34892002/bilibili-mcp-js
by Various
Bilibili video search MCP (Model Context Protocol) service - 哔哩哔哩视频搜索MCP服务
MCP
34892002/bilibili-mcp-js
Added 1 June 2026
Overview
An open-source JavaScript service that implements the Model Context Protocol (MCP) for searching Bilibili videos. It exposes a standardized interface that AI models or MCP-compatible clients can query to retrieve Bilibili video results. The project has 171 GitHub stars and is maintained by various contributors.
Best for
Best for
Developers building AI agents or chatbots that need to search Chinese video content from Bilibili
Use cases
- Integrate Bilibili video search into an AI assistant via MCP
- Build a custom search tool for Bilibili content in MCP workflows
- Add Bilibili search capabilities to an existing MCP-compatible agent
How to use
Install
bun i Example client config
{\n "mcpServers": {\n "bilibili-search": {\n "command": "npx",\n "args": ["bilibili-mcp-js"],\n "description": "B站视频搜索 MCP 服务,可以在AI应用中搜索B站视频内容。"\n }\n }\n} Notes
An open-source JavaScript service that implements the Model Context Protocol (MCP) for searching Bilibili videos. It exposes a standardized interface that AI models or MCP-compatible clients can query to retrieve Bilibili video results. The project has 171 GitHub stars and is maintained by various contributors.
171 stars on GitHub. Last updated 2026-03-30. Licensed MIT.
Use cases
- Integrate Bilibili video search into an AI assistant via MCP
- Build a custom search tool for Bilibili content in MCP workflows
- Add Bilibili search capabilities to an existing MCP-compatible agent
Pros
- Follows the MCP standard for easy integration with AI models
- Written in JavaScript, widely accessible for Node.js developers
- Open source with a growing community (171 stars)
Cons
- Limited to Bilibili platform only, no multi-source search
- Dependent on the MCP ecosystem and client support
- Not an official Bilibili API wrapper; reliability tied to third-party maintenance
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Follows the MCP standard for easy integration with AI models
- Written in JavaScript, widely accessible for Node.js developers
- Open source with a growing community (171 stars)
Cons
- Limited to Bilibili platform only, no multi-source search
- Dependent on the MCP ecosystem and client support
- Not an official Bilibili API wrapper; reliability tied to third-party maintenance
Pairs with
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