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Lens MCP Server

not responding

Lens is listed as active in the registry but did not answer our last check. It exposes 3 tools. Last commit 2 Aug 2026.

Create your digital twin: a public page that answers from your own material, with citations.

Uptime history 51 days of history · worst day 0%
51 days agonow
1.1%
Uptime 24h
1 of 91 checks
3
Tools
read from the server
298 ms
Response time
average over 24h
0
Stars
last commit 2 Aug 2026

Lens does not always answer

Over the last week it answered 3.1% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

run in your terminal
claude mcp add lens --transport http https://app.mindola.ai/mcp/lens
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "lens": {
      "url": "https://app.mindola.ai/mcp/lens"
    }
  }
}
~/.codex/config.toml
[mcp_servers.lens]
url = "https://app.mindola.ai/mcp/lens"
.cursor/mcp.json
{
  "mcpServers": {
    "lens": {
      "url": "https://app.mindola.ai/mcp/lens"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "lens": {
      "url": "https://app.mindola.ai/mcp/lens"
    }
  }
}

Available tools 3

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

lens
add_lens_knowledge
Add 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.
get_lens_status
Check a Mindola lens: its share URL, whether it has been claimed, and how much of its knowledge has finished ingesting (ready / pending / failed).
digital
create_digital_twin_lens
Create 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.

Endpoints

URLTransportStateLatencyChecked
https://app.mindola.ai/mcp/lens streamable-http answering 203 ms 6 min ago

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Lens — questions

Answers built from our own checks of this server.

What can Lens do?
It exposes 3 tools, read directly from the server on our last check. Among them: add_lens_knowledge, create_digital_twin_lens, get_lens_status. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Lens working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 1 of 91 checks got a reply (1.1%), average response time 298 ms. The bar chart above shows every period we have measured.
The registry lists Lens as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect Lens?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Lens need an API key?
No. Lens completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Lens?
It answers our handshake in 298 ms on average, which is faster than 54% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Lens open source?
Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.