About twinlens
twinlens is a forwarding client for a hosted service that creates public AI pages answering questions from an owner's material with citations. It is for people creating a shareable profile-based lens, adding knowledge, and checking ingestion progress.
Key features
- 01Create a lens from a profile
- 02Add text or URL knowledge items
- 03Check ingestion and claim status
- 04Create anonymously or under an account
Use cases
- 01Publish a shareable profile-based AI page
- 02Add source material to an unclaimed lens
- 03Monitor background ingestion progress
MCP support
Provides MCP tools to create a lens from a user-confirmed profile, add knowledge to an unclaimed lens, and retrieve lens and ingestion status.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
3Saved tool list · updated 1w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| bio | string | No | Short biography built from user-confirmed information |
| tone | enum | No | Tone for the lens copywarm | neutral | professional | playful |
| facts | array | No | Standalone user-approved facts that seed the lens knowledge base |
| locale | string | No | BCP-47 language tag for the lens copy, e.g. en or nl |
| context | string | No | Extra grounding context for how the lens should answer |
| tagline | string | No | One-line summary of who the lens represents |
| audience | string | No | Who the lens is meant to help |
| expertise | array | No | Confirmed domains and skills |
| topicName | string | No | Name of the Mindola space that holds the seeded facts |
| vibeWords | array | No | Short adjectives that describe the profile |
| boundaries | array | No | Things the lens should not claim or discuss |
| accentColor | string | No | Hex color like #4f46e5 |
| displayName | string | No | Public name shown on the lens |
| sourceSummary | string | No | What the assistant used to assemble the profile |
| suggestedPrompts | array | No | Starter questions shown to visitors |
Details
From the project READMEtwinlens
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 fromstructuredContent: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). Reportsclaimedandknowledgetotals (total,ready,pending,failed); poll with it after adding knowledge untilpendingreaches 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
License
MIT — Copyright (c) 2026 Rene Turcios
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.