# mock-mcp

> Use this tool when you need to generate realistic test data or mock APIs for development and testing purposes. It solves the problem of manually creating test fixtures by automatically producing schema-compliant mock data from OpenAPI JSON Schema definitions. The tool takes OpenAPI JSON Schema as input and outputs generated mock data, making it ideal for use cases where rapid testing and development are required.

Canonical page: https://skillsregistry.net/skills/mcpland-mock-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mcpland-mock-mcp

## Description

Generates schema-compliant mock data from OpenAPI JSON Schema definitions using AI, enabling seamless testing without manual fixtures.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cjo8dn3r99)
- **Repository:** <https://github.com/mcpland/mock-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": "mcpland-mock-mcp"
    }
  }
}
```

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