# MockMCP

> Use this tool when you need to prototype and test AI agents with realistic fake data, to solve problems such as simulating real-world scenarios and testing integrations without actual data. MockMCP provides a hosted endpoint with 12 tools, including fake customer data and product catalogs, and requires no setup or API key. It is ideal for use cases where quick and easy testing is necessary, with inputs of API requests and outputs of realistic fake data responses.

Canonical page: https://skillsregistry.net/skills/mockmcp  
JSON: https://api.skillsregistry.net/v1/skills/mockmcp

## Description

MockMCP provides a hosted MCP endpoint with realistic fake data for prototyping and testing AI agents. The server offers 12 tools including fake customer data, product catalogs, and inventory records. No setup or API key required.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mockmcp)
- **Repository:** <https://github.com/k-cupples/mockmcp>

## 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": "mockmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mockmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mockmcp/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