Assembling Commerce
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Turn databases into secure tools for AI Agents. We leverage the GCP Model Context Protocol (MCP) Database Toolbox to make your data structures safely understandable and actionable for autonomous LLMs.
Expose your Spanner, BigQuery, or Cloud SQL databases securely to AI models via unified, safe tool protocols.
Enable AI agents to dynamically explore table relationships and compile valid SQL schemas with zero human hand-holding.
Enforce strict read-only parameters, row limits, and SQL injection firewalls to let agents safely execute database tasks.
Reduce backend development workloads by giving AI models secure, autonomous read and write capabilities.
A modular, vendor-neutral approach to your core data infrastructure.
Secure protocol database endpoints
Dynamic table discovery for LLMs
Model Database Execution Sandbox
100% SQL Injection & Crash Shields
Exposes database engines securely to AI agents. Select a mock database task below to see the exact MCP JSON-RPC payload sent by the agent, and Spanner's safe, sandboxed response!
--> {"jsonrpc":"2.0",
"method":"tools/call",
"params":{
"name":"run_safe_query",
"arguments":{
"sql":"SELECT sum(total) FROM orders WHERE date >= 2026-04-01"
}
}}<-- {"jsonrpc":"2.0",
"result":{
"content":[
{"type":"text", "text":"Monthly Revenue: $482,910.00"}
]
}}