# Mindola MCP server

> Mindola MCP server — mindola-ai-mcp-server. Use this tool when you need to create and manage grounded AI pages that provide accurate answers with citations, or when you want to enable AI assistants to generate knowledge and monitor status through natural language interactions. The Mindola MCP server solves problems related to AI knowledge management and question-answering, accepting natural language inputs and producing informative outputs with citations. It is ideal for use cases where trustworthy and transparent AI-generated content is required.

Canonical page: https://skillsregistry.net/skills/mindola-ai-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mindola-ai-mcp-server

## Description

MCP server for creating and managing Mindola lenses, which are grounded AI pages that answer questions from your own material with citations. Enables AI assistants to create lenses, add knowledge, and monitor status through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mkn48gg9i5)
- **Repository:** <https://github.com/Mindola-ai/mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mindola-ai-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mindola-ai-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mindola-ai-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt