MCP Mermaid vs Tableau MCP

A side-by-side look at the MCP Mermaid and Tableau MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

MCP Mermaid logoMCP MermaidData Visualization · Local subprocess (stdio)Generate mermaid diagram and chart with AI MCP dynamically.65GreatAuth: no auth requiredTableau MCP logoTableau MCPData Visualization · Local subprocess (stdio)Tableau's official MCP Server. Helping agents see and understand data.51GoodAuth: not declared

Verdict: choose MCP Mermaid for data visualization work as a local process; choose Tableau MCP for data visualization as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

MCP Mermaid logoChoose MCP Mermaid when

  • You need dedicated capabilities in the Data Visualization domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
  • You want tools like generate_mermaid_diagram.
Explore MCP Mermaid

Tableau MCP logoChoose Tableau MCP when

  • You need dedicated capabilities in the Data Visualization domain.
  • You prefer a local stdio subprocess transport.
  • You have the keys it needs: SERVER, SITE_NAME, PAT_NAME, PAT_VALUE.
Explore Tableau MCP

Feature & specification comparison

Rows where the two servers differ are marked.

SpecMCP Mermaid logoMCP MermaidTableau MCP logoTableau MCP
CategoryData VisualizationData Visualization
Quality signal65/100 · Great51/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNo auth requiredNot declared
PricingFreeNot declared
Required env varsNone listedSERVERSITE_NAMEPAT_NAMEPAT_VALUE
Verified ownerCommunity listingCommunity listing
GitHub stars646357
Directory activity 8 views 0 installs 1 upvotes 0 views 0 installs 0 upvotes
Tools1Not listed

Tools & capabilities

MCP Mermaid tools 1

  • generate_mermaid_diagramGenerate mermaid diagram and chart with mermaid syntax dynamically. Mermaid is a JavaScript based diagramming and charting tool that uses Markdown-inspired text definitions and a renderer to create and modify complex diagrams. The main purpose of Mermaid is to help documentation catch up with development.

Tableau MCP tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

MCP Mermaid

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "hustcc-mcp-mermaid": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-mermaid"
      ]
    }
  }
}

Tableau MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "tableau-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@tableau/mcp-server@latest"
      ],
      "env": {
        "SERVER": "YOUR_SERVER_HERE",
        "SITE_NAME": "YOUR_SITE_NAME_HERE",
        "PAT_NAME": "YOUR_PAT_NAME_HERE",
        "PAT_VALUE": "YOUR_PAT_VALUE_HERE"
      }
    }
  }
}

Frequently asked questions

MCP Mermaid is categorized under Data Visualization and uses a local stdio subprocess. Tableau MCP belongs to Data Visualization and uses a local stdio subprocess. Pick MCP Mermaid for data visualization work and Tableau MCP for data visualization.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

MCP Mermaid is listed as free. Auth: no auth required. Tableau MCP has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add hustcc-mcp-mermaid and tableau-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, MCP Mermaid has a quality signal of 65/100 (Great) with 8 views, 0 installs and 646 GitHub stars. Tableau MCP has 51/100 (Good) with 0 views, 0 installs and 357 GitHub stars.