How to Use the Howspace MCP in CrewAI
Deploy a specialized crew of autonomous agents to manage your Howspace workshops.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Howspace MCP to CrewAI
Create your Vinkius account to connect Howspace 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.
Autonomous workshop orchestration with CrewAI
Assign a moderator agent to watch your sessions. Use `list_workspaces` to track activity and `get_workspace` to pull detailed engagement metrics. Your agents can identify inactive sessions and escalate them to human facilitators. It turns passive management into an active, automated process.
Role-based participant handling
Let your research agent find new users and your action agent register them. Use `add_participant` to handle the heavy lifting of enrollment. This separates the task of finding learners from the task of adding them. Each agent does its job without stepping on the others' toes.
Scale campaigns across your crew
Give your crew access to `list_campaigns` so they understand your broader learning goals. They can then create new environments using `create_workspace` as needed. Your agents stay aligned with your strategy. They act on your behalf, ensuring every campaign has the right workspaces ready to go.
Set up Howspace 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 Howspace tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Howspace Analyst",
goal="Access and analyze Howspace data via MCP.",
backstory="Expert analyst with direct Howspace access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Howspace 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="Howspace Analyst",
goal="Access and analyze Howspace data via MCP.",
backstory="Expert analyst with direct Howspace access.",
tools=mcp_tools,
)
task = Task(
description="List recent Howspace 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 Howspace. 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 Howspace MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Howspace MCP today
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