How to Use the CRM PipeRun MCP in CrewAI

Q: Can I limit which CRM PipeRun tools a specific CrewAI agent can use?

Yes. Use MCPServerHTTP from crewai.mcp and apply a toolfilter to expose only safe tools like listactivities to junior agents.

Deploy specialized agent teams to manage your CRM PipeRun sales pipeline autonomously using CrewAI.

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Connect CRM PipeRun MCP to CrewAI

Create your Vinkius account to connect CRM PipeRun 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 CRM PipeRun with CrewAI

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Run multi-agent PipeRun operations with CrewAI

The `list_activities` tool finds pending follow-ups for your CrewAI operator agent via this MCP Server. Assign a Researcher agent to gather deal context and an Operator agent to execute changes. Together, they decide the next best action. The Operator then calls `update_activity` to update the task status, ensuring your CRM reflects their joint decision without manual input.

Let CrewAI agents organize your PipeRun files

The `list_files` tool audits what is attached to a specific deal, identifying missing documents like signed agreements. A dedicated document agent can monitor incoming files. Once the missing file is located, the agent uses `upload_file` to attach it to the company record. If a file is duplicated or outdated, it can call `delete_file` to keep the record clean.

Prepare for sales calls using this MCP Server

The `get_activity_type` tool retrieves the meeting format so your CrewAI prep agent can prepare for sales calls. It gathers relevant attachments using `get_file` to build a briefing document. The agent saves this brief directly to the deal. This entire sequence runs in the background, ensuring you have the latest context before your calendar alert goes off.

Setup guide

Set up CRM PipeRun 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 CRM PipeRun tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent CRM PipeRun 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="CRM PipeRun Analyst",
        goal="Access and analyze CRM PipeRun data via MCP.",
        backstory="Expert analyst with direct CRM PipeRun access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent CRM PipeRun 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 PipeRun. 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 CRM PipeRun MCP in CrewAI

Pass your Vinkius endpoint URL directly into the agent's mcps array parameter. The agent automatically discovers tools like list_activities and update_activity.

Yes. Use MCPServerHTTP from crewai.mcp and apply a tool_filter to expose only safe tools like list_activities to junior agents.

CrewAI's shared memory allows agents to pass the output of tools like get_activity to other agents in the crew, facilitating collaborative decisions.

Yes. While the server is hosted on Vinkius, CrewAI connects to it via standard HTTP/SSE protocols, making it fully compatible with Python-based crews.

Your customer contact details, sales pipeline files, and activity logs are processed inside ephemeral sandboxes. Vinkius secures the credentials, ensuring CrewAI agents only access authorized endpoints.

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