# tcs_mcp_claude

> tcs_mcp_claude — exthnet-tcs-mcp-claude. Use this tool when you need to manage job submissions and monitor their status on the Kyushu University supercomputer Genkai using natural language commands. It solves problems of complex job scheduling and monitoring by providing a user-friendly interface to submit, delete, and query jobs, as well as read output files. The tool takes natural language inputs and outputs job status, resource information, and output file contents, making it ideal for users who want to interact with the Genkai supercomputer in a more intuitive way.

Canonical page: https://skillsregistry.net/skills/exthnet-tcs-mcp-claude  
JSON: https://api.skillsregistry.net/v1/skills/exthnet-tcs-mcp-claude

## Description

MCP server that integrates Claude with the Kyushu University supercomputer Genkai's TCS (PJM) job scheduler. It enables natural language control of job submission, status monitoring, deletion, resource queries, and reading output files.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/chz9mq5zvh)
- **Repository:** <https://github.com/exthnet/tcs_mcp_claude>

## 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": "exthnet-tcs-mcp-claude"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/exthnet-tcs-mcp-claude` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/exthnet-tcs-mcp-claude/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