PromptLab is a free, lightweight, open-source experimentation tool for Gen AI applications.
PromptLab is a free, lightweight, open-source experimentation tool for Gen AI applications. The promptlab mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 7 defined tools rather than through you.
PromptLab is a free, lightweight, open-source experimentation tool for Gen AI applications. It streamlines prompt engineering, making it easy to set up experiments, evaluate prompts, and track them in production - all without requiring any cloud services or complex infrastructure.
Everything the assistant can do here goes through one of these:
Self-contained — No need for additional cloud services for tracking or collaborationDatasets — JSONL files containing evaluation dataOllama — Run experiments with locally-hosted modelsOpenRouter — Access a wide range of AI models (OpenAI, Anthropic, DeepSeek, Mistral, etc.) via OpenRouter APITracer — Tracer is responsible for persisting and updating assets and experiments in the storage layer. At present, only SQLite is supportedAssets — Immutable artifacts used in experiments, with automatic versioning:Experiments — Evaluate prompts against datasets using specified models and metricsBeing a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Promptlab's toolset — Self-contained, Datasets, Ollama and 4 more — is a fair guide to whether it matches your workflow.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Self-contained | No need for additional cloud services for tracking or collaboration |
| Datasets | JSONL files containing evaluation data |
| Ollama | Run experiments with locally-hosted models |
| OpenRouter | Access a wide range of AI models (OpenAI, Anthropic, DeepSeek, Mistral, etc.) via OpenRouter API |
| Tracer | Tracer is responsible for persisting and updating assets and experiments in the storage layer. At present, only SQLite is supported. |
| Assets | Immutable artifacts used in experiments, with automatic versioning: |
| Experiments | Evaluate prompts against datasets using specified models and metrics. |
{
"mcpServers": {
"promptlab": {
"command": "uvx",
"args": ["promptlab"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.