Bilibili Live MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Bilibili Live through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Bilibili Live Assistant",
instructions=(
"You help users interact with Bilibili Live. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Bilibili Live"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Bilibili Live MCP Server
Bolt the massive broadcasting ecosystem of Bilibili Live Open Platform into your intelligent workflows allowing comprehensive algorithmic polling of the largest Danmaku network globally without manual dashboards.
The OpenAI Agents SDK auto-discovers all 10 tools from Bilibili Live through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Bilibili Live, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Super-Chat Monitoring — Directly scan massive bullet-chat oceans isolating premium user contributions continuously updating without browser intervention
- VTuber Identity Linking — Fetch demographic metadata resolving numerical keys to official liver host profiles cleanly integrating esports tracking
- Audience Polling — Read heavy concurrency metrics gauging organic popularity of rooms isolating fake viewership bots
- Virtual Gifting Arrays — Unpack real-time financial donation ledgers tying precise value exchanges mapped to precise broadcast seconds
The Bilibili Live MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Bilibili Live to OpenAI Agents SDK via MCP
Follow these steps to integrate the Bilibili Live MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Bilibili Live
Why Use OpenAI Agents SDK with the Bilibili Live MCP Server
OpenAI Agents SDK provides unique advantages when paired with Bilibili Live through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Bilibili Live + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Bilibili Live MCP Server delivers measurable value.
Automated workflows: build agents that query Bilibili Live, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Bilibili Live, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Bilibili Live tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Bilibili Live to resolve tickets, look up records, and update statuses without human intervention
Bilibili Live MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Bilibili Live to OpenAI Agents SDK via MCP:
get_danmu_config
Get WebSockets configuration for Danmu (bullet chat)
get_fans_medal_info
Check a users fan medal level in the current room
get_gift_history
View recent virtual items gifted in the room
get_guard_list
Get a list of active "Guards" (Captains/Admirals) in the room
get_room_info
Start the app connection and get high-level room config
get_room_play_info
Get stream playback URLs and live status
get_streamer_info
Retrieve the broadcasters public account details
get_super_chats
Extract actively purchased Super Chats
send_danmu
Send a message into the broadcast as the developer account
update_room_title
Change the streamers live room title
Example Prompts for Bilibili Live in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Bilibili Live immediately.
"Fetch the raw user engagement metric from Bilibili room '51923' quickly."
"Summarize the metadata tied directly to backend ID of host 892019."
"Retrieve the top 10 richest super-chat donations logged actively over the current cycle."
Troubleshooting Bilibili Live MCP Server with OpenAI Agents SDK
Common issues when connecting Bilibili Live to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Bilibili Live + OpenAI Agents SDK FAQ
Common questions about integrating Bilibili Live MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Bilibili Live with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Bilibili Live to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.