vid-agent-mcp
Allows downloading, transcribing, and analyzing Bilibili videos, including searching by keyword or natural language intent.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
vid-agent-mcp
MCP server for video understanding — transcribe Bilibili videos, search, and analyze local files through natural conversation with Claude.
Chat with Claude and ask it to watch a video for you. Send a Bilibili link, get back a structured summary with key points, visual moments, and a "worth watching" verdict — all through MCP tools.
How it works
You: "转录一下这个视频 BV1pzjy6GEkC"
Claude: *calls transcribe tool*
→ Downloads video via BBDown
→ Transcribes audio with faster-whisper
→ Identifies key visual moments via VLM
→ Returns structured summary
You: "最近有什么AI Agent新视频?"
Claude: *calls search_by_intent tool*
→ Expands intent into multiple search queries
→ Searches Bilibili concurrently
→ Merges & ranks results by popularityRelated MCP server: video_agent
Tools
Tool | Description |
| Download + analyze a Bilibili video |
| Analyze a local video file |
| Search Bilibili by keyword |
| AI-powered search with natural language |
| Read a previously saved result |
Setup
Prerequisites
Python 3.11+
ffmpeg (install via
conda install ffmpegor system package manager)BBDown (for Bilibili downloads) — install from here or use an existing install
A MiMo API key (or any OpenAI-compatible VLM API)
Install
# 1. Clone
git clone https://github.com/ikerrrrrrrrrrr/bili-vid-agent
cd bili-vid-agent
# Or install the MCP server directly
pip install vid-agent-mcp
# 2. Configure
cp .env.example .env
# Edit .env with your API key
# 3. Run
vid-agent-mcpClaude Desktop configuration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"vid-agent": {
"command": "vid-agent-mcp",
"env": {
"VLM_API_KEY": "your-key-here"
}
}
}
}Or point to a local install:
{
"mcpServers": {
"vid-agent": {
"command": "conda",
"args": ["run", "-n", "vid_agent", "vid-agent-mcp"]
}
}
}Configuration
All config via .env file or environment variables:
Variable | Default | Description |
| — | MiMo API key (required) |
|
| API base URL |
|
| Model for visual analysis |
|
| Model for summary generation |
|
| Path to BBDown binary |
|
| Whisper model size |
|
| Download/transcription cache |
|
| Working directory |
License
Apache 2.0
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
This server cannot be deployed
Maintenance
Related MCP Connectors
Bilibili videos for AI agents: search, creators, trending, stats, tags and danmaku comments.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
Bilibili public video, article, dynamic, creator, comments, reactions, and transcript tools.
Search YouTube videos, read transcripts and get public video information in your AI assistant.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceEnables interaction with Bilibili (B站) platform through API and web scraping. Supports video search, article search, video info retrieval, comment fetching, danmaku extraction, and article content access.4-
- AlicenseNot gradedqualityDmaintenanceEnables probing, ingesting, transcribing, and searching Bilibili videos with timestamped evidence and frame extraction, without reading browser cookies.3 npmMIT
- AlicenseAqualityBmaintenanceEnables AI coding agents to access Bilibili video data and turn videos into notes, including search, video info, subtitles, chapters, audio download, ASR transcription, comments, uploader collections, and favorites.1547 PyPI3MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI clients to search and open Bilibili videos, control a logical playback clock (play/pause/seek), read and post comments, like, coin, favorite, and fetch or export subtitle tracks through compact plain-text tool output. Write operations require a Bilibili login, which can be established by QR scan in an accompanying web console.MIT