Visuals MCP

Name: Visuals MCP
Author: harrybin

by harrybinversion 1.6.0i★ –iRuns on your computer

Registry nameio.github.harrybin/visuals-mcp

Install

Overview

Description from the maker (original English)

MCP server for interactive visualizations: tables, images, trees, lists, master-detail

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "visuals": {
      "command": "npx",
      "args": [
        "-y",
        "@harrybin/visuals-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add visuals -- npx -y @harrybin/visuals-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "visuals": {
      "command": "npx",
      "args": [
        "-y",
        "@harrybin/visuals-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "visuals": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@harrybin/visuals-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account harrybin, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32558 servers in this category
Published to the registry more recently than 6% of the other 32558 servers in this category
Basic checks equal to or better than 100% of the other 32558 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Visuals MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.6.0) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, FactLot

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday

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FactLot

by 9mp96ygnbk-alt

Cited CRE facts and deterministic calculators for agents: rent, CAM, debt sizing, IRR, parcel IDs.

Computer or cloudUpdated today

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

MCP Visuals Server

An MCP (Model Context Protocol) server that provides interactive visualizations for AI agents. Display data in rich, interactive formats including tables with TanStack Table, charts with Recharts, image previews with metadata, master-detail views for browsing collections, tree views for hierarchical data, and customizable lists with drag-and-drop reordering.

Quick Install

°°°

Features

Table Visualization

Interactive Table Display: Full-featured data table with TanStack Table v8
Sorting: Click column headers to sort ascending/descending
Filtering: Per-column text filters with apply button
Pagination: Customizable page sizes (5, 10, 20, 50, 100 rows)
Column Visibility: Toggle which columns are displayed
Row Selection: Select individual rows or all rows
Export: Copy as CSV/TSV or export to PDF
Agent Integration: Table state (selections, filters, sorting) automatically sent back to the LLM via updateModelContext
Theme Integration: Respects VS Code theme colors and fonts
Responsive: Works on different screen sizes
Generic Data Support: Accepts any column structure and data types

Chart Visualization

Interactive Charts: Render line, bar, area, pie, scatter, and composed charts
Multiple Charts Per View: Show several charts together in vertical, horizontal, or grid layouts
Flexible Series Configuration: Configure named series, custom colors, stacked bars/areas, and mixed composed charts
Rich Chart Features: Optional legends, tooltips, grid lines, and dual Y-axes
Export Options: Copy chart payloads as JSON or CSV directly from the UI
Agent Awareness: Active chart selection and hover state can be reported back to the host app
Theme Integration: Respects VS Code theme colors and fonts
Responsive: Adapts to narrow panels and wider layouts

Image Preview

Rich Image Cards: Display images with title, caption, and metadata
Metadata Display: Show filename, dimensions, and file size
Flexible Sources: Support URLs and data URIs
Local File Support: Automatically converts local file paths to data URIs
Theme Integration: Respects VS Code theme colors and fonts

Master-Detail View

Flexible Layout: Display a list of items with detailed content panel
Multiple Content Types: Detail panel supports tables, images, or custom text/HTML
Reusable Components: Leverages existing table and image visualizations
Configurable Layout: Choose horizontal (side-by-side) or vertical (stacked) orientation
State Management: Selection state automatically sent back to LLM
Rich Master List: Display items with icons, labels, and descriptions
Theme Integration: Consistent theming across all components

Tree View

Hierarchical Data Display: Interactive tree structure for nested data
Expand/Collapse: Click to expand or collapse nodes
Node Selection: Select individual nodes to highlight them
Metadata Support: Display optional metadata for each node
Icons: Add custom icons/emojis to nodes
Bulk Operations: Expand all or collapse all nodes at once
Export Options: Copy tree to clipboard, export as HTML, or save as image (PNG)
Agent Integration: Tree state (expanded nodes, selection) sent back to the LLM
Theme Integration: Respects VS Code theme colors and fonts
Use Cases: File systems, org charts, nested categories, JSON/XML structures

List Visualization

Interactive Lists: Display any type of list with rich formatting
Drag-and-Drop Reordering: Easily reorder items by dragging
Checkboxes: Optional checkboxes for task lists and selections
Image Thumbnails: Show images alongside list items
Compact Mode: Toggle between comfortable and compact layouts
Export Options: Copy as plain text, CSV, or JSON
Individual Item Copy: Quick copy button for each item
Subtext Support: Secondary text/description for each item
Metadata: Attach custom metadata to items
Theme Integration: Respects VS Code theme colors and fonts

Screenshots

*Interactive table with sorting, filtering, pagination, and row selection*

*Interactive chart dashboard with multiple chart types and grid layout*

*Master-detail view for browsing collections with tables, images, or custom content*

*Interactive list with drag-and-drop reordering, checkboxes, and image thumbnails*

*Interactive tree view with expand/collapse, node selection, and export options*

Installation

VSCode Extension (Easiest)

Install directly from the VS Code Marketplace:

Open VS Code
Go to Extensions (Ctrl+Shift+X / Cmd+Shift+X)
Search for "Visuals MCP"
Click Install

The extension will automatically register the MCP server with VS Code and GitHub Copilot Chat.

npmjs (Recommended for other MCP Clients)

In VSCode github Copilot Chat

click on the tools icon (Configure tools...)
click on "Add MCP Server"
click on "Install from npm"
enter @harrybin/visuals-mcp
press enter / click "Install"

Using command line:

npm install -g @harrybin/visuals-mcp

visuals-mcp

GitHub Packages

Authenticate npm with GitHub Packages:

npm config set @harrybin:registry https://npm.pkg.github.com

npm config set //npm.pkg.github.com/:_authToken=YOUR_GITHUB_TOKEN

Install and run:

npm install -g @harrybin/visuals-mcp

visuals-mcp

Local Development

# Install dependencies

npm install

Build all UI bundles and the server

npm run build

Optional: rebuild only the chart UI bundle

npm run build:charts

Run the server

npm run serve

Chart Tool

Use display_chart to render one or more interactive charts in the MCP client.

Supported chart types:

line
bar
area
pie
scatter
composed

Repository Metrics Dashboard Example

Generate fresh metrics first:

npm run metrics:repo:write

This writes a snapshot to doc/repo-metrics.json.

Then render a dashboard that uses all chart types (line, bar, area, pie, scatter, composed):

For release-quality docs, always regenerate doc/repo-metrics.json right before updating README examples.

1. Configure MCP Server

For VS Code: This workspace includes MCP configuration in .vscode/settings.json.

To add globally, update your VS Code settings:

"github.copilot.chat.mcpServers": { "visuals-mcp": { "type": "stdio", "command": "node", "args": [ "dist/server.js" ] } } }

For Claude Desktop: See claude_desktop_config.json for example configuration.

Visuals MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

FactLot

README from the maker

MCP Visuals Server

Quick Install

Features

Table Visualization

Chart Visualization

Image Preview

Master-Detail View

Tree View

List Visualization

Screenshots

Installation

VSCode Extension (Easiest)

npmjs (Recommended for other MCP Clients)

GitHub Packages

Local Development

Build all UI bundles and the server

Optional: rebuild only the chart UI bundle

Run the server

Chart Tool

Repository Metrics Dashboard Example

1. Configure MCP Server

License

Contributing

Resources