Can I check the payment status of an invoice using the agent?

Yes! Use the `get_invoice` tool with the Invoice ID. Your agent will fetch the latest status, showing if it is draft, issued, or paid.

How do I list all my customers in Bexio?

Simply ask the agent to `list_contacts`. It will retrieve the directory of all companies and persons registered in your Bexio account.

Does the integration allow me to create a new invoice?

Currently, the toolset is focused on querying and management (listing contacts, checking projects, auditing invoices). For creating complex financial documents like invoices with multiple line items, we recommend using the Bexio platform directly.

Bexio MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Bexio
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Bexio through the Vinkius — pass the Edge URL in the `mcps` parameter and every Bexio 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="Bexio Specialist",
    goal="Help users interact with Bexio effectively",
    backstory=(
        "You are an expert at leveraging Bexio 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 Bexio "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 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 Bexio MCP Server

Connect your Bexio account to any AI agent and orchestrate your business workflows, including CRM, accounting, and project management, through natural conversation.

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

What you can do

Contact Management — List, create, and retrieve detailed information for customers, suppliers, and partners.
Invoicing & Sales — Query invoices, offers, and orders to stay on top of your sales pipeline and receivables.
Project Oversight — List all business projects and monitor their status and progress.
Inventory & Items — Access your product catalog and list items with pricing and stock metadata.
Team Collaboration — Retrieve lists of users within your Bexio organization for better task coordination.

The Bexio MCP Server exposes 10 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 Bexio to CrewAI via MCP

Follow these steps to integrate the Bexio 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 10 tools from Bexio

Why Use CrewAI with the Bexio MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Bexio 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 the 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

Bexio + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Bexio 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 Bexio, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Bexio 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 Bexio against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Bexio MCP Tools for CrewAI (10)

These 10 tools become available when you connect Bexio to CrewAI via MCP:

create_contact

Create a new contact

get_contact

Get specific contact details

get_invoice

Get specific invoice details

list_contacts

List all contacts

list_invoices

List all invoices

list_items

List all products/items

list_offers

List all offers

list_orders

List all orders

list_projects

List all projects

list_users

List all Bexio users

Example Prompts for Bexio in CrewAI

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

"List all active projects in Bexio."

"Find the contact details for 'Acme Corp'."

"Show my last 5 invoices."

Troubleshooting Bexio MCP Server with CrewAI

Common issues when connecting Bexio 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

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

Bexio + CrewAI FAQ

Common questions about integrating Bexio 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.