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URL: https://glama.ai/mcp/servers/integrations/loom

⇱ Loom | Glama

  • Why this server?

    Referenced for hosting a demo video of the AWS MCP Server functionality.

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    A Model Context Protocol server implementation that enables Claude to perform AWS operations on S3 and DynamoDB services through natural language commands.
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    MIT

  • Why this server?

    Provides tools for managing Loom screen recordings, including listing, retrieving, editing (trimming/extracting clips), and merging videos.

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    Provides tools to list, retrieve, edit, and merge Loom screen recordings.
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  • Why this server?

    Enables analysis of Loom videos by extracting transcripts, key frames, metadata, and comments to provide a unified timeline of visual and audio content.

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    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.
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  • Why this server?

    Provides embedding capabilities for Loom videos, as shown in the README demo section.

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    An MCP server that enables LLM applications to control web browsers via Browserbase, supporting features like web navigation, screenshots, cookie management, and persistent contexts.
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    Apache 2.0

  • Why this server?

    Mentioned in a demo link, suggesting integration for sharing visual demonstrations of the MCP server's functionality with Figma files.

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    Enables AI assistants to interact with Figma files through the ModelContextProtocol, allowing viewing, commenting, and analyzing Figma designs directly in chat interfaces.
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  • Why this server?

    Provides tools for fetching transcript text and comments from public Loom video URLs.

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    Enables users to fetch transcripts and comments from public Loom video URLs. It provides tools to retrieve video text data and discussion threads directly through the Model Context Protocol.
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  • Why this server?

    Enables analysis of Loom videos attached to stories, including extracting metadata, transcripts, debugging insights, and correlating video content with codebases to identify relevant files and generate debugging plans.

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    Provides comprehensive tools for interacting with the Shortcut API, enabling developers to manage stories, comments, projects, and analyze Loom videos for debugging insights.
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  • Why this server?

    Hosts a demonstration video showing the MCP server in action

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    An MCP server that enables AI assistants to create and run Processing sketches directly through natural language commands.
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  • Why this server?

    Provides tools for accessing and manipulating data about Loomers, forms, form responses, and projects in Loom, including retrieval with pagination, filtering, and sorting capabilities.

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    A proof of concept server that provides tools for accessing and managing Loomer data, forms, form responses, and projects with pagination, filtering, and sorting capabilities.
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    MIT