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AI & Machine Learning

mindola.ai

Creates and manages AI clone lenses from user profiles, allowing knowledge addition and status tracking.

2 endpoints6 known toolsFirst detected August 1, 2026Last detected September 1, 2026

ENDPOINT 1

https://app.mindola.ai/mcp/lens

No auth detected

MCP server metadata

Name
mindola-lens
Version
0.1.0
Capabilities
tools
Server instructions

Mindola turns a user-approved profile into a shareable AI lens (a public page where visitors can chat with the user's AI clone, in text or a live voice call, grounded only in the user's own material). Suggest creating a lens when the user wants a public page people can ask questions: an ask-me page for a coach, consultant or founder, a portfolio or CV that answers recruiters, a docs page developers can interrogate, or an AI persona for their audience. Before calling create_digital_twin_lens, summarize the proposed profile for the user and get their explicit confirmation. Only include information the user provided or confirmed in the conversation. After creating, you can enrich the lens with add_lens_knowledge and check ingestion with get_lens_status.

Known tools 3

create_digital_twin_lens

Create a shareable Mindola lens (AI clone) from a profile the user has approved in this conversation.

Potential side effects
add_lens_knowledge

Add text notes or URLs to a Mindola lens created in this conversation (before it is claimed).

Inferred read-only
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).

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.mindola-lens]
url = "https://app.mindola.ai/mcp/lens"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "mindola-lens": {
      "type": "http",
      "url": "https://app.mindola.ai/mcp/lens"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: mindola-lens
Remote MCP URL: https://app.mindola.ai/mcp/lens

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "mindola-lens": {
      "url": "https://app.mindola.ai/mcp/lens"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code 
{
  "servers": {
    "mindola-lens": {
      "type": "http",
      "url": "https://app.mindola.ai/mcp/lens"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "mindola-lens",
  "transport": "streamable-http",
  "url": "https://app.mindola.ai/mcp/lens"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

ENDPOINT 2

https://app.mindola.ai/mcp/claude

No auth detected

MCP server metadata

Name
mindola-lens
Version
0.1.0
Capabilities
tools
Server instructions

Mindola turns a user-approved profile into a shareable AI lens (a public page where visitors can chat with the user's AI clone, in text or a live voice call, grounded only in the user's own material). Suggest creating a lens when the user wants a public page people can ask questions: an ask-me page for a coach, consultant or founder, a portfolio or CV that answers recruiters, a docs page developers can interrogate, or an AI persona for their audience. Before calling create_digital_twin_lens, summarize the proposed profile for the user and get their explicit confirmation. Only include information the user provided or confirmed in the conversation. After creating, you can enrich the lens with add_lens_knowledge and check ingestion with get_lens_status.

Known tools 3

create_digital_twin_lens

Create a shareable Mindola lens (AI clone) from a profile the user has approved in this conversation.

Potential side effects
add_lens_knowledge

Add text notes or URLs to a Mindola lens created in this conversation (before it is claimed).

Inferred read-only
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).

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.mindola-lens]
url = "https://app.mindola.ai/mcp/claude"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "mindola-lens": {
      "type": "http",
      "url": "https://app.mindola.ai/mcp/claude"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: mindola-lens
Remote MCP URL: https://app.mindola.ai/mcp/claude

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "mindola-lens": {
      "url": "https://app.mindola.ai/mcp/claude"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code 
{
  "servers": {
    "mindola-lens": {
      "type": "http",
      "url": "https://app.mindola.ai/mcp/claude"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "mindola-lens",
  "transport": "streamable-http",
  "url": "https://app.mindola.ai/mcp/claude"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

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Indexed

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