How to Use the ComplyAdvantage MCP in CrewAI

Q: How can I filter ComplyAdvantage tools for specific CrewAI agents?

You can use the toolfilter parameter in your agent configuration. This allows you to give a research agent access only to listsearches while restricting an action agent to updatesearch.

Deploy a crew of autonomous agents to handle global AML monitoring and entity risk management with ComplyAdvantage.

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Connect ComplyAdvantage MCP to CrewAI

Create your Vinkius account to connect ComplyAdvantage 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 ComplyAdvantage with CrewAI

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Autonomous screening crews in CrewAI

Assign one agent to perform `create_search` while another reviews the output with `get_search_details`. This separation of duties mimics a real-world compliance department. The agents share memory to keep track of entity status. You define the hierarchy, and the crew handles the screening process from start to finish without human intervention.

Continuous risk monitoring

Set up a monitor agent to periodically run `get_search_monitors` for your active portfolio. It watches for changes and flags anything that requires your attention. When a change is detected, the agent uses `acknowledge_monitor` to clear the alert. This keeps your dashboard clean and ensures your team only looks at verified risk events.

Manage tags and comments

Organize your investigation history by using `create_comment` to document why an entity was cleared. You can also use `delete_search_tag` to update categories as entities evolve. This keeps your audit logs organized and searchable. Your agents handle the administrative work, so your compliance officers can focus on the edge cases that matter.

Setup guide

Set up ComplyAdvantage 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 ComplyAdvantage tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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

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

You can use the tool_filter parameter in your agent configuration. This allows you to give a research agent access only to `list_searches` while restricting an action agent to `update_search`.

You define a process flow in your crew setup. For example, the first agent creates the search, and the second agent consumes the result to determine if further monitoring is needed.

Yes, agents can pass the results of their tool calls into the shared memory pool. This allows subsequent agents to use that data for their own tasks.

Absolutely. Since the MCP server supports SSE and HTTP, your headless agents can connect to it in any CI/CD or production server environment.

All search history data is restricted to your account's encrypted storage. The server environment is ephemeral, ensuring that sensitive entity records are never cached between sessions.

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