# mainframe-mcp

> Use this tool when you need to interact with IBM z/OS mainframes using natural language, to solve problems such as accessing legacy systems or automating mainframe tasks. It provides a structured interface for screen reading, dataset browsing, code editing, job submission, and regression testing, accepting Claude Code inputs and producing mainframe outputs. Ideal for use cases requiring efficient and safe mainframe access, such as DevOps, testing, and system administration.

Canonical page: https://skillsregistry.net/skills/sagar25k-mainframe-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sagar25k-mainframe-mcp

## Description

Provides safe, structured access to an IBM z/OS mainframe through natural language in Claude Code, enabling screen reading, dataset browsing, code editing, job submission, and regression testing.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fqmc8svam5)
- **Repository:** <https://github.com/sagar25k/mainframe-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": "sagar25k-mainframe-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sagar25k-mainframe-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sagar25k-mainframe-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
