M
MCP Directory CURATED DIRECTORY
911 MCP servers indexed
中文
← Back to directory
COMPARE UP TO 4 SERVERS

Compare MCP servers

Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionVideoNote MCPVideo links → multi-format notesBioMCPOne binary. One grammar. Evidence from the biomedical sources you already trust.
FMRS53 / 100 · D75 / 100 · B
Reliability8 / 2010 / 20
Security and permissions9 / 2016 / 20
Maintenance11 / 2018 / 20
Documentation14 / 2017 / 20
Setup experience11 / 2014 / 20
Best for
  • Individual users who want structured, multi-format notes from a single video link quickly
  • Users working in Claude Code who are willing to have the current conversation Agent write notes directly
  • Note workflows that combine speech transcription, visual understanding, danmaku, and comments from multiple sources
  • Users who need task management, multi-video parallelism, and batch output
  • Biomedical researchers
  • Clinicians
  • AI agents that need efficient access to biomedical literature and data analysis
Not for
  • Users whose clients do not support MCP / Claude Code Skill (the source only describes a Claude Code Skill and MCP Server form)
  • Users who do not want to install local dependencies such as FFmpeg and whisper or download videos
  • Scenarios needing a hosted backend service rather than local execution (this project requires no backend service to start)
  • Users needing to write to upstream databases (read-only)
  • Users requiring direct access to closed datasets (e.g., COSMIC is not directly integrated)
  • Users expecting all advanced features without API keys
Required permissions
  • Read video links and download the corresponding media locally into task directories (note_results/{task_id}/raw/)
  • Write generated artifacts locally (transcripts, notes, screenshots, frames, subtitle exports, etc.) into note_results/{task_id}/gen/
  • Read and write the local SQLite database video_note.db (video_tasks global task index)
  • Invoke local components such as FFmpeg and whisper
  • Optional platform QR-code login (Bilibili, Douyin, etc.) and optional fallback LLM API key configuration
  • Requires internet access to query public biomedical APIs
  • Optional API keys (NCBI, Semantic Scholar, OpenFDA, etc.) to improve rate limits or unlock features
  • Local read/write access for skills, cache, and local study data (e.g., `~/.local/share/biomcp`)
Risks and side effects
  • Downloads video, cover, and other media files, consuming local disk space (cleanup keeps configuration and models by default)
  • whisper transcription runs locally, so speed and resource use depend on machine performance
  • Optionally enabling the fallback LLM requires providing an API key, creating key-management risk
  • Platform QR-code login stores session state, involving account-credential risk
  • Cleanup operations may delete task data; check first with cleanup(task_id, dry_run=True)
  • Upstream API rate limits may affect performance
  • Some data sources (e.g., KEGG) have licensing terms that restrict non-academic use
  • Features requiring API keys (e.g., OncoKB) may be incomplete without them
  • Local binary installations need regular updates for compatibility
Supported clientsClaude CodeClaude Desktop, Claude Code, Codex, Other MCP stdio clients
Tools611