How to Use the Boostapp MCP in CrewAI

Q: How do I add the Boostapp MCP server to a CrewAI agent?

Pass your Vinkius endpoint URL directly into the agent's mcps list. The agent will automatically discover the createlead tool and use it when a prospect's contact info is found.

Q: Can I limit which CrewAI agents can access Boostapp?

Yes, you can use MCPServerHTTP from crewai.mcp along with a tool filter. This lets you expose the createlead tool only to your sales agent while keeping it hidden from research agents.

Q: How does CrewAI handle missing lead details for Boostapp?

If the agent tries to run createlead without a phone number or full name, the tool will return an error. The agent's internal loop will see this error, prompt the user for the missing info, and retry.

Equip your CrewAI agent teams to qualify and log sales leads directly into Boostapp without human intervention.

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Connect Boostapp MCP to CrewAI

Create your Vinkius account to connect Boostapp 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.

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Setup Boostapp with CrewAI

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Autonomous Lead Processing with CrewAI

This Boostapp MCP Server allows your specialized agent crews to log new prospects without writing custom API scripts. Your qualification agent can pass a prospect's details to a closer agent, who then runs `create_lead` with the correct pipeline stage. Because CrewAI supports shared memory, the agent remembers context from earlier in the chat. It pulls the phone number and full name from the initial greeting and uses them to populate the tool parameters.

Multi-Agent CRM Coordination

The Boostapp toolset integrates with hierarchical crews to split up complex sales tasks. A researcher agent can find the prospect's subscription details, while a writer agent executes `create_lead` to save the record. You can restrict access to this tool by using the MCP Server HTTP class with a tool filter. This ensures only your designated closer agent has permission to modify your CRM pipeline.

Automated Pipeline Assignment

This Boostapp integration lets your autonomous crews manage lead routing based on conversation sentiment. If the agent detects high purchase intent, it calls `create_lead` and sets the pipeline stage to hot. The crew handles the entire decision-making process in the background. It maps the customer's budget to your subscription details and fills out the optional parameters automatically.

Setup guide

Set up Boostapp MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Boostapp tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Boostapp Analyst",
    goal="Access and analyze Boostapp data via MCP.",
    backstory="Expert analyst with direct Boostapp access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Boostapp transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Boostapp Analyst",
        goal="Access and analyze Boostapp data via MCP.",
        backstory="Expert analyst with direct Boostapp access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Boostapp transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Boostapp. 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 Boostapp MCP in CrewAI

Pass your Vinkius endpoint URL directly into the agent's `mcps` list. The agent will automatically discover the `create_lead` tool and use it when a prospect's contact info is found.

Yes, you can use `MCPServerHTTP` from `crewai.mcp` along with a tool filter. This lets you expose the `create_lead` tool only to your sales agent while keeping it hidden from research agents.

If the agent tries to run `create_lead` without a phone number or full name, the tool will return an error. The agent's internal loop will see this error, prompt the user for the missing info, and retry.

This server supports stdio, SSE, and Streamable HTTP transports, making it easy to connect your python agents to the hosted Vinkius MCP endpoint.

Yes, all credentials, names, phone numbers, pipeline stages, and subscription details are handled inside a zero-trust V8 sandbox. The connection is ephemeral, meaning no lead data is stored in Vinkius logs once the agent finishes execution.

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