bilibili MCP Server Integration

What does “bilibili” MCP Server do?

The bilibili MCP Server is a Model Context Protocol (MCP) server designed to connect AI assistants and applications with the bilibili.com API. By serving as a bridge, it enables AI-powered workflows to access and retrieve information from bilibili, such as user profiles, video metadata, and search results. This integration enhances the capabilities of AI assistants for tasks involving video content discovery, user data retrieval, and content analysis. Developers can leverage this server to automate and streamline workflows that require interaction with bilibili’s vast content ecosystem, making it easier to incorporate up-to-date video and user information into various applications or research projects.

List of Prompts

No prompt templates are explicitly mentioned in the available documentation or code.

List of Resources

No explicit resource primitives are listed in the available documentation or code.

List of Tools

• Get user information by mid
  Retrieves detailed information about a bilibili user given their user ID (mid).
• Search video information by bvid
  Fetches metadata and details for a specific bilibili video using its unique bvid.
• Search videos by keywords
  Allows searching bilibili for videos that match specific keywords, returning a list of relevant results.

Use Cases of this MCP Server

• User Data Retrieval
  Automate the process of fetching information about particular bilibili users based on their user IDs, useful for social media analytics and research.
• Video Metadata Extraction
  Quickly obtain detailed video metadata by providing a bvid, streamlining workflows for content curation or analysis.
• Content Discovery
  Search for videos by keywords, enabling AI assistants to find relevant content for recommendations, summaries, or further processing.
• Automated Monitoring
  Integrate the MCP server into monitoring tools to track specific users or types of content on bilibili in real time.
• Data Enrichment for Applications
  Enrich internal applications or bots with up-to-date bilibili information to enhance user experiences or support research.

How to set it up

Windsurf

1. Ensure you have Node.js installed.
2. Open your Windsurf configuration file.
3. Add the bilibili MCP server using the npm package:

   {
     "mcpServers": {
       "bilibili": {
         "command": "npx",
         "args": ["-y", "@wangshunnn/bilibili-mcp-server"]
       }
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify that the bilibili MCP server appears in your MCP options.

Claude

1. Ensure Node.js is installed.
2. Open the Claude configuration file.
3. Add the bilibili MCP server with:

   {
     "mcpServers": {
       "bilibili": {
         "command": "npx",
         "args": ["-y", "@wangshunnn/bilibili-mcp-server"]
       }
     }
   }
   

4. Save and restart Claude.
5. Confirm the “bilibili MCP” option appears in the interface.

Cursor

1. Make sure Node.js is set up.
2. Edit the Cursor configuration file.
3. Insert the following MCP server entry:

   {
     "mcpServers": {
       "bilibili": {
         "command": "npx",
         "args": ["-y", "@wangshunnn/bilibili-mcp-server"]
       }
     }
   }
   

4. Save and restart Cursor.
5. Check for the new bilibili MCP listing.

Cline

1. Verify Node.js is installed.
2. Access the Cline configuration file.
3. Add the bilibili MCP server configuration:

   {
     "mcpServers": {
       "bilibili": {
         "command": "npx",
         "args": ["-y", "@wangshunnn/bilibili-mcp-server"]
       }
     }
   }
   

4. Save the changes and restart Cline.
5. Confirm the MCP server is recognized.

Securing API Keys

If the bilibili API requires authentication, use environment variables for sensitive keys. Here is an example configuration:

{
  "mcpServers": {
    "bilibili": {
      "command": "npx",
      "args": ["-y", "@wangshunnn/bilibili-mcp-server"],
      "env": {
        "BILIBILI_API_KEY": "${BILIBILI_API_KEY}"
      },
      "inputs": {
        "apiKey": "${BILIBILI_API_KEY}"
      }
    }
  }
}

Replace "BILIBILI_API_KEY" with your actual environment variable name.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "bilibili": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “bilibili” to the actual name of your MCP server and replace the URL with your own MCP server URL.

Overview

Based on the available documentation and server features, the bilibili MCP Server provides essential tools for interaction with the bilibili API but lacks detailed documentation on resources, prompts, and advanced MCP features such as roots and sampling. Its integration instructions are clear and it is open source with a permissive license. Rating: 5/10.

MCP Score