mock-llm-mcp
MCP server to mock OpenAI, Anthropic, and Google Gemini responses for testing AI integrations without real API keys or token spend.
README
mock-llm-mcp
MCP server for Mock LLM API — mock OpenAI, Anthropic, and Google Gemini responses for testing AI integrations. No real API keys or token spend required.
Installation
pip install mock-llm-mcp
# or
uvx mock-llm-mcp
Claude Desktop Configuration
{
"mcpServers": {
"mock-llm": {
"command": "uvx",
"args": ["mock-llm-mcp"],
"env": {
"MOCK_LLM_API_KEY": "your-key-here"
}
}
}
}
No API key required for the free tier (500 calls/day). Get a key at rebaselabs.online for higher limits.
Tools
| Tool | Description |
|---|---|
mock_quick |
Quickest mock response — provider-agnostic, auto-detects response type |
mock_openai_chat |
Drop-in mock for POST /v1/chat/completions (OpenAI format) |
mock_anthropic_message |
Drop-in mock for POST /v1/messages (Anthropic format) |
mock_google_generate |
Drop-in mock for Google Gemini generateContent |
mock_simulate_error |
Simulate specific LLM errors (rate limit, timeout, invalid key, etc.) |
list_mock_models |
List available mock models for a provider |
Use Cases
- Test without token spend — verify your LLM integration code works without calling real APIs
- CI/CD pipelines — deterministic, offline-safe tests using seed-based responses
- Error handling — simulate rate limits, 500 errors, auth failures, context length exceeded
- Frontend dev — build chat UIs without a real API key
- Multi-provider testing — test your abstraction layer against OpenAI, Anthropic, and Google formats
Examples
Quick mock (no format needed)
mock_quick(prompt="Explain quantum computing", length="short")
Test OpenAI integration
mock_openai_chat(
messages=[{"role": "user", "content": "Hello!"}],
model="gpt-4o",
response_type="text"
)
Simulate a rate limit error
mock_simulate_error(provider="anthropic", error_type="rate_limit")
Deterministic response with seed
mock_quick(prompt="Write a haiku", seed=42)
Response Control Headers
All mock tools support:
length:"short","medium","long","xl","random"response_type:"auto","text","code","json","markdown","list"error:"none","rate_limit","server_error","timeout","invalid_key","context_length","content_filter"delay_ms:0–5000— artificial latencyseed: integer — reproducible responses
Environment Variables
| Variable | Description | Default |
|---|---|---|
MOCK_LLM_API_KEY |
API key for authenticated access | `` (free tier) |
MOCK_LLM_API_URL |
Override API base URL | https://mock-llm-api.rebaselabs.online |
Part of the RebaseKit Agent Infrastructure Stack
Mock LLM MCP is part of the RebaseKit suite of agent-native APIs:
- WeTask — web extraction & browser automation
- CodeExec — sandboxed code execution
- PII API — detect & mask sensitive data
- DocParse — document parsing & OCR
- DataTransform — data format conversion & querying
- Mock LLM — mock any LLM provider for testing
"The internet was built for humans. RebaseKit makes it work for agents."
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