# graph-mcp-java-gen

> graph-mcp-java-gen — rajendarmuddasani-02-genai-test-method-generation. Use this tool when you need to generate validated Java test methods from natural-language requests, leveraging a graph catalog to ensure accurate imports and symbols. It solves problems of manual test method creation, reducing errors and increasing efficiency. The tool takes natural-language input and produces compilable Java test methods as output, ideal for automated testing and development workflows.

Canonical page: https://skillsregistry.net/skills/rajendarmuddasani-02-genai-test-method-generation  
JSON: https://api.skillsregistry.net/v1/skills/rajendarmuddasani-02-genai-test-method-generation

## Description

Enables users to turn natural-language requests into validated, compilable Java test methods, grounded in a graph catalog to prevent hallucinated imports and ungrounded symbols.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f65vhs228v)
- **Repository:** <https://github.com/rajendarmuddasani/02-graph-grounded-genai-test-generation>

## 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": "rajendarmuddasani-02-genai-test-method-generation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rajendarmuddasani-02-genai-test-method-generation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rajendarmuddasani-02-genai-test-method-generation/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