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  3. Bilibili MCP Js
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Bilibili MCP Js

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View Repository

A MCP server that supports searching for Bilibili content. Provides LangChain integration examples and test scripts.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for 34892002/bilibili-mcp-js, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives📂 More in Browser Automation

Documentation Overview

Bilibili MCP

English 中文文档 日本語 Trust Score

简介

这是一个基于 Model Context Protocol (MCP) 的 B站视频搜索服务器。该服务器提供了简单的 API 接口,允许用户搜索 B站 的视频内容。提供LangChain调用示例、测试脚本。

鸣谢

  • LangChain 示例代码参考自 mcp-langchain-ts-client

功能特点

  • 搜索B站视频内容简介列表
  • 获取B站热门内容(综合热门、入站必刷、排行榜、全站音乐榜)
  • 获取B站视频详情信息(支持BV号或AV号)
  • 获取UP主信息(基本信息、粉丝数、关注数等)
  • 番剧时间表(时间范围内的番剧播出信息)

系统要求

  • Node.js >= 20.12.0

AI工具使用配置

以Trae为例

npm package

感谢HQHC发布的npm包

config.json
{
  "mcpServers": {
    "bilibili-search": {
    "command": "npx",
    "args": ["bilibili-mcp-js"],
    "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。"
    }
  }
}

本地编译使用

需要编译之后才可以使用. 先npm run build然后这里改成你build之后的dist文件夹路径,"args": ["d:\your-path\bilibili-mcp-js\dist\index.js"]

config.json
{
  "mcpServers": {
    "bilibili-search": {
      "command": "node",
      "args": ["d:\\your-path\\bilibili-mcp-js\\dist\\index.js"],
      "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。"
    }
  }
}

快速开始

如果要运行langchain例子,请先配置llm模型,修改.\example.ts文件。

server.ts
const llm = new ChatOpenAI({
  modelName: "gpt-4o-mini",
  temperature: 0,
  openAIApiKey: "your_api_key", // 替换成你模型的密钥
  configuration: {
    baseURL: "https://www.api.com/v1", // 替换成你模型的API地址
  },
});

bun:

bash
# 安装依赖
bun i
# stdio 模式
bun index.ts
# streamable http 模式
TRANSPORT=remote bun index.ts
TRANSPORT=remote PORT=8888 bun index.ts
# 测试脚本
bun test.js
# MCP Inspector
bun run inspector
# 运行langchain例子
bun build:bun
bun example.ts

npm:

bash
# 安装依赖
npm i
# stdio 模式
npm run start
# streamable http 模式
TRANSPORT=remote npm run start
TRANSPORT=remote PORT=8888 npm run start
# 测试脚本
npm run test
# MCP Inspector
npm run inspector
# 运行langchain例子
npm run build
node dist/example.js

截图

Hosted deployment

A hosted deployment is available on Fronteir AI.

Read the full README →View source on GitHub →

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Frequently Asked Questions about Bilibili MCP Js

We don't have a confirmed install command for 34892002/bilibili-mcp-js yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/34892002/bilibili-mcp-js) for the current steps.

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Technical Specs & Signals

Category📂Browser Automation
More technical detailsExpand ▾
Last updatedSep 11, 2026
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28Quality signal: Emerging · 28/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools12/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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