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260,585 tools. Last updated 2026-07-05 07:35

"A tool for extracting text from videos" matching MCP tools:

Matching MCP Servers

  • A
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    Enables LLM clients to programmatically generate videos using Plainly's API by listing available video templates, retrieving template parameters, submitting render requests, and checking render status.
    Last updated
    15
    6
    MIT
  • A
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    A fully working MCP server built from scratch in plain Node.js, implementing tools, resources, prompts, notifications, and sampling according to the MCP specification, designed to connect to Claude Desktop or any MCP client.
    Last updated
    19
    MIT

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  • Generates videos from text or image prompts using the Grok API, with optional polling for completion status.
    MIT
  • Generate structured memories from text or explicit memory objects for a user using the Omi MCP Server. Ideal for organizing and extracting meaningful information from emails, social posts, or other sources.
  • Retrieve all videos from a YouTube channel in chronological order. Uses pagination to handle large channel archives, returning up to 30 videos per request with a continuation token for next pages.
    MIT
  • Retrieve the original tool output from a flattened session by providing the session ID and tool use ID found in the [FLATTENED] marker. Returns the full text or image.
    MIT
  • Extract matching patterns from text using regular expressions. Returns a JSON array of matches with full match and capture groups.
    MIT
  • Find specific videos inside a YouTube channel by searching titles and descriptions. Returns matching results from a single channel.
    MIT
  • Add LPM packages to your project by extracting source files for customization. Use for UI components, blocks, templates, and MCP servers.
    ISC
  • Fetch tweets with images and videos from a Twitter user by providing their screen name. Supports pagination with a cursor for navigating through results.
    MIT
  • Retrieve YouTube videos by a given hashtag tag. Supports pagination and filtering for Shorts content.
    MIT