How to Use the Aidbase MCP in CrewAI
Deploy autonomous Aidbase support teams with CrewAI. Assign roles for monitoring, analysis, and responding to customer issues.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Aidbase MCP to CrewAI
Create your Vinkius account to connect Aidbase 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 a Knowledge Management Crew
This MCP Server allows you to build a team of agents to keep your knowledge base current. You can assign a 'Researcher' agent to find new information and a 'Writer' agent that uses `add_aidbase_faq_item` and `add_aidbase_website_knowledge` to add it to Aidbase. An 'Auditor' agent can periodically run `list_aidbase_knowledge` to get an inventory of all existing content and check for staleness. CrewAI manages the collaboration, creating a system that autonomously maintains your support documentation.
Run an Autonomous Support Desk
Deploy a full support team using CrewAI's multi-agent system. A 'Triage' agent can monitor for new messages using `list_aidbase_inboxes`. It then passes the ticket to an 'Analyst' agent, which uses `list_aidbase_chatbot_knowledge` to find answers. Finally, a 'Responder' agent takes the Analyst's findings and uses `send_aidbase_reply` to communicate with the customer. This creates a hands-off process for handling common support requests from start to finish.
Build a Proactive Monitoring Team
This MCP Server is not just for responding to customers; it's for monitoring the system itself. You can create a simple CrewAI team where one 'Operator' agent's only job is to call `check_aidbase_status` on a schedule. If the status is anything but operational, it triggers a 'Communicator' agent. That second agent can then take action, like using another tool to post a status update for your team. It's a simple way to build your own automated monitoring.
Set up Aidbase 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 Aidbase tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Aidbase Analyst",
goal="Access and analyze Aidbase data via MCP.",
backstory="Expert analyst with direct Aidbase access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Aidbase 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="Aidbase Analyst",
goal="Access and analyze Aidbase data via MCP.",
backstory="Expert analyst with direct Aidbase access.",
tools=mcp_tools,
)
task = Task(
description="List recent Aidbase 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 Aidbase. 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
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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.
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One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Aidbase MCP in CrewAI
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