How to Use the Affinity MCP in CrewAI

Q: How do I configure CrewAI to use the Affinity MCP server?

Pass your secure Vinkius URL directly into the mcps parameter when defining your CrewAI agents. The framework automatically loads the tools for your agents to use.

Q: Can I restrict which Affinity tools a CrewAI agent can access?

Yes. Use the MCP server helper from crewai.mcp and apply a toolfilter to expose only specific tools, like listsmartlists, to certain agents.

Deploy specialized agent teams to manage your Affinity CRM data using CrewAI.

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Connect Affinity MCP to CrewAI

Create your Vinkius account to connect Affinity 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 Affinity with CrewAI

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Delegate pipeline analysis to CrewAI agents

The `list_list_entries` tool lets your research agent pull people and organizations from specific smart lists. The agent then passes this raw list to an analyst agent for evaluation. This division of labor keeps your operations fast. One agent gathers the entries while another drafts personalized outreach briefs based on the list data.

Track team touchpoints using this MCP Server

The `list_interactions` tool pulls chronological logs of emails, meetings, and calls. Your specialized monitoring agent reviews these touchpoints to flag dormant accounts. Once identified, the monitor agent alerts a writer agent to draft a re-engagement email. The entire process runs autonomously within your CrewAI execution pipeline.

Map network connections with specialized roles

The `list_persons` tool retrieves paginated records of your team's network contacts. Your specialized network agent parses these contacts to find warm introduction paths. By combining this with `list_organizations`, your crew maps out which team members have the strongest relationships at target companies.

Setup guide

Set up Affinity 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 Affinity tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your secure Vinkius URL directly into the `mcps` parameter when defining your CrewAI agents. The framework automatically loads the tools for your agents to use.

Yes. Use the MCP server helper from `crewai.mcp` and apply a `tool_filter` to expose only specific tools, like `list_smart_lists`, to certain agents.

Agents use CrewAI's shared memory. When one agent pulls records using `list_persons`, those details are available to other agents in the crew for subsequent tasks.

The integration supports stdio, SSE, and Streamable HTTP. Vinkius manages these connections, giving your Python crew instant access to the MCP server via a single endpoint.

Yes. Your interaction logs and CRM lists are accessed via an encrypted, zero-trust connection. Vinkius runs the server in an isolated sandbox, ensuring your communication history is never stored.

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