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TCE-SP (Audesp) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 3 tools to List Despesas, List Municipios, List Receitas

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect TCE-SP (Audesp) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The TCE-SP (Audesp) MCP Server for OpenAI Agents SDK 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

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="TCE-SP (Audesp) Assistant",
            instructions=(
                "You help users interact with TCE-SP (Audesp). "
                "You have access to 3 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from TCE-SP (Audesp)"
        )
        print(result.final_output)

asyncio.run(main())
TCE-SP (Audesp)
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 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.

The OpenAI Agents SDK auto-discovers all 3 tools from TCE-SP (Audesp) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries TCE-SP (Audesp), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to wire TCE-SP (Audesp) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 3 tools from TCE-SP (Audesp)

Why Use OpenAI Agents SDK with the TCE-SP (Audesp) MCP Server

OpenAI Agents SDK provides unique advantages when paired with TCE-SP (Audesp) through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

TCE-SP (Audesp) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the TCE-SP (Audesp) MCP Server delivers measurable value.

01

Automated workflows: build agents that query TCE-SP (Audesp), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries TCE-SP (Audesp), another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through TCE-SP (Audesp) tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query TCE-SP (Audesp) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for TCE-SP (Audesp) in OpenAI Agents SDK

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

01

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

02

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

03

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

Troubleshooting TCE-SP (Audesp) MCP Server with OpenAI Agents SDK

Common issues when connecting TCE-SP (Audesp) to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

TCE-SP (Audesp) + OpenAI Agents SDK FAQ

Common questions about integrating TCE-SP (Audesp) MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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