"Podcast Index" matching MCP servers:

Enables AI agents to upload, index, search, and analyze videos through the Reka Vision API, supporting natural language search, visual question answering, and extraction of transcripts and captions.

Enables AI agents to index videos locally once and then browse a compact text map of shots, transcript, silences and visual embeddings, so they can query moments, cut dead air, apply edit scripts, render with ffmpeg and run QA checks without spending tokens on frames. Pixels are only fetched when the agent explicitly peeks at labeled contact sheets.

AI-powered podcast clipper that generates vertical clips with face tracking and burned-in captions, with an MCP server enabling Claude Desktop and Claude Code integration.

Enables AI agents to turn long-form episodes into Shorts, thumbnails, show notes and a podcast RSS feed, then publish them to the creator's own YouTube channel using OAuth-based, credential-free access. It exposes a deny-by-default set of read, create and step-up-approved publish tools so agents can run a creator's clip pipeline end to end without holding API keys or Google credentials.

Enables any agent or LLM to read and query a video cheaply from a locally built context index, exposing text-layer overviews, per-shot thumbnails, on-demand frame retrieval, transcript search, and indexing tools. The server makes no model calls and needs no API key, letting the calling agent's own model reason over the text layer and fetched frames.

Enables coding agents to search and interrogate video by screening labelled contact sheets with typed decision-model questions, returning timed hits with probabilities, full-resolution frames and nearby dialogue without building any vector index. Agents can find specific moments, verify them, zoom into frames, box objects, and map an entire film.

Converts video and image files through the grey telecinema presets (NTSC-J seated black, 8-bit grey, 1-bit overcalc, and a 4x4 collage), producing silent, dither-free output suitable for AI models to ingest. Every conversion is logged with its full command line to an always-visible SQLite index, so byte and dimension changes between files can be audited at any time.

A FastAPI server implementing the Model Context Protocol (MCP) for structured tool use, providing utility tools including random number generation, image generation via Azure OpenAI DALL-E, and AI podcast generation.