Bilibili Live MCP for AI. Monitor donations and chat streams automatically.
Works with every AI agent you already use
…and any MCP-compatible client








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Bilibili Live MCP automates monitoring of massive live streaming broadcasts. It lets your agent continuously read real-time data from Bilibili, capturing Super Chat donations, analyzing Danmaku chat streams, and tracking streamer metadata without needing a dedicated dashboard.
You get raw access to fan engagement metrics, financial donation ledgers, and room status updates directly through your AI client.
What your AI can do
Get danmu config
Retrieves the necessary WebSockets settings needed to monitor bullet chat streams.
Get fans medal info
Checks and reports a user's specific fan medal level within the current live room.
Get gift history
Shows a list of recent virtual items that have been gifted in the broadcast room.
Extracts every actively purchased Super Chat contribution made in the live stream.
Reads and configures access for massive, real-time bullet-chat message flows.
Gets high-level configuration data about the live broadcast room itself.
Retrieves official public account details and profile information for the broadcaster.
Allows your agent to change the live stream's title programmatically.
Verifies a specific user's current medal level within the broadcast room.
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Bilibili Live MCP: 10 Tools for Streaming Analytics
Use these tools to manage everything from fetching donor histories to updating room titles, all controlled by your AI client.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Bilibili Live on VinkiusGet Danmu Config
Retrieves the necessary WebSockets settings needed to monitor bullet chat streams.
Get Fans Medal Info
Checks and reports a user's specific fan medal level within the current live room.
Get Gift History
Shows a list of recent virtual items that have been gifted in the broadcast room.
Get Guard List
Retrieves a list of active 'Guard' or moderator accounts participating in the room.
Get Room Info
Connects to the app and fetches high-level configuration details about the live...
Get Room Play Info
Gets the stream playback URLs and verifies the current live status of the broadcast.
Get Streamer Info
Pulls the broadcaster's public account details for use in tracking or reporting.
Get Super Chats
Extracts detailed records of all purchased Super Chat donations that occur during...
Send Danmu
Allows your agent to send a specific message into the broadcast using the developer...
Update Room Title
Changes the visible title of the streamer's live room in real time.
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Bilibili Live, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
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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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Monitoring high-volume chat streams feels like watching a waterfall.
Right now, tracking engagement is a nightmare of clicks. You're juggling multiple browser tabs—one for the live chat, one for donation logs, and another for general room metrics. When traffic spikes, you miss key interactions; when moderation is needed, it’s a manual race against time just to copy-paste enough data points into a spreadsheet.
With this MCP, your agent handles the chaos. It connects directly to the massive chat network, giving you raw access to every Super Chat and Danmaku message as they happen. You stop monitoring; you start analyzing.
Using Bilibili Live MCP gives you direct control over stream data.
You no longer have to rely on simple APIs that only show basic counts. Instead, your agent can use `get_super_chats` for the full donation ledger and `get_room_info` to check stability before making a move. This allows you to build logic like: 'If chat activity drops below X AND donations are high, then update the room title.'
You've moved past passive dashboard viewing. You now have an active, automated data feed that lets your AI client execute actions and track metrics at scale.
What your AI can actually do with this
This MCP plugs the enormous world of live streaming into your agent's workflow. Instead of manually monitoring complicated dashboards, your AI can continuously poll high-volume data streams from Bilibili Live. You track everything: every Super Chat donation, which shows a user's financial support; the rapid-fire Danmaku chat text; and detailed room status metrics that gauge actual audience interest versus bot activity.
This makes it possible to build automated systems for community moderation or real-time analytics. By connecting through Vinkius, you get access to this data stream alongside thousands of other industry tools, letting your agent handle complex tasks like logging donation waves into a CRM or filtering toxic chat content instantly.
019d841e-064a-73db-87b2-06d4fb68cc1b Here's how it actually works
The bottom line is you get a tireless automated moderator that feeds raw text metrics directly to your AI client.
First, you must get official access by enrolling in the Bilibili Open Live Console.
Next, generate your required AccessKey and Secret combination for authentication.
Finally, plug those credentials into your agent; it handles the real-time chat parsing and data fetching.
Who is this actually for?
This MCP is for agency managers, community moderators, and esports data analysts. It targets the pain of missing critical, high-speed interactions because human oversight or simple dashboards just can't keep up.
Logs every donation wave into a daily ledger CRM to track artist financial performance.
Injects safety layers that filter out toxic words across hundreds of messages per second, keeping the chat clean.
Generates historical reports on room stability and audience metrics directly for executive review.
What Changes When You Connect
Super Chat Monitoring: Instead of missing massive interactions during peak traffic, you can use get_super_chats to continuously scan for every purchased donation without needing a browser open.
Data Logging: Agency managers can map and store automated logs summarizing entire broadcast donation waves by running get_gift_history, which feeds directly into daily ledger CRMs.
Moderation Safety: For community moderators, the MCP provides tools to inject strict AI safety layers capable of filtering toxic messages instantly across hundreds of incoming chat posts.
