How to Use the FynCom MCP in CrewAI
Deploy a crew of autonomous agents using CrewAI to manage your FynCom reward campaigns and lead distribution.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FynCom MCP to CrewAI
Create your Vinkius account to connect FynCom 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 reward operations in CrewAI
Assign one agent to research user eligibility using `get_campaign_details` and another to execute payments with `send_reward`. They share memory to ensure no user gets double-paid. This specialization is the core of autonomous operations. You focus on the strategy while the crew handles the execution.
Autonomous lead processing for CrewAI
Use `add_reward_lead` to automatically register qualified prospects identified by your researcher agent. The crew manages the entire pipeline from identification to payment. It turns manual lead entry into a background process. Your data stays clean and updated in real-time.
Transaction auditing with CrewAI
Task a moderator agent with calling `list_reward_history` to monitor for anomalies. If the agent detects unusual activity, it can pause the campaign automatically. This protects your budget. You get a report of all actions taken by the crew at the end of every shift.
Set up FynCom 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 FynCom tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="FynCom Analyst",
goal="Access and analyze FynCom data via MCP.",
backstory="Expert analyst with direct FynCom access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent FynCom 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="FynCom Analyst",
goal="Access and analyze FynCom data via MCP.",
backstory="Expert analyst with direct FynCom access.",
tools=mcp_tools,
)
task = Task(
description="List recent FynCom 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 FynCom. 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.
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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60%
lower AI costs
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Common questions about FynCom MCP in CrewAI
Use it with your favorite AI tools
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