Bilibili Live MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Bilibili Live through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"bilibili-live": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Bilibili Live, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Bilibili Live through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Bilibili Live MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Bilibili Live via MCP
Why Use LangChain with the Bilibili Live MCP Server
LangChain provides unique advantages when paired with Bilibili Live through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Bilibili Live MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Bilibili Live queries for multi-turn workflows
Bilibili Live + LangChain Use Cases
Practical scenarios where LangChain combined with the Bilibili Live MCP Server delivers measurable value.
RAG with live data: combine Bilibili Live tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Bilibili Live, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Bilibili Live tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Bilibili Live tool call, measure latency, and optimize your agent's performance
Bilibili Live MCP Tools for LangChain (10)
These 10 tools become available when you connect Bilibili Live to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Bilibili Live to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersBilibili Live + LangChain FAQ
Common questions about integrating Bilibili Live MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.