# Vist

> Use this tool when you need to integrate your notes, tasks, and project context with AI agents for seamless collaboration and knowledge sharing. Vist solves problems of data siloing and context loss by providing a shared, privacy-first workspace that exposes your data to LLMs via the Model Context Protocol. It takes in notes, tasks, and project context as inputs and outputs a unified, searchable knowledge base that AI agents can access and update in real time.

Canonical page: https://skillsregistry.net/skills/vist-app  
JSON: https://api.skillsregistry.net/v1/skills/vist-app

## Description

A shared Second Brain for you and your LLMs. Notes, tasks, and project context—perfectly synced.

Vist is a multi-tenant, privacy-first Second Brain built specifically for the age of AI. Unlike traditional note-taking apps that silo your data, Vist exposes your entire workspace—notes, tasks, agent memories, and project state—directly to your LLMs via the Model Context Protocol (MCP).

When you connect Vist to your favorite AI agent, it gains a persistent memory of your work. It can proactively read your project notes, manage your todo lists, update its own agent-specific context, and search your knowledge base—all in real time. 

Key Capabilities:
* Unified Workspace: Seamlessly interlink Markdown-rich notes and task lists.
* Agent Memories: AI models can read and write to dedicated project_state and decision_log memories, ensuring they never lose context between sessions.
* Full-Text & Semantic Search: Agents can query your entire knowledge base instantly to find relevant facts or past decisions.
* Interactive UI Cards: Features rich MCP App integrations, like rendering an interactive Task List UI directly inside the chat window.

Vist bridges the gap between human thought and AI execution, ensuring everything is linked, transparent, and effortlessly flows together.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/vist/app)

## 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": "vist-app"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vist-app` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vist-app/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