What is the key difference between Dingo and Optuna MCP?

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

How do I install Dingo or Optuna MCP 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 Dingo and Optuna MCP free or paid?

Dingo operates under a Free / Open Source model (No auth required). Optuna MCP operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Dingo lists 6 tools with 3 views and 756 GitHub stars. Optuna MCP lists 41 tools with 4 views and 86 GitHub stars.

Can I use both Dingo and Optuna MCP 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

Dingo vs Optuna MCP

In-depth architectural comparison of the Dingo and Optuna MCP 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

Dingo

Data Science Tools · Local stdio

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

Optuna MCP

Data Science Tools · Local stdio

Quality: 74/100 (Great) | Auth: No auth required

Verdict Summary: Choose Dingo if you need specialized Data Science Tools tools running via a local process. Choose Optuna MCP 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 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

Choose Optuna MCP 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: create_study, study_name, directions.

Explore Optuna MCP Details

Feature & Specification Comparison

Specification	Dingo DataEval Data Science Tools	Optuna MCP optuna VerifiedData Science Tools
Summary	MCP server for the Dingo: a comprehensive data quality evaluation tool. Server Enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules&prompts listing.	Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with Optuna.
Category & Scope

Tools & Capabilities Breakdown

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

Optuna MCP Tools (41)

create_study

Create a new Optuna study with the given study_name and directions.

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).

Dingo Configuration

mcpServers (Claude Desktop / Cursor)

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

Optuna MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "optuna-optuna-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "optuna-optuna-mcp"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to Dingo More alternatives to Optuna MCP Data Science Tools category hub