We take your database and build a production-grade API layer on top — REST, GraphQL, and MCP-ready — so AI agents can interact with your platform at scale.
Your MCP server lets any LLM agent discover available actions, understand your data model, and make authenticated calls. No custom integration needed.
Works with OpenAI, Anthropic, Google, and any MCP-compatible agent framework out of the box.
Human clicks are becoming agent API calls. Most platforms aren't ready.
Gartner predicts agent-driven automation will handle the majority of routine digital interactions within two years.
Booking engines, marketplaces, SaaS platforms — built for browsers, not for autonomous agents that need structured, authenticated data access.
A single user sends one agent that makes hundreds of API calls. Your infrastructure needs to handle an order-of-magnitude more requests with sub-second latency.
We connect to your existing data layer and build everything above it.
We plug into your existing database — PostgreSQL, MySQL, MongoDB, or any other store.
We generate a full API stack: REST + GraphQL endpoints, caching, auth, rate limiting, monitoring.
Horizontal scaling, load balancing, edge caching. Ready for millions of agent requests per day.
MCP server included. Agents discover and use your API natively. Documentation auto-generated.
A complete, production-grade API infrastructure layer.
Auto-generated from your data schema with full CRUD, filtering, pagination, and field selection.
Model Context Protocol endpoint so LLM agents can discover and interact with your data natively.
OAuth 2.0, API keys, RBAC, row-level security. Enterprise-grade from day one.
Redis-backed caching layer with intelligent invalidation. Sub-millisecond reads for hot data.
Automatic horizontal scaling. Handle traffic spikes from agent swarms without breaking a sweat.
Per-agent, per-tenant rate limits with tiered pricing support built in.
Real-time dashboards: who's calling what, latency percentiles, error rates, usage patterns.
OpenAPI specs, interactive playground, and agent-friendly descriptions generated automatically.
There's a difference between "technically accessible" and "actually usable by AI."
Expose your data as endpoints. Machines get URLs and JSON schemas. They can call them, but they don't understand them. Every integration is hand-wired.
Gives agents semantically described tools they actually understand. An agent doesn't call POST /bookings and hope the payload is right. It invokes create_booking knowing what the parameters mean, what constraints apply, and what success looks like.
The first question everyone asks: "So you want access to our production database?" No. Here's how it actually works.
We connect to a read replica. Your production instance is never touched. Writes go through your existing application layer. AgentGate only reads.
For near-realtime freshness, AgentGate taps your database's native change stream: WAL on Postgres, binlog on MySQL. Sub-second cache invalidation, no polling, no extra load on your primary.
AgentGate runs entirely inside your infrastructure. Nothing transits our systems. Your security team gets full network control, your compliance team gets a clean perimeter.
SOC 2 Type II audit in progress. DPA available on request.
Every database carries years of institutional knowledge buried in column names nobody documented.
st_cd, crt_dt, u_id. Perfectly clear to the team that wrote the schema in 2014. Completely opaque to everything else.
AgentGate's Schema Intelligence layer reads your data model: column names, types, foreign keys, value distributions. It produces a semantic representation with normalized field names, inferred enumerations, typed relationships, and plain-language descriptions of what each action does.
If you've ever worked with MDM platforms that make sense of enterprise data warehouses, this is the same idea applied to your API surface. Automated data stewardship, but for AI-native consumption.
Twenty years of financial exchanges, social platforms, city-wide transport telemetry.
Cassandra, Kafka, Spark, Hazelcast, and custom storage built because nothing off the shelf could keep up. Systems where "five nines" isn't a slide in a pitch deck, it's what keeps the lights on.
Cache consistency models proved under trading workloads. Scaling patterns that survived traffic nobody planned for. Data distribution strategies shaped by years of production incidents and post-mortems.
When an AI agent fires 100x the API calls a human would, that's not a new problem for us. We've handled worse. We just didn't call it "agentic" back then.
Two companies, decades of experience shipping platforms at scale.
Led by a former CTO who scaled engineering organizations to 500+ people in fintech. Deep expertise in trading platforms, high-throughput APIs, and distributed systems that handle millions of transactions daily.
A seasoned software engineering firm with a strong track record in backend systems, cloud infrastructure, and API development. The team that builds it, deploys it, and keeps it running.
Get a free assessment of your platform's agent-readiness.
We'll show you exactly what it takes to go from browser-only to API-first.