How to Use the freee MCP in CrewAI
Deploy an autonomous accounting crew for freee with CrewAI to manage your Japanese financials around the clock.
Works with every AI agent you already use
…and any MCP-compatible client
Connect freee MCP to CrewAI
Create your Vinkius account to connect freee 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.
Assemble an Autonomous Audit Crew
This server gives your CrewAI agents the tools to work as a team on your freee accounting. Assign a 'Junior Accountant' agent the task of pulling raw data with `list_deals` and `list_invoices`. Then, have a 'Senior Auditor' agent analyze that output, cross-reference it with `list_expenses`, and flag any issues. This division of labor lets you build a sophisticated, autonomous system for monitoring financial health. The crew shares context, so the auditor knows exactly what the junior agent retrieved, creating a clear and traceable workflow.
Delegate Financial Monitoring Tasks
Set up a crew to monitor your business operations 24/7. One agent can be tasked with periodically checking for new partners using `list_partners`. When it finds one, it delegates the job of fetching full details with `get_partner` to a second, specialized agent. CrewAI's hierarchical structure is perfect for this. A 'Manager' agent oversees the process, ensuring tasks are passed correctly and nothing gets dropped. It's a simple way to automate continuous monitoring and data enrichment for your freee account.
Your CrewAI Financial Operations MCP Server
Give your crew the financial tools they need to operate autonomously. With this MCP server, your agents can manage different parts of the business. One agent can handle accounts receivable using `list_invoices`, while another tracks cash flow with `list_walletables`. Because they all connect to the same MCP server, they have a shared, consistent view of your freee data. You just provide the server URL in your Agent's `mcps` configuration, and CrewAI handles the rest.
Set up freee 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 freee tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="freee Analyst",
goal="Access and analyze freee data via MCP.",
backstory="Expert analyst with direct freee access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent freee 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="freee Analyst",
goal="Access and analyze freee data via MCP.",
backstory="Expert analyst with direct freee access.",
tools=mcp_tools,
)
task = Task(
description="List recent freee 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 freee. 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 freee MCP in CrewAI
Use it with your favorite AI tools
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Start using the freee MCP today
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