How to Use the Froged MCP in CrewAI
Deploy a CrewAI team to manage Froged. One agent monitors, another responds, and a third analyzes customer behavior.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Froged MCP to CrewAI
Create your Vinkius account to connect Froged 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 an autonomous support crew
This MCP server gives your agents the tools to work as a team. Create a 'Monitor' agent that constantly calls `list_support_conversations`. When it finds a new ticket, it passes the ID to a 'Triage' agent. The Triage agent uses `get_contact_details` to check the customer's status and `get_chat_details` to read the history. It then delegates the task to a 'Responder' agent, which uses `send_chat_message` to reply. It's a full support pipeline, automated.
Run a proactive onboarding team
Delegate customer onboarding to a specialized crew. An 'Auditor' agent can use `list_cs_contacts` to find users without an 'onboarded' tag. It then assigns the contact to an 'Onboarding Specialist' agent. That specialist agent uses `upsert_contact` to tag the user, finds a relevant guide with `list_kb_articles`, and sends a personalized welcome using `send_chat_message`. Each agent has one job, and the crew gets it done.
Deploy a CrewAI team for marketing analysis
Let your agents figure out what's working. A 'Campaign' agent calls `list_marketing_campaigns` to find active promotions. It passes the campaign list to an 'Analyst' agent. The Analyst agent then correlates those campaigns with user actions by calling `list_behavioral_events`. Finally, it tasks a 'Writer' agent to summarize the findings. This is how you automate business intelligence.
Set up Froged 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 Froged tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Froged Analyst",
goal="Access and analyze Froged data via MCP.",
backstory="Expert analyst with direct Froged access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Froged 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="Froged Analyst",
goal="Access and analyze Froged data via MCP.",
backstory="Expert analyst with direct Froged access.",
tools=mcp_tools,
)
task = Task(
description="List recent Froged 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 Froged. 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 Froged MCP in CrewAI
Use it with your favorite AI tools
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Start using the Froged MCP today
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