How to Use the Flodesk MCP in CrewAI
Orchestrate autonomous CrewAI squads to manage Flodesk subscribers and segments without lifting a finger.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Flodesk MCP to CrewAI
Create your Vinkius account to connect Flodesk 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.
Multi-agent Flodesk audience auditing with CrewAI
The `list_subscribers` tool gives your CrewAI agent squad full visibility into your mailing list to run autonomous clean-up routines. One agent can pull the raw list while a specialized analyst agent scans for formatting errors or outdated custom fields. This collaborative MCP loop keeps your database clean without you having to export CSV files or write custom scripts. When issues are found, a moderator agent uses `upsert_subscriber` to fix the records in bulk.
Autonomous campaign routing
The `list_workflows` tool allows your agent team to coordinate email marketing campaigns based on real-time business metrics. An analyst agent checks your active sequences while a strategist agent determines which subscribers are ready for escalation. The execution agent then calls `add_subscriber_to_workflow` to enroll the target users. This multi-step process ensures that subscribers only receive emails that match their current stage in the customer journey.
Dynamic segment management
The `create_segment` tool lets your agent squad build highly targeted lists for seasonal promotions or product updates. The research agent identifies subscriber trends, and the operational agent creates the new group instantly. Once created, the crew uses `add_subscriber_to_segment` to populate the list with the correct profiles. This automated targeting ensures your marketing emails hit the right inbox every single time.
Set up Flodesk 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 Flodesk tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Flodesk Analyst",
goal="Access and analyze Flodesk data via MCP.",
backstory="Expert analyst with direct Flodesk access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Flodesk 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="Flodesk Analyst",
goal="Access and analyze Flodesk data via MCP.",
backstory="Expert analyst with direct Flodesk access.",
tools=mcp_tools,
)
task = Task(
description="List recent Flodesk 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 Flodesk. 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 Flodesk MCP in CrewAI
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