Bilibili Live MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Bilibili Live as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Bilibili Live. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Bilibili Live?"
)
print(response)
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.
LlamaIndex agents combine Bilibili Live tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Bilibili Live MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Bilibili Live
Why Use LlamaIndex with the Bilibili Live MCP Server
LlamaIndex provides unique advantages when paired with Bilibili Live through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Bilibili Live tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Bilibili Live tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Bilibili Live, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Bilibili Live tools were called, what data was returned, and how it influenced the final answer
Bilibili Live + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Bilibili Live MCP Server delivers measurable value.
Hybrid search: combine Bilibili Live real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Bilibili Live to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Bilibili Live for fresh data
Analytical workflows: chain Bilibili Live queries with LlamaIndex's data connectors to build multi-source analytical reports
Bilibili Live MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Bilibili Live to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Bilibili Live to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBilibili Live + LlamaIndex FAQ
Common questions about integrating Bilibili Live MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.