ZBS Index What actually exists in applied AI, with the source next to it

mcp server

Contendeo

Multimodal video analysis MCP — transcription, vision, and OCR for any video URL.

Description as published by the maintainer. Source

  • version 0.1.0
  • slowing
  • document understanding
  • voice

slowing — Most recent push to the repository was 2026-04-24. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

The server requires authentication before it will list its tools (HTTP 401). We do not hold an account for it, so its functions are unknown to us.

Endpoint status observed on . Source: https://contendeo.app/mcp/.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-04-24 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 0.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-04-22 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-04-22 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp endpoint status auth_required The server requires authentication before it will list its tools (HTTP 401). We do not hold an account for it, so its functions are unknown to us. as of probe contendeo.app

Where to get it

Related, by what their authors tagged them

  • ai.primateintelligence/mcp — last commit 2026-08-01, shares video-analysis
    Video scene understanding for AI agents via the Primate Vision API.
  • io.github.aliceappai/mcp-server-alice — last commit 2026-04-17, shares transcription
    Secure audio transcription meets AI. Connect Alice recordings to Claude, ChatGPT, Gemini, and more.
  • yt-mem-ai — last commit 2026-08-02, shares transcription
    Local YouTube memory: transcribe, embed and search videos, with summaries and highlights.
  • Squish — last commit 2026-07-18, shares video-analysis
    Give AI random access to video: timestamped contact sheets + zoom into any start/end range.
  • Optical Context MCP — last commit 2026-04-04, shares multimodal, ocr
    Compress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.
  • io.github.bytedance/mcp-server-browser — last commit 2026-08-05, shares multimodal
    MCP server for browser use access
  • io.github.bytedance/mcp-server-commands — last commit 2026-08-05, shares multimodal
    An MCP server to run arbitrary commands
  • io.github.bytedance/mcp-server-filesystem — last commit 2026-08-05, shares multimodal
    MCP server for filesystem access
  • io.github.bytedance/mcp-server-search — last commit 2026-08-05, shares multimodal
    MCP server for web search operations
  • TokenLab MCP Server — last commit 2026-07-25, shares multimodal
    TokenLab MCP server: 31 default and 80 full-profile tools for models, media, tasks, and files.

These share tags the maintainers applied themselves, such as video-analysis, transcription, multimodal, ocr. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: ai, claude, mcp, model-context-protocol, multimodal, ocr, transcription, video-analysis.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. 0xKaroshi/contendeo-mcp on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://contendeo.app/mcp/ — contendeo.app, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.