Twinlens

Name: Twinlens
Author: CloudCorpRecords

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.CloudCorpRecords/twinlens

Install

Overview

Description from the maker (original English)

Create a digital twin lens page, add knowledge to it, and poll its ingestion status.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "twinlens": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/twinlens",
        "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": {
    "twinlens": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/twinlens",
        "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 7, 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 7251 servers in this category
Published to the registry more recently than 88% of the other 7251 servers in this category
Basic checks equal to or better than 100% of the other 7251 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 Twinlens 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 4 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.

twinlens

A lens is a public AI page that answers questions from its owner's own material, with citations. twinlens is a small forwarding client for the hosted lens service: it creates a lens from a profile, adds knowledge to an unclaimed lens, and reports how ingestion is going.

Creation is anonymous by default — no account, no token. An anonymously created lens is live immediately at its share URL, can be claimed afterwards through its claim URL, and expires after 30 days if it never is. If you do have an account, setting MINDOLA_SESSION_TOKEN sends it as a Bearer token and the lens is created directly under that account. The endpoint can be overridden with MINDOLA_MCP_URL (default https://app.mindola.ai/mcp/lens).

Creation etiquette (part of the contract): summarize the proposed profile and get the user's explicit confirmation *before* calling create, and only include information the user provided or confirmed. Never fill a profile with guesses.

CLI

npx @reneturcios/twinlens create '{"displayName":"Ada Example","tone":"warm","facts":["Works on compilers"]}'

npx @reneturcios/twinlens add-knowledge '{"lens_token":"abc123","items":[{"type":"text","content":"A note","title":"Note"}]}' npx @reneturcios/twinlens status abc123 npx @reneturcios/twinlens --version

create takes the profile as one JSON object (every field optional). add-knowledge takes {lens_token, items} the same way. status takes the share token (the part of the share URL after /me/) directly.

Exit codes: 0 on success, 1 on a runtime error (including an upstream rejection, e.g. adding knowledge to a claimed lens), 2 on a usage error.

MCP server

npx -y @reneturcios/twinlens mcp

MCP client config:

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

Tools

create_digital_twin_lens — Create a lens from a user-confirmed profile. All fields optional: displayName (≤80 chars), tagline, bio, context, audience (≤500 chars), sourceSummary, topicName (≤80 chars), locale (BCP-47), tone (warm | neutral | professional | playful), accentColor, expertise (string[]), boundaries (string[]), facts (string[], ≤30), suggestedPrompts (string[], ≤4), vibeWords (string[], ≤4). Read the result from structuredContent: shareUrl, claimUrl, manageUrl, claimRequired, expiresAt, factCount.
add_lens_knowledge — Add up to 20 items to an unclaimed lens. lens_token (string, required), items (required): each {type: "text" | "url", content (≤20000 chars), title? (≤80 chars)}. Items ingest in the background.
get_lens_status — lens_token (string, required). Reports claimed and knowledge totals (total, ready, pending, failed); poll with it after adding knowledge until pending reaches zero.

Docker

docker run -i ghcr.io/cloudcorprecords/twinlens

docker run --rm ghcr.io/cloudcorprecords/twinlens status abc123

Development

npm install

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

Twinlens

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

twinlens

CLI

MCP server

Tools

Docker

Development

License