# CSMAR MCP

> Use this tool when you need to efficiently manage metadata discovery, query complex data, and optimize workflow performance. It solves problems related to data accessibility, query feasibility, and workflow optimization by providing caching and rate-limit management. Ideal for agent workflows that require seamless data integration and processing, with inputs including query requests and outputs featuring materialized data and metadata insights.

Canonical page: https://skillsregistry.net/skills/jinyukikk0-csmar-data-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jinyukikk0-csmar-data-mcp

## Description

Provides CSMAR metadata discovery, query feasibility probing, and local materialization for agent workflows, with caching and rate-limit management.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fg5doxnujd)
- **Repository:** <https://github.com/JinYuKiKK0/CSMAR-Data-MCP>

## 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": "jinyukikk0-csmar-data-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jinyukikk0-csmar-data-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jinyukikk0-csmar-data-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt