adoresever

adoresever / bilibili-mcp

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B站 MCP Server - 支持搜索/评论/字幕/弹幕/回复

27
2
100% credibility
Found Mar 09, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This repository creates a bridge for AI assistants to perform actions on Bilibili like logging in, searching content, analyzing data, posting updates, and uploading videos.

How It Works

1
🕵️ Discover Bilibili Helper

You find a handy tool that lets your AI assistant manage your Bilibili account like searching videos and posting updates.

2
🔗 Connect to Your AI

Paste the project's web link into your AI chat window, and it connects with one simple step.

3
📱 Scan to Login

Tell your AI 'login to Bilibili,' and it shows a QR code on screen – just scan it with your phone app to sign in securely.

4
🔍 Explore Bilibili Content

Ask your AI to search for hot videos, fetch comments, subtitles, or trends, and get neat summaries right away.

5
🚀 Post and Upload Easily

Instruct your AI to share photo updates, upload videos with titles and tags, or reply to fans – it handles everything smoothly.

🎉 AI Runs Your Bilibili

Now your AI takes care of searching, creating, and interacting on Bilibili, freeing you to focus on fun while it grows your presence.

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Star Growth

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AI-Generated Review

What is bilibili-mcp?

Bilibili-mcp on GitHub is a Python MCP server that hooks AI tools like Cursor, Claude Code, or OpenClaw directly into Bilibili's API. Tell your AI to "login to B站" for a QR code scan, then search videos, pull comments, subtitles, danmaku, or video info—plus post dynamics, upload videos (single or multi-part), and check analytics like hot trends or user stats. It solves manual API drudgery by letting natural language drive full Bilibili ops, from data scraping to content publishing.

Why is it gaining traction?

With 27 tools spanning login, search, interactions, and uploads, this bilibili mcp server stands out for one-stop Bilibili control—no custom wrappers needed. Seamless MCP integration means Cursor + mcp bilibili or mcp github copilot vscode setups work out of the box, and features like auto-cover extraction for uploads hook devs tired of fragmented scripts. Early buzz around mcp server ai examples positions it as a quick win for agent workflows over raw bilibili-api-python calls.

Who should use this?

Bilibili creators automating replies, dynamics, or video uploads via Cursor + mcp bilibili. AI agent builders chaining Bilibili data into n8n or mcp github n8n flows for trend analysis. Researchers grabbing bulk comments/subtitles without mcp github issues hassles, or mcp github project manager types prototyping bots.

Verdict

Worth forking for Bilibili MCP github python fans—excellent docs and MCP server examples make setup trivial, despite 14 stars and 1.0% credibility signaling early maturity. Test video uploads first; polish needed for production.

(198 words)

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