How to Use the Documo MCP in CrewAI
Coordinate autonomous fax operations with CrewAI and this Documo MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Documo MCP to CrewAI
Create your Vinkius account to connect Documo 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.
Specialized CrewAI Fax Agents
Assign a monitor agent to watch `list_received_digital_faxes` constantly. When new documents arrive, it alerts the rest of your crew. This specialization lets one agent handle the intake while others process the content. It’s perfect for high-volume document pipelines.
Sequential Fax Processing in CrewAI
Use `get_fax_details` to pull data for your research agent. Once it has the metadata, the next agent in your CrewAI sequence can archive or route the file. This keeps your workflow linear and predictable. Each agent knows exactly what to do with the fax data provided.
Auditing Documo with CrewAI
Deploy an audit agent to run `quick_fax_volume_audit` periodically. It keeps a record of your transmission health and flags issues to your main supervisor agent. This gives your crew a memory of how the system is performing. It prevents small issues from becoming big problems.
Set up Documo 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 Documo tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Documo Analyst",
goal="Access and analyze Documo data via MCP.",
backstory="Expert analyst with direct Documo access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Documo 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="Documo Analyst",
goal="Access and analyze Documo data via MCP.",
backstory="Expert analyst with direct Documo access.",
tools=mcp_tools,
)
task = Task(
description="List recent Documo 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 Documo. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Documo MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Documo MCP today
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