How to Use the Alegra MCP in CrewAI
Deploy an autonomous crew of specialized CrewAI agents to manage your Alegra invoicing, tax reports, and client communication.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Alegra MCP to CrewAI
Create your Vinkius account to connect Alegra 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.
Multi-agent LatAm billing operations in CrewAI
Set up specialized agents to scan for unpaid bills using `list_invoices` while collaborating on your accounting tasks. You can set up an Auditor agent to find the records, while a Billing agent drafts the invoices. If a discrepancy pops up, the agents collaborate to check `get_invoice_details` and resolve the issue before notifying your team. This setup runs completely on autopilot without human intervention. By letting this MCP Server handle the communication with your accounting platform, your agents can focus on analyzing the data instead of formatting API payloads.
Automated vendor onboarding and verification
Let your agents run `list_contacts` to handle vendor relations and verify existing profiles from start to finish. A Researcher agent can pull new vendor details from incoming emails, while an Onboarding agent checks to see if they already exist in your system. If the vendor is new, the agent calls `create_contact` to set up their profile automatically. The agents share a common memory, meaning they won't repeat steps or create duplicate entries. They can also check `get_company_info` to ensure the tax IDs align with your local country requirements.
Autonomous inventory and sales auditing
Query your inventory catalog using `list_inventory_items` to ensure your sales pipeline matches your physical stock levels. An Auditor agent can run the check, while a Sales agent cross-references this with pending estimates. If an item is running low, the agent uses `get_item_details` to pull the supplier details and draft a restock order. This MCP Server keeps your sales team from selling items that are out of stock, protecting your customer relationships. The crew can run these audits on a schedule or trigger them based on specific events.
Set up Alegra MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Alegra tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Alegra Analyst",
goal="Access and analyze Alegra data via MCP.",
backstory="Expert analyst with direct Alegra access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Alegra transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="Alegra Analyst",
goal="Access and analyze Alegra data via MCP.",
backstory="Expert analyst with direct Alegra access.",
tools=mcp_tools,
)
task = Task(
description="List recent Alegra transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Alegra. 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 Alegra MCP in CrewAI
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