How to Use the Documint MCP in CrewAI
Scale document generation operations with CrewAI agents using specialized template management and auditing tools.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Documint MCP to CrewAI
Create your Vinkius account to connect Documint 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.
Collaborative Documint Tasks in CrewAI
Assign one agent to `search_documint_templates` and another to `create_new_generation`. This division of labor keeps your document operations moving fast. Use `get_template_variable_audit` to ensure the research agent sends clean data to the generation agent. It prevents common formatting errors.
Agent-Led Template Audits in CrewAI
Let your monitor agent run `get_template_configuration` to verify your library. It ensures your agents are always using the most current field requirements. Call `get_documint_account_metadata` to keep track of your team's usage. It helps you balance the workload across your crew.
Automated Auditing for CrewAI
Set a moderator agent to run `list_failed_doc_generations` every hour. It identifies issues immediately so your team can pivot before problems stack up. Use `get_generation_details` to verify successful outputs. Your agents can then log these URLs in your internal record systems.
Set up Documint 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 Documint tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Documint Analyst",
goal="Access and analyze Documint data via MCP.",
backstory="Expert analyst with direct Documint access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Documint 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="Documint Analyst",
goal="Access and analyze Documint data via MCP.",
backstory="Expert analyst with direct Documint access.",
tools=mcp_tools,
)
task = Task(
description="List recent Documint 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 Documint. 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 Documint MCP in CrewAI
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