# @harurow/j-quants-doc-mcp

> Use this tool when you need to integrate AI clients with J-Quants API endpoints for seamless information retrieval and implementation guidance. It solves problems related to API discovery, documentation, and support by providing detailed information, reference patterns, and FAQ answers through the MCP interface. This tool is ideal for use cases where AI clients require efficient access to J-Quants API resources and knowledge.

Canonical page: https://skillsregistry.net/skills/harurow-j-quants-doc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/harurow-j-quants-doc-mcp

## Description

Enables AI clients like Claude Desktop to search J-Quants API endpoints, get detailed information, reference implementation patterns, and access FAQ answers using MCP.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qayr87ssng)
- **Repository:** <https://github.com/Harurow/j-quants-doc-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": "harurow-j-quants-doc-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harurow-j-quants-doc-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harurow-j-quants-doc-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