About EmpirioLabs AI
A hosted MCP server that exposes EmpirioLabs AI’s models and platform services to AI clients. It covers text, search, media, jobs, GPU Cloud and agents, with selectable toolset profiles.
Key features
- 01Run text models and embeddings
- 02Search the web and conduct research
- 03Generate and edit media
- 04Manage jobs and batch tasks
- 05Operate GPU Cloud and hosted agents
Use cases
- 01Research questions with web sources
- 02Generate images, video, audio or 3D assets
- 03Run model and batch workloads
- 04Deploy GPU instances or hosted agents
MCP support
Provides 83 tools across 10 toolsets, plus ready-made prompts, to MCP clients over Streamable HTTP. Authentication uses OAuth 2.1 or an EmpirioLabs API key.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.empiriolabs.ai/mcpclaude mcp add --transport http ai-empiriolabs https://mcp.empiriolabs.ai/mcp{"mcpServers":{"ai-empiriolabs":{"type":"http","url":"https://mcp.empiriolabs.ai/mcp"}}}Open in Cursor{"servers":{"ai-empiriolabs":{"type":"http","url":"https://mcp.empiriolabs.ai/mcp"}}}Open in VS Code{"mcpServers":{"ai-empiriolabs":{"type":"http","url":"https://mcp.empiriolabs.ai/mcp"}}}{"mcpServers":{"ai-empiriolabs":{"serverUrl":"https://mcp.empiriolabs.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README
EmpirioLabs AI MCP server
Remote Model Context Protocol server for EmpirioLabs AI. Run AI models, image, video and speech generation, web search, batch jobs, GPU Cloud and hosted agents as tools with your EmpirioLabs AI account. It is a remote server, so there is nothing to install.
| Server URL | https://mcp.empiriolabs.ai/mcp (Streamable HTTP) |
| Authentication | OAuth 2.1 (sign in with your EmpirioLabs account) or an EmpirioLabs API key as a bearer token |
| Registry name | ai.empiriolabs/mcp in the official MCP Registry, version 1.2.0 |
| Documentation | https://docs.empiriolabs.ai/mcp |
| Support | [email protected] |
Every model and feature EmpirioLabs adds is available here as it launches, at the same final prices and limits as the API. Connections use your prepaid credits, and you can disconnect any app under Settings in the dashboard.
Connect
Claude (web, desktop, mobile)
- Open Settings, then Connectors, and choose Add custom connector.
- Enter
https://mcp.empiriolabs.ai/mcpas the URL. Leave the OAuth client fields empty. - Click Connect, sign in to EmpirioLabs, review the request, and choose Allow access.
Claude Code:
claude mcp add --transport http empiriolabs https://mcp.empiriolabs.ai/mcp
Run /mcp inside Claude Code to complete the sign-in the first time. The repository is also a Claude Code plugin (.claude-plugin/plugin.json), so it can be installed from a plugin marketplace.
ChatGPT
- Open EmpirioLabs AI in the ChatGPT Plugins directory and install it.
- Sign in to EmpirioLabs, review the request, and choose Allow access.
- In a chat, type @ and choose EmpirioLabs AI.
You can also add the server yourself: open Settings, then Plugins, and turn on Developer mode. Then, on the Plugins page, choose Add plugin, then Create app, and enter https://mcp.empiriolabs.ai/mcp as the server URL with OAuth authentication. The server also provides the search and fetch tools ChatGPT uses for connectors, so it works in chat and in deep research.
Cursor, VS Code, Windsurf, Cline and other editors
Remote servers are configured with a URL. Sign in through OAuth when the editor prompts, or add an API key header:
{
"mcpServers": {
"empiriolabs": {
"url": "https://mcp.empiriolabs.ai/mcp",
"headers": {
"Authorization": "Bearer sk-empiriolabs-your_key_here"
}
}
}
}
VS Code reads the same shape from .vscode/mcp.json with a servers key and "type": "http". Codex CLI: codex mcp add empiriolabs --url https://mcp.empiriolabs.ai/mcp. Gemini CLI and Windsurf accept the JSON block above in their MCP settings. Cline: see llms-install.md.
