TOTVS MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect TOTVS through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="TOTVS Assistant",
instructions=(
"You help users interact with TOTVS. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from TOTVS"
)
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 TOTVS MCP Server
Connect your AI agents to TOTVS, the largest technology company in Brazil and Latin America. This MCP provides 10 tools to manage organizational data across Protheus, RM, and Fluig ecosystems, enabling seamless orchestration of HR, Financial, and Business Process Management (BPM) workflows.
The OpenAI Agents SDK auto-discovers all 11 tools from TOTVS through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries TOTVS, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- HR Orchestration — List employees and retrieve detailed profiles across the organization
- Financial Control — Monitor accounts payable/receivable and list real-time receipts and payments
- BPM Workflows — Track and advance process requests in Fluig and manage the Electronic Content Management (ECM) system
- Multi-System Access — Unified interaction with Protheus, RM, and Fluig through a single AI interface
The TOTVS MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect TOTVS to OpenAI Agents SDK via MCP
Follow these steps to integrate the TOTVS MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 11 tools from TOTVS
Why Use OpenAI Agents SDK with the TOTVS MCP Server
OpenAI Agents SDK provides unique advantages when paired with TOTVS 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
TOTVS + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the TOTVS MCP Server delivers measurable value.
Automated workflows: build agents that query TOTVS, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries TOTVS, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through TOTVS tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query TOTVS to resolve tickets, look up records, and update statuses without human intervention
TOTVS MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect TOTVS to OpenAI Agents SDK via MCP:
get_available_services
List available RM DataServers
get_employee_details
Get detailed information for a specific employee
get_process_request
Get details for a specific Fluig process request
get_rm_data
Query a specific record from an RM DataServer
list_companies
List all companies and branches in the Protheus environment
list_documents
List documents in the Fluig ECM
list_employees
List employees from the HR module
list_payments
List accounts payable (Finance)
list_processes
List all BPM processes in Fluig
list_receipts
List accounts receivable (Finance)
move_process_request
Advance a Fluig process request to the next state
Example Prompts for TOTVS in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with TOTVS immediately.
"List all active employees in my TOTVS RM environment."
"Show the accounts payable summary for this month from Protheus."
"List all pending workflow requests in Fluig."
Troubleshooting TOTVS MCP Server with OpenAI Agents SDK
Common issues when connecting TOTVS to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
TOTVS + OpenAI Agents SDK FAQ
Common questions about integrating TOTVS 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?
Connect TOTVS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect TOTVS to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
