How to Use the Hiveage MCP in CrewAI

Q: How do I configure the Hiveage MCP tools for a CrewAI agent?

You can pass your Vinkius HTTP endpoint directly into the mcps array parameter when defining your CrewAI agent. This immediately exposes tools like listinvoices and recordpayment to that specific agent's toolkit.

Q: Does CrewAI support selective tool exposure for the Hiveage MCP Server?

Yes, by using MCPServerHTTP from the crewai.mcp package, you can apply a toolfilter. This lets you restrict your auditing agent to listinvoices while blocking it from using destructive or payment-recording tools.

Deploy a crew of autonomous financial agents using CrewAI to manage your Hiveage invoices and payments.

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Create your Vinkius account to connect Hiveage 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 Hiveage with CrewAI

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Deploy specialized financial agents with this MCP Server

Track unpaid balances across your entire team using the `list_invoices` tool. One CrewAI agent focuses entirely on tracking unpaid invoices, while another agent handles customer relations by querying `get_customer_details`. This division of labor prevents a single agent from getting overwhelmed during complex billing cycles. The agents share context and hand off tasks, ensuring that payment collection and customer communication happen in perfect sync.

Automate invoice audits and payment matching

Match outstanding balances against transaction logs using the `list_invoice_payments` tool. An auditing agent in your CrewAI team pulls transaction logs and matches them against outstanding balances found in `get_invoice_details`. If a discrepancy is found, the agent drafts an update for the team. If the payment matches, it triggers the payment recording tool to keep your ledger accurate.

Draft and send billing communications autonomously

Identify active quotes inside your pipeline using the `list_estimates` tool. A billing agent in your CrewAI team pulls active quotes, while a writer agent drafts personalized follow-up emails. Once approved by your supervisor agent, the team invokes `send_invoice_email` to deliver the updated documents. This keeps your cash flow moving without requiring manual email drafting.

Setup guide

Set up Hiveage 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 Hiveage tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You can pass your Vinkius HTTP endpoint directly into the `mcps` array parameter when defining your CrewAI agent. This immediately exposes tools like `list_invoices` and `record_payment` to that specific agent's toolkit.

Yes. You can assign a billing agent to record payments using `record_payment`, and a customer service agent to send the updated invoice via `send_invoice_email` once the payment is confirmed.

Yes, by using `MCPServerHTTP` from the `crewai.mcp` package, you can apply a `tool_filter`. This lets you restrict your auditing agent to `list_invoices` while blocking it from using destructive or payment-recording tools.

CrewAI agents use shared memory to pass context. If one agent calls `get_invoice_details`, the resulting invoice data is available to other agents in the crew, allowing them to collaborate on payment matching.

Security is handled at the transport layer. Vinkius isolates all calls to `get_customer_details` and financial endpoints within a secure, short-lived sandbox, ensuring your private client records never leak between agent runs.

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