GitHub Copilot CLI
copilot plugin marketplace add EmpirioLabs-AI/mcp
copilot plugin install empiriolabs-ai@empiriolabs
The plugin adds the server as empiriolabs. Sign in when Copilot CLI asks, and run /mcp auth empiriolabs to sign in again or switch accounts. To use an API key instead of the plugin, add the server yourself:
copilot mcp add --transport http --header "Authorization: Bearer sk-empiriolabs-your_key_here" empiriolabs https://mcp.empiriolabs.ai/mcp
Google Antigravity
Antigravity names the endpoint field serverUrl, not url. Put this in
~/.gemini/config/mcp_config.json, or in plugins/<name>/mcp_config.json to
ship it with a plugin:
{
"mcpServers": {
"empiriolabs": {
"serverUrl": "https://mcp.empiriolabs.ai/mcp",
"headers": {
"Authorization": "Bearer sk-empiriolabs-your_key_here"
}
}
}
}
A server that fails to connect is silently absent from Antigravity's tool list rather than reported as an error, so check the key first if the tools do not appear.
Grok, Perplexity, Le Chat and Gemini
These assistants take the server as a custom connector; paste https://mcp.empiriolabs.ai/mcp and sign in when asked.
- Grok: open
grok.com/connectors, choose New Connector, then Custom, and enter the URL. - Perplexity: open Settings, then Connectors, choose Custom connector, then Remote, enter the URL with the Streamable HTTP transport and OAuth 2.0.
- Le Chat: open Connectors, choose Add Connector, then the Custom MCP Connector tab, give it a name and enter the URL.
- Gemini: open Settings & help, then Connected Apps, and add a custom app with the URL.
Any HTTP client
The server speaks JSON-RPC over POST https://mcp.empiriolabs.ai/mcp. Send Authorization: Bearer <API key or OAuth access token> and Accept: application/json, text/event-stream on every request.
curl "https://mcp.empiriolabs.ai/mcp" \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Accept: application/json, text/event-stream" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"list_models","arguments":{"modality":"image","limit":5}}}'
Tools
83 tools in 10 toolsets. The complete reference with every parameter is on the documentation page.
| Toolset | What it covers |
|---|---|
| Models | Browse the model catalog, prices, capabilities, and parameters |
| Text | Run chat, embeddings, reranking, decisions, and AI text detection (uses credits) |
| Search | Run web search, grounded answers, and research (uses credits) |
| Media | Generate and edit images, video, audio, speech, transcription, document OCR, and 3D (uses credits) |
| Jobs | Check, wait for, and cancel generation jobs |
| Agents | Run and manage agent tasks (uses credits) |
| Account | Read usage history and the current balance |
| Batch | Upload batch files and manage batch jobs (uses credits) |
| GPU Cloud | Deploy and manage GPU instances, clusters, and volumes (billable) |
| Hosted Agents | Create and manage hosted agents (billable) |
Profiles
Profiles expose a subset of toolsets at a shorter URL:
| URL | Toolsets |
|---|---|
https://mcp.empiriolabs.ai/mcp | all |
https://mcp.empiriolabs.ai/mcp/inference | models, text, search, jobs, account |
https://mcp.empiriolabs.ai/mcp/media | models, media, jobs, account |
https://mcp.empiriolabs.ai/mcp/cloud | models, account, gpu, hosted_agents |
Combine toolsets with +, for example https://mcp.empiriolabs.ai/mcp/models+text+jobs.
Prompts
Ready-made requests that chain several tools; clients that support MCP prompts list them next to the tools.
| Prompt | What it does | Arguments |
|---|---|---|
choose_model | Compare EmpirioLabs models for a task and recommend one, with a cheaper fallback and final prices. | task, modality (optional), priority (optional) |
research_with_citations | Answer a question from live web research and cite every source. | question, depth (optional) |
generate_media | Create an image, video, audio track or 3D asset from a description and return the finished files. | description, kind (optional), model (optional) |
deploy_gpu_workload | Rent a GPU on EmpirioLabs GPU Cloud, start a workload on it and report the endpoints and hourly cost. | workload, gpu (optional), max_hourly_price (optional) |
spend_report | Summarise the account balance, recent usage and everything that is still running and billing. | period (optional) |
Access and privacy
- Read-only tools (catalog, jobs, usage) use no credits. Tools that run models, searches, agent tasks, batches or infrastructure use the prepaid credits of the connected account.
- OAuth connections are listed under Settings > Connected applications in the dashboard, where Disconnect ends access right away.
- Privacy policy and terms of service.
About this repository
This repository holds the public listing material for the hosted server: the registry server.json, the LobeHub and Claude plugin manifests, the icons, and the install notes. Every file that describes the tool surface is generated from the server's own definition, so it always matches what https://mcp.empiriolabs.ai/mcp serves. The server itself is operated by EmpirioLabs.ai LLC.
The files in this repository are licensed only for installing and connecting to EmpirioLabs AI; see LICENSE. The EmpirioLabs name and logos are trademarks of EmpirioLabs.ai LLC.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.