What is the key difference between Data Profiler and Dingo?

Data Profiler belongs to the Data Science Tools category with local stdio execution, while Dingo belongs to the Data Science Tools category with local stdio execution.

How do I install Data Profiler or Dingo 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 Data Profiler and Dingo free or paid?

Data Profiler operates under a Free / Open Source model (No auth required). Dingo operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Data Profiler lists 0 tools with 1 views and 1 GitHub stars. Dingo lists 6 tools with 3 views and 756 GitHub stars.

Can I use both Data Profiler and Dingo 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

Data Profiler vs Dingo

In-depth architectural comparison of the Data Profiler and Dingo 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

Data Profiler

Data Science Tools · Local stdio

Quality: 39/100 (Fair) | Auth: No auth required

Dingo

Data Science Tools · Local stdio

Quality: 59/100 (Good) | Auth: No auth required

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

Which MCP Server Should You Choose?

Choose Data Profiler when:

You need dedicated capabilities in the Data Science Tools domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Data Profiler Details

Choose Dingo when:

You need dedicated capabilities in the Data Science Tools domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: Rule-based data quality evaluation, LLM-based quality assessment, Rules and prompts discovery.

Explore Dingo Details

Feature & Specification Comparison

Specification	Data Profiler Data Science Tools	Dingo DataEval Data Science Tools
Summary
Category & Scope	Data Science Tools	Data Science Tools
Quality signal

Tools & Capabilities Breakdown

Data Profiler Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Dingo Tools (6)

Rule-based data quality evaluation

LLM-based quality assessment

Rules and prompts discovery

RAG evaluation support

HHEM hallucination detection option

SSE and stdio MCP transports

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).

Data Profiler Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "data-profiler": {
      "command": "uvx",
      "args": [
        "mcp-data-profiler"
      ]
    }
  }
}

Dingo Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "dataeval-dingo": {
      "command": "uvx",
      "args": [
        "dingo-python"
      ]
    }
  }
}

Frequently Asked Questions

Data Profiler is categorized under Data Science Tools and uses a local stdio subprocess. In contrast, Dingo belongs to Data Science Tools using local stdio subprocess. Select Data Profiler when you need capabilities focused on data science tools and Dingo when you require tools for data science tools.

More alternatives to Data Profiler More alternatives to Dingo Data Science Tools category hub