How do I find my Hiveage API Key?

Log in to your Hiveage account, go to **Settings > API**, and you will find your unique API key there. This key is used as the username for Basic Authentication.

What is the Hiveage 'Subdomain'?

The subdomain is the unique part of your Hiveage URL (e.g., if you access Hiveage at `mycompany.hiveage.com`, your subdomain is `mycompany`).

Can I record a partial payment for an invoice?

Yes! When using the `record_payment` tool, you can specify any amount in the `body_json`. Hiveage will automatically update the invoice balance based on the recorded payment.

Is the integration secure for financial data?

Absolutely. The integration uses official Hiveage API keys over HTTPS. Your credentials and billing data are encrypted and stored securely within the Vinkius Cloud infrastructure.

Hiveage MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: Hiveage
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Hiveage through Vinkius, pass the Edge URL in the `mcps` parameter and every Hiveage tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Hiveage Specialist",
    goal="Help users interact with Hiveage effectively",
    backstory=(
        "You are an expert at leveraging Hiveage tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Hiveage "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Hiveage MCP Server

Connect your Hiveage account to any AI agent and take full control of your online invoicing, estimates, and customer network through natural conversation.

When paired with CrewAI, Hiveage becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Hiveage tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Invoicing Oversight — List all invoices, retrieve detailed billing data using unique hash keys, and monitor payment status.
Estimate Management — Access your quotations and estimates history to stay on top of pending deals.
Payment Recording — Manually record payments against invoices directly from the chat interface.
Customer Network — List and inspect connections (customers/vendors) in your business network.
Document Delivery — Send invoices to your customers via email with a single command.
Tax & Item Visibility — List saved billing items and tax profiles to ensure accurate invoicing.

The Hiveage MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Hiveage to CrewAI via MCP

Follow these steps to integrate the Hiveage MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Hiveage

Why Use CrewAI with the Hiveage MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Hiveage through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Hiveage + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Hiveage MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Hiveage for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Hiveage, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Hiveage tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Hiveage against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Hiveage MCP Tools for CrewAI (12)

These 12 tools become available when you connect Hiveage to CrewAI via MCP:

get_api_profile

Retrieve information about the authenticated account

get_customer_details

Get detailed profile information for a network connection

get_estimate_details

Get detailed information about a specific estimate

get_invoice_details

Get detailed information about a specific invoice

list_billing_items

List saved items and services used for invoicing

list_customers

List all connections (customers/vendors) in your network

list_estimates

List all estimates (quotations) in Hiveage

list_invoice_payments

List all payments recorded for a specific invoice

list_invoices

Use this to monitor billing and find hash keys for specific invoice actions. List all invoices in your Hiveage account

list_tax_profiles

List all configured tax profiles

record_payment

Pass details as a JSON string in "body_json" (requires amount, date, and payment_method). Record a manual payment against an invoice

send_invoice_email

Deliver an invoice to the customer via email

Example Prompts for Hiveage in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Hiveage immediately.

"List all unpaid invoices and their total amounts."

"Record a cash payment of $500 for invoice hash 'kiLDAgtGzNpaAQ'."

"Show me the details for the estimate with key 'ests_992'."

Troubleshooting Hiveage MCP Server with CrewAI

Common issues when connecting Hiveage to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Hiveage + CrewAI FAQ

Common questions about integrating Hiveage MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.