# DataBench

> DataBench — melodyyangaws-databenchmcp. Use this tool when you need to benchmark and analyze the performance of data platforms using natural language inputs. DataBench automates job submission, tracking, and result collection for tools like TPC-DS, providing cost analysis and report generation capabilities. It integrates with Claude Code, streamlining the benchmarking process and providing actionable insights for data-driven decision making.

Canonical page: https://skillsregistry.net/skills/melodyyangaws-databenchmcp  
JSON: https://api.skillsregistry.net/v1/skills/melodyyangaws-databenchmcp

## Description

Enables natural language driven data platform benchmarking, automating job submission, status tracking, result collection, cost analysis, and report generation for tools like TPC-DS, with integration into Claude Code.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c506xg53f6)
- **Repository:** <https://github.com/melodyyangaws/DataBenchMCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "melodyyangaws-databenchmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/melodyyangaws-databenchmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/melodyyangaws-databenchmcp/pull`

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