How to Use the Epic Online Services & Social Analytics MCP in CrewAI
Deploy autonomous agent crews to monitor Epic Games leaderboards and analyze player social graphs using CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Epic Online Services & Social Analytics MCP to CrewAI
Create your Vinkius account to connect Epic Online Services & Social Analytics 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 leaderboard analysis
`get_game_leaderboard` feeds raw ranking data to a specialized Research Agent. This agent continuously monitors position changes and passes the deltas into the crew's shared memory. An Analyst Agent reads that memory and triggers `search_account_by_display_name` to identify rising players. The crew operates entirely on its own, building a competitive intelligence report while you sleep.
CrewAI social network mapping
`get_friend_list` and `get_player_presence` allow a dedicated Scouting Agent to map out who top players practice with. The agent checks if high-ranking accounts are currently in-game together. You can set up a Manager Agent to direct this process. If the Scouting Agent finds a cluster of pro players online, it escalates the finding to a Reporting Agent that alerts your Slack channel.
Autonomous moderation crews
`get_blocked_users` and `get_account_details` serve as the foundation for an automated trust and safety pipeline. A Monitoring Agent scans reported accounts and cross-references their block lists. You control exactly which agent gets which capability using the `tool_filter` in `MCPServerHTTP`. The investigation agent gets read-only access to player profiles, preventing scope creep during autonomous execution.
Set up Epic Online Services & Social Analytics 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 Epic Online Services & Social Analytics tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Epic Online Services & Social Analytics Analyst",
goal="Access and analyze Epic Online Services & Social Analytics data via MCP.",
backstory="Expert analyst with direct Epic Online Services & Social Analytics access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Epic Online Services & Social Analytics 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="Epic Online Services & Social Analytics Analyst",
goal="Access and analyze Epic Online Services & Social Analytics data via MCP.",
backstory="Expert analyst with direct Epic Online Services & Social Analytics access.",
tools=mcp_tools,
)
task = Task(
description="List recent Epic Online Services & Social Analytics 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 Epic Online Services. 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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Common questions about Epic Online Services & Social Analytics MCP in CrewAI
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