How to Use the Amplemarket MCP in CrewAI

Q: How do I pass the Amplemarket MCP server to a CrewAI agent?

Pass your Vinkius HTTP URL directly into the mcps list when defining your agent in Python. CrewAI automatically configures the tools for that agent.

Q: Can I limit which Amplemarket tools a specific CrewAI agent can use on this MCP server?

Yes. Use the MCPServerHTTP class from crewai.mcp and apply a toolfilter to expose only specific tools like enrichperson to your researcher agent.

Deploy a crew of specialized sales agents using CrewAI and the Amplemarket MCP server.

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Connect Amplemarket MCP to CrewAI

Create your Vinkius account to connect Amplemarket 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 Amplemarket with CrewAI

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Perplexity

Multi-agent prospecting with CrewAI

`list_contacts` feeds fresh leads to your researcher agent, who then delegates target analysis to a writer agent. CrewAI coordinates these specialized roles, letting them pass data back and forth. The researcher pulls the raw list, while the writer drafts personalized emails based on the findings. This separation of concerns keeps your models focused and accurate.

Autonomous sequence enrollment

`list_sequences` checks which sales tracks are active before your operational agent makes any changes. The agent evaluates the prospect's status and decides whether to add them to a new campaign. This prevents double-emailing prospects. The crew coordinates internally, ensuring that no lead gets dropped into a sequence if they are already active in another one.

Strict exclusion list enforcement via MCP Server

`list_exclusions` acts as the master guardrail for your entire agent crew. A supervisor agent runs this tool on the MCP server to verify that no target domain is on your blocklist before any outreach agent can draft a message. By centralizing this check at the crew level, you eliminate compliance mistakes. The agents work independently but remain bound by your global exclusion rules.

Setup guide

Set up Amplemarket 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 Amplemarket tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your Vinkius HTTP URL directly into the `mcps` list when defining your agent in Python. CrewAI automatically configures the tools for that agent.

Yes. Use the `MCPServerHTTP` class from `crewai.mcp` and apply a `tool_filter` to expose only specific tools like `enrich_person` to your researcher agent.

Agents share a common memory space. When your researcher agent runs `enrich_company`, the resulting firmographic data is immediately accessible to the rest of the crew.

CrewAI supports stdio, SSE, and HTTP. For the Vinkius-hosted server, use the Streamable HTTP transport for the most reliable connection.

Your contact lists and exclusion rules are processed in memory during the execution run. The Vinkius sandbox isolates the execution, ensuring your raw CRM data never leaks to external logging systems or third-party vector databases.

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