The Laboratory Manual for AI Agents
We bring the protocols, domain knowledge, and institutional memory of biomedical research directly to AI. Connect your agents to the Global Context Hub via the Model Context Protocol (MCP) so they can understand, execute, and reason about laboratory workflows as fluently as any trained researcher.
Free Tier
- Access to public Skill Library
- Standard Global Brain queries
- Rate limited (HTTP 429 queuing)
Priority Access
- Unlimited Skill Library access
- Deep Global Brain vector queries
- Dedicated Priority Queue
- No queue ahead of your requests
What routes through this endpoint
Every figure below is a row count or a recorded event. Where we do not yet have a measurement, this says so rather than estimating one.
Reachable
- Skill-hierarchy rows
- 2,197
- Knowledge items
- 299
- World facts
- 22,714
What an agent can mount through the gateway. Eight read-only tools are exposed; writes and executions are redacted from tools/list and refused on call.
Actually retrieved
Distinct skills pulled into a prompt across 618 recorded retrievals — 12.8% of the library. The other 87.2% has never been reached for. We publish the unflattering half because it is the argument for curation over accumulation.
Gateway
Reading…
Quick Start: Cursor / Claude Desktop
{
"mcpServers": {
"aros-cloud-federation": {
"command": "npx",
"args": [
"-y", "mcp-remote",
"https://nexitia.ai/api/mcp",
"--header", "Authorization:${AROS_AUTH}"
],
"env": {
"AROS_AUTH": "Bearer ak_live_your_api_key_here"
}
}
}
}Note the colon has no trailing space in Authorization:${AROS_AUTH} — mcp-remote splits header arguments on whitespace, so the spaced form is truncated.
Arguments are visible to every user on the machine via the process list. On a shared workstation, put the header in a file instead and pass --header-file — one Name: value per line.