How to Use the Hiver MCP in CrewAI

Q: How do I filter tools for a specific CrewAI agent?

Use the toolfilter parameter in your CrewAI setup. You can restrict an agent to only use listinboxconversations without granting them write access.

Q: Can I use CrewAI to monitor Hiver API health?

You can add a maintenance agent that calls getapistatus periodically. If the service is down, it alerts your team before a ticket is missed.

Deploy a support crew in CrewAI. Use autonomous agents to manage shared inboxes and resolve customer issues at scale.

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Connect Hiver MCP to CrewAI

Create your Vinkius account to connect Hiver 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 Hiver with CrewAI

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Autonomous ticket triage with CrewAI

Assign a monitor agent in your CrewAI team to poll `list_inbox_conversations`. When a new thread appears, it passes the data to an analyst agent. The analyst agent uses `get_conversation_details` to decide the priority. Your team only sees the tickets that actually require human attention.

Role-based collaboration in CrewAI

Give your research agent access to `list_inbox_tags` and `search_team_members`. It identifies the necessary context for the support agent to write a reply. This specialization makes your CrewAI agents more effective. They share memory and context, ensuring the draft is accurate every time.

Status management across CrewAI teams

The moderator agent in your CrewAI setup can use `update_thread_status` to close resolved tickets. It keeps your inbox clean without human input. This closes the loop on your support operations. Your agents handle the heavy lifting while you focus on high-level strategy.

Setup guide

Set up Hiver 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 Hiver tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

They can. By giving your CrewAI agents the Hiver tools, they can read threads, apply tags, and update statuses autonomously.

Yes. You can structure your CrewAI team so a manager agent delegates specific Hiver tasks to specialized agents based on the inbox content.

Use the tool_filter parameter in your CrewAI setup. You can restrict an agent to only use `list_inbox_conversations` without granting them write access.

You can add a maintenance agent that calls `get_api_status` periodically. If the service is down, it alerts your team before a ticket is missed.

The MCP protocol provides a strict boundary. Your Hiver thread data is scoped to the specific tools requested, and the Vinkius sandbox prevents unauthorized access.

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