A custom MCP protocol service that enhances AI models by providing multilingual translation capabilities and resource management, allowing for automatic text extraction and translation through external APIs.
Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.
Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.
MCP server for hybrid medical consultation integrating Western and Traditional Chinese Medicine, enabling symptom analysis, diagnosis, and treatment suggestions through two specialized models.
Enables automated labor and service contract risk review through MCP, supporting single or batch contract analysis, risk knowledge base queries, and regional regulation lookups.
Hands local video files to Gemini's native video understanding for detailed, timestamped descriptions, and also supports image/media viewing with frame extraction.
A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.
Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
MCP server for video analysis — extracts transcripts, key frames with OCR, and annotated timelines from video URLs. Supports Loom and direct video files (.mp4, .webm). Zero auth required.
Enables publishing photos, reels, and stories to Instagram, reading and moderating comments, fetching performance insights, drafting captions via MCP sampling, and scheduling reels for later.
An MCP server enabling Claude Code to analyze any video (local file, URL, or Jira ticket attachment) by extracting frame images and audio transcripts, or using Gemini for native video analysis.
Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.
Enables the retrieval of subtitles, danmaku (bullet comments), and video comments from Bilibili using standard or short video URLs. It supports multiple transport methods and requires Bilibili authentication via SESSDATA.
Enables video generation through OpenAI's Sora 2 API, allowing users to create, monitor, and manage AI-generated videos. It also provides tools for merging video clips and creating fade animations from static images using FFmpeg.
One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose
Enables AI agents to manage Vimeo video libraries through natural language, including bulk folder operations, transcripts, chapters, captions, showcases, tags, privacy, and embed presets.