DataGrout is the connectivity and intelligence layer that lets AI agents actually operate inside your enterprise, automating complex multi-step workflows, connecting to any system through a single endpoint, and doing it all with built-in guardrails, persistent memory, and full observability. From data preparation to LLM cost tracking to prompt injection defense, DataGrout turns agents from sandboxed experiments into systems your business can actually depend on.
The Conduit SDK is a drop-in replacement for standard MCP and JSONRPC clients, available in Python, TypeScript, Rust, Elixir, and Ruby. Swap one import line and your agent gains semantic discovery, cost tracking, mTLS identity management, and OAuth 2.1 without changing anything else.
Key capabilities:
Semantic tool discovery across thousands of integrations (SAP, Salesforce, Workday, QuickBooks, HubSpot, and more) via natural language
Verified multi-step workflow planning with Cognitive Trust Certificates, cryptographic proof a plan is cycle-free, type-safe, and policy-compliant before execution
Persistent agent memory backed by a Prolog logic cell, store facts, business rules, and constraints that survive across sessions
Runtime policy enforcement, read-only locks, PII auto-redaction, destructive operation blocking, loop detection
Full LLM observability, cost estimates before execution, itemized receipts after, agent decision traces
Prompt injection and adversarial content detection via Warden
mTLS identity management with the DataGrout CA, no tokens in env vars, no manual rotation
サーバー設定
{
"mcpServers": {
"datagrout": {
"url": "<DATAGROUT_GATEWAY_URL>"
}
}
}