Enables creation and management of knowledge graphs with entities, relationships, and observations through HTTP streaming. Supports persistent storage, search functionality, and CRUD operations for building and querying interconnected knowledge bases.
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.
A powerful AI service platform that provides complete MCP tool calling capabilities and RAG knowledge base functionality, enabling users to connect to multiple MCP servers and perform intelligent document search.
Self-hosted service providing unified memory search and write operations across file-based memory, vector embeddings, and the Graphiti temporal knowledge graph, accessible via HTTP API or MCP stdio transport.
A cinema-grade video production MCP server that enables automated website recording, editing, and AI-powered narration using ffmpeg and Playwright. It provides tools for color grading, captioning, and converting videos into social media formats through natural language commands.
Enables remote file system operations (read/write files, manage directories, search files) over HTTP using OAuth 2.0 authentication, with support for web-based clients and multiple concurrent sessions.
Streams real-time log context from Amazon MSK to a Bedrock AI agent for anomaly detection and root cause analysis. Enables AI-powered monitoring with WebSocket push and IAM authorization.
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.
Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.
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.
Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.
Enables downloading videos from 1000+ platforms including YouTube, Bilibili, TikTok, and Twitter using yt-dlp. Supports both MCP protocol and REST API modes with real-time progress tracking, multiple formats, and subtitle downloads.
A Model Context Protocol server that provides video manipulation capabilities, allowing users to clip, merge, and split video files through MCP integration.
A professional video format conversion tool based on MCP protocol that supports multiple formats, batch processing, and quality control for video files.
Provides powerful video and audio editing capabilities through FFmpeg, enabling AI assistants to perform professional-grade operations including format conversion, trimming, overlays, transitions, and advanced audio processing.