How to Use the HeyReach MCP in CrewAI

Q: What is the best way to find campaign IDs for MCP tools?

Have an initialization agent run listcampaigns at the start of the crew's execution. It stores the IDs in shared memory so downstream agents can use them for injecting leads.

Deploy specialized CrewAI agents to run autonomous LinkedIn outreach, score leads, and manage HeyReach campaigns without human intervention.

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Connect HeyReach MCP to CrewAI

Create your Vinkius account to connect HeyReach 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 HeyReach with CrewAI

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Delegate HeyReach MCP Server campaign management

The `list_campaigns` tool feeds active outreach data to your CrewAI Manager Agent. This supervisor monitors overall performance and delegates specific tasks to subordinate agents based on the campaign status. If the Manager detects low engagement, it orders an Operations Agent to execute `pause_campaign`. Once the strategy is adjusted, the agent fires `resume_campaign` to put the sequence back on track autonomously.

Assign researchers to scrape and queue leads

A dedicated Research Agent calls `get_lead_details` to pull deep background info on target prospects. It analyzes the LinkedIn profile data and scores the lead against your ideal customer profile. High-scoring leads get passed to a Fulfillment Agent that executes `add_leads_to_campaign`. The MCP setup formats the data into the required leads_json array and injects the prospects directly into the active outreach queue.

Build autonomous inbox response teams

Your Monitor Agent continuously polls `list_conversations` to find new replies in the LinkedIn inbox. It categorizes the responses and routes them to specialized agents for handling. A Sales Agent drafts a tailored reply and triggers `send_linkedin_message` with the target conversation ID and JSON payload. The team works in the background, keeping conversations warm while you focus on closing calls.

Setup guide

Set up HeyReach 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 HeyReach tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the endpoint URL directly into the mcps array when defining your Agent. For more granular control, use MCPServerHTTP to filter which tools each specific agent can access.

Yes. Your agents share memory and can coordinate actions. One agent can run `list_linkedin_accounts` to check sender capacity while another drafts the messages.

Implement a hierarchical execution structure. A Junior Agent drafts the payload for `send_linkedin_message`, but a Manager Agent must approve the text before the tool actually fires.

Have an initialization agent run `list_campaigns` at the start of the crew's execution. It stores the IDs in shared memory so downstream agents can use them for injecting leads.

CrewAI agents only access the specific conversation IDs and lead details necessary for their assigned tasks. The integration runs inside a zero-trust, ephemeral V8 isolate, ensuring no API keys or message histories are ever stored at rest.

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