municipality.

What is the difference between list_despesas and list_receitas?

list_despesas focuses on how the municipality spent its budget (expenses), while list_receitas shows the income and collections (revenues) received by the city.

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.