How to Use the Funil de Vendas MCP in CrewAI
Deploy an autonomous crew of AI agents to manage your Funil de Vendas pipeline. Prospecting to reporting, fully automated.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Funil de Vendas MCP to CrewAI
Create your Vinkius account to connect Funil de Vendas 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.
Assemble an Autonomous CrewAI Sales Team
Don't just run one agent. Deploy a specialized crew. Assign a 'Prospector' agent the `create_person` and `create_company` tools to add new leads into Funil de Vendas from a source list. It works methodically, adding one contact at a time. Once a prospect is created, it hands off to an 'Account Executive' agent. This agent's only job is to use `create_opportunity` to open a new deal, linking it to the person and company the Prospector just made. Each agent has a clear role, just like a real team.
Automate Pipeline Progression
Your Account Executive agent can do more than just open deals. Give it the `update_opportunity` tool and a set of rules. Based on incoming emails or calendar events, this agent can find the right deal with `list_opportunities` and move it to the next stage. To keep it from going off the rails, the agent can first consult the `list_funnels` tool to know exactly which stages are valid. This prevents errors and ensures the agent operates within your established sales process. It's disciplined, autonomous execution.
Delegate Reporting to a Manager Agent
You need oversight. Create a 'Sales Manager' agent that runs once a day. Its job is to use `get_people_stats` and `list_opportunities` to get a snapshot of the entire pipeline's health and the team's activity. This manager agent doesn't change any data. It's a read-only role, designed for analysis and reporting. It can summarize its findings and send a daily brief, giving you a constant, automated overview of your Funil de Vendas account without any manual work.
Set up Funil de Vendas 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 Funil de Vendas tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Funil de Vendas Analyst",
goal="Access and analyze Funil de Vendas data via MCP.",
backstory="Expert analyst with direct Funil de Vendas access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Funil de Vendas 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="Funil de Vendas Analyst",
goal="Access and analyze Funil de Vendas data via MCP.",
backstory="Expert analyst with direct Funil de Vendas access.",
tools=mcp_tools,
)
task = Task(
description="List recent Funil de Vendas 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 Funil de Vendas. 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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