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PopNx MCPMCP servers for people who use AI · explained in plain words

Linkscribe

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/linkscribe

Install

Overview

Description from the maker (original English)

Transcribe links with a txscribe account; read transcripts, summaries and search back.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "linkscribe": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/linkscribe",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add linkscribe -- npx -y @reneturcios/linkscribe mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "linkscribe": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/linkscribe",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "linkscribe": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/linkscribe",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7245 servers in this category
  • Published to the registry more recently than 91% of the other 7245 servers in this category
  • Basic checks equal to or better than 100% of the other 7245 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Linkscribe safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 3 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

linkscribe

Hand linkscribe a link and get words back. linkscribe talks to a txscribe account: paste a link to a recording — a YouTube video, a Google Drive file, a Dropbox share — and the service transcribes it (the recording itself is transcribed in place, never downloaded). From there you can read the finished transcript in the format you need, ask for a summary, search every recording for the moment a word or phrase was said, and clean up recordings you no longer want.

The eight tools:

  • list_transcriptions — your transcriptions, newest first, with limit / cursor paging and an optional status filter.
  • search_transcriptions — search what was said, not titles: up to five matches per recording, each with the second it starts at.
  • transcribe_link — create a transcription from a link (YouTube, TikTok, Instagram, X (Twitter), Facebook, Vimeo, Loom, Dropbox). Optional language ("auto" or a code such as en-US), diarization, and captions (YouTube only: use the video's own captions when they fit). Uses your minutes.
  • get_transcription — status and metadata of one transcription.
  • get_transcript — the finished transcript as json (segments, word timings, speakers), txt, docx, pdf, srt, vtt, fcpxml, premiere, nvivo, maxqda, or atlasti; optional timestamps and speakers, and from / to in seconds to return only the paragraphs around a moment.
  • get_summary — the summary and its status.
  • request_summary — ask for a summary, or a new one, in an output language and for a kind of recording (scene, e.g. meeting, interview, lecture; omit to let the model choose).
  • delete_transcription — delete a transcription and everything made from it. Cannot be undone.

Every call is made with your own txscribe API key:

export TXSCRIBE_API_KEY="txs_live_…"   # sent as Authorization: Bearer <key>

optional: export TXSCRIBE_API_BASE="https://txscribe.ai/api/v1"

With TXSCRIBE_API_KEY unset the server still starts and lists its tools, but every tool call fails with TXSCRIBE_API_KEY is not set and no request is made. On success a tool returns the upstream JSON body verbatim. An upstream error surfaces as txscribe error: (HTTP ) when the error body carries a code, otherwise txscribe error: HTTP ; an unreachable service surfaces as txscribe unreachable.

Not built, by design: the REST webhooks endpoints and the file-upload flow are not MCP tools in the original service, so linkscribe does not expose them either. The README of the original also mentions a summaryOnly flag for get_transcript; it does not exist in the published OpenAPI document, so it is not exposed here.

CLI

Each tool is a subcommand taking one JSON argument string:

npx @reneturcios/linkscribe list_transcriptions '{"limit":10}'

npx @reneturcios/linkscribe search_transcriptions '{"q":"budget"}' npx @reneturcios/linkscribe transcribe_link '{"url":"https://youtu.be/…","diarization":true}' npx @reneturcios/linkscribe get_transcript '{"id":" ","format":"srt"}' npx @reneturcios/linkscribe request_summary '{"id":" ","scene":"meeting"}' npx @reneturcios/linkscribe --version

Output is the tool's result text. Exit codes: 0 on success, 1 on a runtime error (including a validation or txscribe failure), 2 on a usage error.

MCP server

npx -y @reneturcios/linkscribe mcp

MCP client config:

{

"mcpServers": { "linkscribe": { "command": "npx", "args": ["-y", "@reneturcios/linkscribe", "mcp"], "env": { "TXSCRIBE_API_KEY": "txs_live_…" } } } }

Docker

docker run -i -e TXSCRIBE_API_KEY="txs_live_…" ghcr.io/cloudcorprecords/linkscribe

docker run --rm -e TXSCRIBE_API_KEY="txs_live_…" ghcr.io/cloudcorprecords/linkscribe list_transcriptions '{}'

Development

npm install

npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (fake fetch only, no network) npm run dev # run the CLI from source

License

MIT — Copyright (c) 2026 Rene Turcios

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