What is the key difference between Composer and Cli?

Composer belongs to the Data Visualization category with local stdio execution, while Cli belongs to the Data Visualization category with local stdio execution.

How do I install Composer or Cli in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Composer and Cli free or paid?

Composer operates under a Free / Open Source model (No auth required). Cli operates under a Freemium model (OAuth 2.0).

Which MCP server has more tools and community activity?

Composer lists 16 tools with 1 views and 4 GitHub stars. Cli lists 8 tools with 3 views and 2 GitHub stars.

Can I use both Composer and Cli together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Composer vs Cli

In-depth architectural comparison of the Composer and Cli MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Composer

Data Visualization · Local stdio

Quality: 48/100 (Fair) | Auth: No auth required

Cli

Data Visualization · Local stdio

Quality: 61/100 (Good) | Auth: OAuth 2.0

Verdict Summary: Choose Composer if you need specialized Data Visualization tools running via a local process. Choose Cli if your workspace requires Data Visualization integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Composer when:

You need dedicated capabilities in the Data Visualization domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: list_diagrams, create_diagram, select_diagram.

Explore Composer Details

Choose Cli when:

You need dedicated capabilities in the Data Visualization domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: OAuth 2.0 (Freemium).
Primary tools included: pushtodisplay_send_update, pushtodisplay_list_boards, pushtodisplay_get_board.

Explore Cli Details

Feature & Specification Comparison

Specification	Composer Data Visualization	Cli pushtodisplay Data Visualization
Summary	Give your AI coding agent an architecture canvas to design and evolve diagrams.	Push To Display MCP server send structured content to selected boards on iOS and android devices with app Push To Display, route updates to specific panels, and render in real time with display-focused multi-panel layouts.
Category & Scope	Data Visualization

Tools & Capabilities Breakdown

Composer Tools (16)

list_diagrams

List all your diagrams. Call this first to find which diagram to work on

create_diagram

Create a new diagram and auto-select it for this session

select_diagram

Select which diagram to work on for this session

rename_diagram

Rename the currently selected diagram

get_graph

Get the full architecture diagram - all nodes and edges

get_node

Get details for a single node including connected edges

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Composer Configuration

mcpServers (Claude Desktop / Cursor)

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

Cli Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "pushtodisplay-cli": {
      "command": "npx",
      "args": [
        "-y",
        "pushtodisplay"
      ]
    }
  }
}

Frequently Asked Questions

Composer is categorized under Data Visualization and uses a local stdio subprocess. In contrast, Cli belongs to Data Visualization using local stdio subprocess. Select Composer when you need capabilities focused on data visualization and Cli when you require tools for data visualization.