# mock-llm-mcp

> Use this tool when you need to test AI integrations without incurring costs or requiring real API keys. It mocks responses from OpenAI, Anthropic, and Google Gemini, allowing for simulated interactions and functionality testing. Ideal for development and testing environments, it provides a controlled interface for inputting test queries and receiving mock responses.

Canonical page: https://skillsregistry.net/skills/rebaselabs-framework-mock-llm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rebaselabs-framework-mock-llm-mcp

## Description

MCP server to mock OpenAI, Anthropic, and Google Gemini responses for testing AI integrations without real API keys or token spend.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lt8uojnv6c)
- **Repository:** <https://github.com/rebaselabs-framework/mock-llm-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": "rebaselabs-framework-mock-llm-mcp"
    }
  }
}
```

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