Which TOTVS systems are compatible with this MCP?

This MCP is designed to work with standard REST APIs from Protheus, RM, and Fluig. Ensure your specific instance has the relevant API modules enabled.

How do I find my TOTVS Base URL?

The Base URL is the address of your ERP or Fluig web service (e.g., `https://erp.mycompany.com:8080/rest`). You can find this in your system's technical documentation or environment settings.

Can I automatically advance a Fluig process request?

Yes! Use the `advance_process` tool with the specific Process Instance ID. Your agent will trigger the workflow transition based on the logic defined in Fluig.

TOTVS MCP Server for LlamaIndex 11 tools — connect in under 2 minutes

Name: TOTVS
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TOTVS as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to TOTVS. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in TOTVS?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine TOTVS tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the TOTVS MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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 11 tools from TOTVS

Why Use LlamaIndex with the TOTVS MCP Server

LlamaIndex provides unique advantages when paired with TOTVS through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine TOTVS tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain TOTVS tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query TOTVS, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what TOTVS tools were called, what data was returned, and how it influenced the final answer

TOTVS + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the TOTVS MCP Server delivers measurable value.

Hybrid search: combine TOTVS real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query TOTVS to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying TOTVS for fresh data

Analytical workflows: chain TOTVS queries with LlamaIndex's data connectors to build multi-source analytical reports

TOTVS MCP Tools for LlamaIndex (11)

These 11 tools become available when you connect TOTVS to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting TOTVS to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

TOTVS + LlamaIndex FAQ

Common questions about integrating TOTVS MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.