How to Use the Focus NFe MCP in CrewAI
Run autonomous multi-agent teams that manage, audit, and emit Brazilian tax documents using CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Focus NFe MCP to CrewAI
Create your Vinkius account to connect Focus NFe to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Collaborative Tax Document Auditing
The `emit_nfe` tool allows your billing agent to generate product invoices after an audit agent verifies the line items. CrewAI coordinates these specialized agents to ensure tax calculations match state rules before submission. This division of labor prevents costly SEFAZ rejections. If an emission fails, a supervisor agent analyzes the error code and instructs the billing agent on how to correct the payload.
Autonomous Operations with the Focus NFe MCP Server
The `emit_nfse` tool lets an autonomous service agent handle municipal billing based on completed tasks in your project management system. The agent prepares the data, submits the invoice, and monitors the municipal response. If the prefeitura delays authorization, the agent triggers `consult_document` at scheduled intervals. This keeps your logistics pipeline moving without requiring human developers to write custom polling loops.
Automated Tax XML Retrieval and Archiving
The `download_xml` tool enables your archiving agent to fetch authorized XML files immediately after emission. The agent verifies the digital signature and organizes the files in your company's long-term storage. For canceled orders, a coordinator agent calls `cancel_document` and verifies the cancellation status. The agent then retrieves the updated XML to ensure your accounting records remain audit-compliant.
Set up Focus NFe MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Focus NFe tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Focus NFe Analyst",
goal="Access and analyze Focus NFe data via MCP.",
backstory="Expert analyst with direct Focus NFe access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Focus NFe transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Focus NFe Analyst",
goal="Access and analyze Focus NFe data via MCP.",
backstory="Expert analyst with direct Focus NFe access.",
tools=mcp_tools,
)
task = Task(
description="List recent Focus NFe transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Focus NFe. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Focus NFe MCP in CrewAI
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