Bilibili▌

by wangshunnn
Connect with Bilibili to access user info, video details, and search seamlessly. Enjoy Bilibili TV features without leav
Integrates with Bilibili video platform to retrieve user information, video details, and perform searches without switching contexts.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Content creators researching Bilibili videos
- / Analyzing Chinese video content and creators
- / Quick video fact-checking and verification
capabilities
- / Get user information by user ID
- / Retrieve detailed video information by video ID
- / Search for videos by keywords
- / Access video metadata and statistics
what it does
Access Bilibili video platform data directly in Claude. Retrieve user profiles, video details, and search results without leaving your chat interface.
about
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.
how to install
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.
license
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.
readme
bilibili MCP Server
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.
Features
User Info
- Get user information by
mid - Search video information by
bvid - Search videos by keywords
Usage
Claude Desktop
Refer 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:
Demo Vedio
https://github.com/user-attachments/assets/813dece6-c9b5-4bc5-96c1-c3b4d284cc76
Local Development
- Install dependencies
pnpm i
- build
pnpm build
# or
pnpm dev
- debug for local repo, see above.
Publishing
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:
- Bump the version in package.json
- Build the project
- Publish to npm registry
Credits
FAQ
- What is the Bilibili MCP server?
- Bilibili is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Bilibili?
- This profile displays 34 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★34 reviews- ★★★★★Chaitanya Patil· Dec 12, 2024
Strong directory entry: Bilibili surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Piyush G· Nov 3, 2024
Bilibili has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Shikha Mishra· Oct 22, 2024
According to our notes, Bilibili benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Yash Thakker· Sep 13, 2024
We wired Bilibili into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Sophia Gonzalez· Sep 13, 2024
We evaluated Bilibili against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Aisha Johnson· Sep 5, 2024
Bilibili is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Meera Jain· Sep 5, 2024
I recommend Bilibili for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Daniel Shah· Aug 24, 2024
We wired Bilibili into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Kiara Torres· Aug 24, 2024
Strong directory entry: Bilibili surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Aug 4, 2024
Bilibili is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
showing 1-10 of 34