TCE-SP (Audesp) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 3 tools to List Despesas, List Municipios, List Receitas
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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 despesas on TCE-SP (Audesp)
List expenses for a specific municipality, year, and month
List municipios on TCE-SP (Audesp)
List all municipalities under TCE-SP jurisdiction
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.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query TCE-SP (Audesp), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries TCE-SP (Audesp), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through TCE-SP (Audesp) tools and transform it with OpenAI models in a single async loop
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.
"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 OpenAI Agents SDK
Common issues when connecting TCE-SP (Audesp) to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
TCE-SP (Audesp) + OpenAI Agents SDK FAQ
Common questions about integrating TCE-SP (Audesp) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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