How to Use the Basecamp MCP in CrewAI
Deploy a collaborative CrewAI team to monitor Basecamp chat rooms, track to-dos, and update project boards autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Basecamp MCP to CrewAI
Create your Vinkius account to connect Basecamp 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 Basecamp Project Analysis
The `list_projects` tool pulls the list of active workspaces in your Basecamp account. In your CrewAI setup, a researcher agent uses this tool to identify active boards, while an analyst agent evaluates project health. These agents share context using CrewAI's memory features. When the researcher finds a project, the analyst immediately triggers `get_project` to inspect its specific details without manual hand-offs.
Multi-Agent To-Do Tracking with CrewAI
The `list_todos` tool reads the tasks inside a specific Basecamp list. Your CrewAI team assigns one agent to monitor overdue tasks and another agent to draft follow-up messages on the board. By using this MCP Server, your agents coordinate actions autonomously. The monitoring agent finds late tasks using `list_todolists` and passes them to the writer agent to alert the team.
Automated Chat Moderation and Escalation
The `list_campfire_lines` tool retrieves recent chat logs from your project Campfire. A CrewAI moderator agent scans these lines for urgent support requests or system alerts. If an alert is found, the moderator agent coordinates with a responder agent to fetch relevant message boards using `list_messages` and post an update. This entire escalation loop runs without human intervention.
Set up Basecamp 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 Basecamp tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Basecamp Analyst",
goal="Access and analyze Basecamp data via MCP.",
backstory="Expert analyst with direct Basecamp access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Basecamp 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="Basecamp Analyst",
goal="Access and analyze Basecamp data via MCP.",
backstory="Expert analyst with direct Basecamp access.",
tools=mcp_tools,
)
task = Task(
description="List recent Basecamp 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 Basecamp. 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 Basecamp MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Basecamp MCP today
We host it, we monitor it, we maintain it. You just paste one token.