How to Use the Funil de Vendas MCP in CrewAI
Deploy a crew of specialized AI agents to manage your Funil de Vendas pipeline autonomously.
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.
Autonomous pipeline management with CrewAI
The `list_crm_opportunities` tool allows your triage agent to scan your active sales pipeline for bottlenecked deals. In a CrewAI setup, one agent can focus entirely on identifying deals that have stalled in a specific stage, while a secondary coordinator agent plans the next moves. By querying `list_sales_funnels`, the crew understands your exact sales methodology. The coordinator then delegates tasks to a writer agent, who uses `create_crm_activity` to draft personalized follow-up templates for the assigned sales representatives.
Multi-agent lead processing via MCP Server
The `create_new_deal_lead` tool serves as the entry point for raw prospect data captured by your research agents. Within CrewAI, a researcher agent gathers background info on a new lead, a validator agent checks the data against `list_crm_custom_fields`, and an executive agent writes the clean record. This multi-step validation prevents duplicate entries and incomplete files. Your crew ensures that every deal added to the CRM is fully enriched with correct product associations retrieved via `list_crm_products`.
CrewAI agent coordination for sales tasks
The `list_crm_activities` tool provides your operations crew with a complete view of scheduled tasks across the team. A supervisor agent monitors this list to detect overdue activities or missing follow-ups that could threaten active deals. When a gap is found, the agent uses `update_crm_activity` to reassign the task or escalate the issue. This constant background monitoring keeps your sales team focused on high-priority deals without manual intervention from sales ops.
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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Common questions about Funil de Vendas MCP in CrewAI
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