How to Use the Bilibili Live MCP in CrewAI
Deploy a CrewAI team to monitor and moderate your Bilibili Live broadcast automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Bilibili Live MCP to CrewAI
Create your Vinkius account to connect Bilibili Live 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 Bilibili Live monitoring
Assign a researcher agent to watch `get_danmu_config` and `get_super_chats`. The team stays updated on every event in the room. Your agents share memory, so if one agent spots a new gift, the moderator agent can thank the user immediately.
Multi-agent broadcast moderation
Use `send_danmu` and `update_room_title` as actions for your moderator agents. They can react to chat trends without your input. This allows your crew to manage the tone of the room. They handle repetitive tasks while you focus on the actual broadcast.
Audience management with CrewAI
Identify loyal viewers by checking `get_guard_list` and `get_fans_medal_info`. Your crew can highlight these users during the stream. This adds a layer of intelligence to your social interaction. Your agents know exactly who your top supporters are and treat them accordingly.
Set up Bilibili Live 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 Bilibili Live tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Bilibili Live Analyst",
goal="Access and analyze Bilibili Live data via MCP.",
backstory="Expert analyst with direct Bilibili Live access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Bilibili Live 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="Bilibili Live Analyst",
goal="Access and analyze Bilibili Live data via MCP.",
backstory="Expert analyst with direct Bilibili Live access.",
tools=mcp_tools,
)
task = Task(
description="List recent Bilibili Live 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 Bilibili Live. 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 Bilibili Live MCP in CrewAI
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