MCP server
by wangshunnn
Connect with Bilibili to access user info, video details, and search seamlessly. Enjoy Bilibili TV features without leav
Access Bilibili video platform data directly in Claude. Retrieve user profiles, video details, and search results without leaving your chat interface.
Bilibili is a community-built MCP server published by wangshunnn that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect with Bilibili to access user info, video details, and search seamlessly. Enjoy Bilibili TV features without leav It is categorized under other. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.
You can install Bilibili in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Bilibili is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Strong directory entry: Bilibili surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Bilibili has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Bilibili benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Bilibili into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated Bilibili against two servers with overlapping tools; this profile had the clearer scope statement.
Bilibili is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Bilibili for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired Bilibili into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: Bilibili surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Bilibili is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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English | 简体中文
<a href="https://glama.ai/mcp/servers/@wangshunnn/bilibili-mcp-server"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@wangshunnn/bilibili-mcp-server/badge" alt="bilibili Server MCP server" /> </a>Model Context Protocol (MCP) Server for the bilibili.com API.
midbvidRefer to the official documentation
config for npm (recommended)
{
"mcpServers": {
"bilibili": {
"command": "npx",
"args": ["-y", "@wangshunnn/bilibili-mcp-server"]
}
}
}
or
config for local cloned repo
{
"mcpServers": {
"bilibili": {
"command": "node",
"args": [
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/bilibili-mcp-server/dist/index.js"
]
}
}
}
Save the configuration and restart. You will see the new bilibili MCP option as shown below:
https://github.com/user-attachments/assets/813dece6-c9b5-4bc5-96c1-c3b4d284cc76
pnpm i
pnpm build
# or
pnpm dev
To publish a new version to npm:
# For patch version update (0.0.x)
pnpm publish:patch
# For minor version update (0.x.0)
pnpm publish:minor
# For major version update (x.0.0)
pnpm publish:major
These commands will automatically:
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.