How to Use the 4D MCP in CrewAI
Deploy specialized agent crews to monitor and manage your 4D database using collaborative task execution.
Works with every AI agent you already use
…and any MCP-compatible client
Connect 4D MCP to CrewAI
Create your Vinkius account to connect 4D 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.
CrewAI agents managing 4D records
Assign a researcher agent to use `list_entities` for finding stale data. A second agent then triggers `delete_entity` to prune the database. Your crew shares memory to track which records require attention. They collaborate to ensure the database stays accurate.
Collaborative 4D updates in CrewAI
Let your monitor agent call `get_entity` to verify current values. If the data deviates from your baseline, a manager agent runs `update_entity`. This keeps your system state correct without constant human oversight. The agents pass the JSON payloads between them during the task flow.
Schema-aware CrewAI operations
Provide `get_catalog` access so your agents understand the database structure. They learn the field requirements before attempting to `create_entity`. Your crew operates with full visibility into the table definitions. It prevents malformed data from ever hitting your 4D instance.
Set up 4D 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 4D tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="4D Analyst",
goal="Access and analyze 4D data via MCP.",
backstory="Expert analyst with direct 4D access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent 4D 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="4D Analyst",
goal="Access and analyze 4D data via MCP.",
backstory="Expert analyst with direct 4D access.",
tools=mcp_tools,
)
task = Task(
description="List recent 4D 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 4D. 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 4D MCP in CrewAI
Use it with your favorite AI tools
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