Lens MCP server
online · 100% uptimeai.mindola/lens·v1.0.2Create your digital twin: a public page that answers from your own material, with citations.
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If you have run it, two minutes of your experience saves the next person an afternoon.
Lens tools (3, 1 write)
write = sends, deletes, buys or postsadd_lens_knowledgeFreeAdd text notes or URLs to a Mindola lens created in this conversation (before it is claimed). Content runs through the standard ingest pipeline so the lens can answer from it, with citations.
create_digital_twin_lenswrite actionFreeCreate a shareable Mindola lens (AI clone) from a profile the user has approved in this conversation. Call this only after summarizing the proposed lens for the user and receiving explicit confirmation. Use only information the user provided or confirmed in the conversation; do not claim access to hidden memory, private chats, or external accounts.
get_lens_statusFreeCheck a Mindola lens: its share URL, whether it has been claimed, and how much of its knowledge has finished ingesting (ready / pending / failed).
Public scan report
scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 942ms20/20
- Tool poisoning3 tool descriptions checked15/15
- Auth qualityopen endpoint exposes 1 write-action tools with no auth3/15
- Maintenancelast push 53 days ago12/15
- Maintainer identitynamespace and repository owner differ; website matches verified namespace6/10
Findings (1)
- highWrite-action tools reachable without authentication
auth.open-write
How Lens compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 75/100
- higher than 45% of 48,255 servers
- Tools
- 3
- the typical server has 7
- Tools that change things
- 33%
- typical: 0%. Fewer write tools means less an agent can break
- Uptime
- 100%
- of our recent checks; the typical remote server answers 100%
- Response time
- 79 ms
- faster than 88% of 30,031 servers
What its tools let an agent do: 1 read · 2 create
Install Lens in Claude Code, Cursor or VS Code
claude mcp add --transport http lens https://app.mindola.ai/mcp/lens
What the publisher says
From the Lens repository's README, as published. We do not edit it. Read it on GitHub
Mindola MCP server
Mindola turns a person's own material (writing, notes, documents, links) into a public AI page that answers questions from that material alone, with citations.
That public AI page is called a lens: one shareable link, like https://mindola.ai/me/your-name, where anyone can ask questions in chat or a live voice call. Every answer is grounded only in the owner's material and shows its sources. If the material does not cover a question, the lens says so honestly instead of guessing, and can hand the question to the real person.
This repository is the public documentation and examples for Mindola's hosted MCP server. The server is remote: there is nothing to install or run. You add one URL to your MCP client (Claude, Cursor, VS Code, Codex, ChatGPT), and your AI assistant can create and fill a lens for you in one conversation. The server itself runs inside the Mindola app, which is closed source; this repo holds the docs and example code.
Try a live lens right now, no account needed: mindola.ai/me/charles-darwin.
What problem Mindola solves
People publish knowledge that nobody reads. Your blog posts, documentation, course material, and notes sit in archives, and visitors are expected to dig through them. Most will not. They have one question and they want one answer.
A generic AI chatbot is not the fix. It answers from whatever it was trained on, so it confidently makes things up about you, your product, or your work. That is worse than no answer.
Mindola sits in between. It gives your material a front door: a page that answers questions from your knowledge base and nothing else, cites where each answer came from, and admits when it does not know. Visitors get answers instead of archives, and you get to see what they asked.
Why Mindola instead of building RAG yourself
Building retrieval-augmented generation (RAG) yourself is a real project. You need ingestion for every source type, chunking that respects document structure, embeddings, a vector store, retrieval tuning, grounding logic so the model stays inside your material, a citation UI, refusal behavior for out-of-scope questions, and then hosting, monitoring, and a front end. Add real-time voice and it roughly doubles.
Mindola gives you the finished product behind one link and one API. You provide the material; Mindola handles knowledge retrieval, grounded answers, citations, refusals, voice, the public page, and the inbox for unanswered questions. You can go from nothing to a working grounded AI page in one conversation with your coding assistant.
Building your own is still the right call in some situations. If you need full control over which models run, where your data lives, or how retrieval is ranked, or you want to embed the pipeline deep inside an existing product, roll your own. Mindola is for everyone who wants the outcome without owning the pipeline.
Core capabilities
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Lens: common questions
- Is Lens MCP server safe?
- Mostly: it is graded B (75/100). Read the Lens safety report
- How do I install Lens?
- It runs remotely at app.mindola.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Lens need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Lens maintained?
- The last commit was 94 days ago (2026-08-02). The latest release is v1.0.2.
- Is Lens up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- How does Lens compare with other MCP servers?
- safety score 75/100 (higher than 45% of 48,255 servers); tools 3 (the typical server has 7); tools that change things 33% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.