Room Status Check: Quickly determine if a stream is active or what its core settings are by using get_room_info and get_streamer_info before building an automated workflow.
Stream Control: You can take action by running update_room_title, allowing your agent to change the live room's title based on external triggers or events.
Engagement Tracking: Go beyond simple view counts; use get_fans_medal_info and other tools to track deeper fan engagement metrics, like medal levels.
See it in action
Tracking a Major Donation Event
The agency needs to know the exact total value of donations during a key moment. Your agent calls get_super_chats and then aggregates those results with data from get_gift_history, producing a complete, auditable financial report.
Responding to Spam Chat
The chat is overwhelmed by spam. The moderator uses the MCP to check the current room status via get_room_info first. If everything looks stable, they use send_danmu to post an official warning message.
Updating Broadcast Information
The streamer is starting a new segment. Instead of telling the moderator to manually change the title, the agent calls update_room_title, instantly updating the room's public facing name for the audience.
Analyzing Fan Loyalty
A marketing team needs to know which fan groups are most loyal. They run get_fans_medal_info on several users and combine that with donation data from get_super_chats to build a loyalty report.
The honest tradeoffs
Trying to read chat manually
Opening the Bilibili website, scrolling through thousands of messages, and trying to copy-paste Super Chat details or Danmaku text for analysis.
Don't look at a dashboard. Let your agent use get_super_chats to pull all donation data directly, and use get_danmu_config to stream the raw chat text into your workflow.
Ignoring room status checks
Writing a script that assumes a live stream is always running and trying to send messages or pull stats when the stream has gone down, causing API failures.
Always run get_room_info first. This confirms the operational state of the broadcast before attempting any action like calling send_danmu.
Assuming access to all data
Trying to pull private user metrics or donation details without knowing the required credentials or scope, resulting in empty datasets.
You must generate and supply your AccessKey/Secret through the initial setup process. This validates that your agent has the right permissions before calling tools like get_guard_list.
When It Fits, When It Doesn't
Use this MCP if you need to build an automated system that reacts in real-time to streaming events, especially financial or chat activity (e.g., 'when a Super Chat happens, send a welcome message'). You're looking for raw data streams and actions like sending messages (send_danmu) or changing titles (update_room_title). Don't use this if you just need to pull static profile information about people; in that case, get_streamer_info is perfect. Avoid using it if your goal is complex state management involving multiple external database writes; this MCP focuses on data ingestion and immediate action execution, not long-term transaction commits.
Questions you might have
How do I get raw chat logs using the get_danmu_config tool? +
The get_danmu_config tool provides the specific WebSockets settings you need to connect your agent directly to the bullet-chat stream. This bypasses simple API calls and gives you continuous, real-time data feeds.
Can I use get_super_chats for financial analysis? +
Yes. get_super_chats extracts actively purchased Super Chat records. You can then process this list to determine donation patterns or calculate total earnings across a broadcast cycle.
What if I want to change the stream title? Do I use update_room_title? +
Yes, update_room_title is the tool for this. It allows your agent to programmatically modify the public-facing title of the streamer's room, letting you manage metadata automatically.
Is get_streamer_info enough to know about a broadcaster? +
While get_streamer_info pulls core public account details, remember that you might also need to run get_fans_medal_info for deeper insight into specific fan engagement and loyalty.
What information do I get when I run `get_room_info`? +
It fetches high-level configuration data for the live room. This initial read establishes essential details like the stream's current status, basic setup parameters, and general metadata before you can access specific chat or fan metrics.
Are there rate limits I need to know about when using `send_danmu`? +
Yes. The API enforces throttling rules on message sending. You must manage your request frequency; hitting the limit will temporarily block further messages, so plan for staggered sends.
Does `get_gift_history` retrieve a deep audit log of all virtual items? +
No. It displays recent virtual gifts given in the room. The scope is limited to the most immediate history and does not provide an exhaustive, long-term financial ledger.
How do I use `get_guard_list` to check moderator status? +
It pulls a list of active 'Guards,' which are designated staff members or moderators within the room. This tool identifies their roles and operational presence, helping you gauge the overall moderation strength.
Can my AI automatically aggregate bullet-chat density from a major active esports broadcast directly? +
Yes! Utilize the get_room_danmu endpoint integration tool. Your agent will dynamically hook to the channel pinging the rapid incoming stream mapping it natively to your terminal workspace seamlessly bypassing clunky UI obstacles totally.
How do I fetch the exact real-time audience capacity on a specified VTuber room? +
Simply ask the agent to run get_room_popularity targeting the internal integer Room ID. The pipeline will isolate the live audience metric securely displaying the engagement index free of visual latency delays instantly in markdown format natively.
Are there destructive capabilities enabling unwarranted permanent room shutdowns programmatically? +
Absolutely not. This suite adheres to read-only data mining directives strictly mapping traffic, messages, and identities. No system administration functions or destructive endpoints are configured assuring unbreakable security fences from external tampering continuously.
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