How to Use the Konfío MCP in CrewAI
Deploy specialized CrewAI agent teams to audit Konfío credit card transactions and manage SAT invoices autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Konfío MCP to CrewAI
Create your Vinkius account to connect Konfío 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.
Coordinate Multi-Agent Audits of Credit Card Spend
The `list_cc_transactions` tool fetches corporate card activity directly from your Konfío account. In a CrewAI setup, an auditor agent calls this tool to collect transaction histories, while an analyst agent flags non-compliant expenses. This cooperative approach replaces manual receipt matching. By sharing memory across your crew, the agents remember previous transaction patterns, allowing them to categorize expenses and flag anomalies without human oversight.
Autonomous Invoicing and CFDI Reconciliation
The `list_invoices` tool retrieves issued and received electronic invoices directly from the SAT-compliant database. Your CrewAI billing agent uses this tool to reconcile incoming invoices against outgoing bank transfers. Once reconciled, a second agent can invoke `create_invoice` to bill clients for outstanding balances. The entire operation runs sequentially, passing context from the audit phase directly to the billing execution step.
Deploy an Autonomous Finance Team with this MCP Server
The `get_business_profile` tool retrieves your company's official financial profile and operational limits. Your CrewAI supervisor agent uses this metadata to delegate tasks to specialized underwriter and payment agents. Connecting this MCP Server to your crew gives them the context they need to make business decisions. The agents coordinate credit requests and loan payments based on your actual, real-time business profile.
Set up Konfío 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 Konfío tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Konfío Analyst",
goal="Access and analyze Konfío data via MCP.",
backstory="Expert analyst with direct Konfío access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Konfío 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="Konfío Analyst",
goal="Access and analyze Konfío data via MCP.",
backstory="Expert analyst with direct Konfío access.",
tools=mcp_tools,
)
task = Task(
description="List recent Konfío 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 Konfío. 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.
Why Choose Vinkius
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Real-time monitoring
Live
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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One
place for every integration
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Common questions about Konfío MCP in CrewAI
Use it with your favorite AI tools
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