How to Use the Bilibili Live MCP in LlamaIndex

Q: How do I load Bilibili Live tools into LlamaIndex?

Install llama-index-tools-mcp and instantiate the BasicMCPClient with the server URL. Wrap it in McpToolSpec to expose tools like getroominfo directly to your agent.

Q: Can LlamaIndex search through Bilibili Live chat logs?

Yes, by using getdanmuconfig to connect to the chat stream, your pipeline retrieves messages, passes them to your vector store, and indexes them for real-time semantic search.

Q: Does the Bilibili Live integration support LlamaIndex tool filtering?

Yes, you can use the allowedtools filter on the tool spec to restrict your agent's access. For instance, you can limit a read-only agent to getstreamerinfo while blocking write tools.

Q: How does the index stay updated during a live stream?

Your agent runs scheduled background tasks to poll getroomplayinfo and feeds new stream metadata into the index to keep the knowledge base fresh.

Index Bilibili Live stream data into LlamaIndex vector stores to build semantic search engines for your live broadcast history.

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Connect Bilibili Live MCP to LlamaIndex

Create your Vinkius account to connect Bilibili Live to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Bilibili Live with LlamaIndex

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Index Bilibili Live gift histories for RAG queries

This MCP Server exposes live Bilibili monetization data for LlamaIndex semantic indexing. Your LlamaIndex agent calls `get_gift_history` to pull recent virtual items, then converts this raw Bilibili data into searchable document nodes.

Build a searchable knowledge base of Bilibili Live guards

This MCP Server provides LlamaIndex direct access to high-value Bilibili viewer lists. LlamaIndex uses `get_guard_list` to fetch active Bilibili Captains and Admirals, turning raw JSON into queryable metadata.

Search past Bilibili Live super chats via LlamaIndex

This MCP Server feeds paid Bilibili broadcast messages directly into your LlamaIndex indexers. Your LlamaIndex agent extracts pinned messages using `get_super_chats` and stores them alongside Bilibili streamer data fetched from `get_streamer_info`.

Setup guide

Set up Bilibili Live MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Bilibili Live MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Bilibili Live tools.",
)
response = await agent.run("List recent Bilibili Live data")

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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.

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Common questions about Bilibili Live MCP in LlamaIndex

Install `llama-index-tools-mcp` and instantiate the `BasicMCPClient` with the server URL. Wrap it in `McpToolSpec` to expose tools like `get_room_info` directly to your agent.

Yes, by using `get_danmu_config` to connect to the chat stream, your pipeline retrieves messages, passes them to your vector store, and indexes them for real-time semantic search.

Yes, you can use the `allowed_tools` filter on the tool spec to restrict your agent's access. For instance, you can limit a read-only agent to `get_streamer_info` while blocking write tools.

Your agent runs scheduled background tasks to poll `get_room_play_info` and feeds new stream metadata into the index to keep the knowledge base fresh.

Vinkius executes the server in a zero-trust, ephemeral sandbox, ensuring that sensitive room configurations pulled by `get_room_info` are never persisted. Your indexing pipeline processes this data in memory, preventing unauthorized exposure of broadcast settings.

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