CastleBytes
Specialist data engineering · MCP & AI agents

Connect your APIs and data to AI agents, securely, in your own cloud.

CastleBytes is a specialist data-engineering practice. We deliver a drop-in that connects your existing systems and data to AI agents through MCP, with authentication and observability handled properly.

It runs inside your own cloud, so your data never leaves your environment. Vendor-neutral and standards-based — no lock-in.

Book an intro call See how it works
What we deliver
01 MCP integration · any language
02 MCP authentication · OIDC
03 Agentic orchestration · your platforms
04 LLM-neutral · multi-provider, with fallback
05 Agent observability · your dashboards
Standards-based · MCP · OIDC · OpenTelemetry
100B+
records engineered & tuned
~40%
lower agent token load
~30%
lower p95 agent latency
In your cloud
your data never leaves
01 — What we do

Your systems, connected to agents — the right way.

Five focused services that take your existing stack agent-ready, without a rewrite, without moving your data, and without tying you to any one vendor.

01

MCP Integration, Any Language

Connect your existing services to AI agents through MCP. No rewrite of your stack. Whatever your APIs are built in, they become agent-ready in place.

MCP · Any language · No rewrite
02

MCP Authentication (OIDC)

Secure, standards-based authentication for your MCP endpoints. Identity and access handled to spec with OIDC. Built in, not bolted on.

OIDC · Standards-based · Scoped access
03

Agentic Flow Orchestration

Orchestrate agent workflows across the platforms you already run: Databricks, Snowflake, AWS, GCP, Azure. Vendor-neutral, so it works with whatever you use, with no lock-in.

Databricks · Snowflake · AWS · GCP · Azure
04

Agent Observability

Traces land in the dashboards you already use: Datadog, New Relic, Grafana. OpenTelemetry-based and emitted with your own tags, so agent activity shows up with your conventions and no new dashboard to learn.

Datadog · New Relic · Grafana · OpenTelemetry
05

Yearly Support Contracts

Ongoing support and maintenance for everything we ship, so your integration keeps pace with your platforms and the agents running on top of them.

Support · Maintenance · Recurring

Vendor-neutral by design.

Neutral on both axes: your cloud and your models. Runs across AWS, GCP, or Azure, works with any LLM, and fails over if a provider goes down. No platform lock-in, no model lock-in.

MCP/ OIDC/ OpenTelemetry/ Claude/ GPT/ Qwen/ DeepSeek/ Databricks/ Snowflake/ AWS/ GCP/ Azure/ Datadog/ New Relic/ Grafana/
02 — How it works

Runs in your cloud. Your data stays put.

The integration is a drop-in that fits into any cloud and runs inside your own environment — connecting AI agents to your systems in place. Nothing about your data leaves your control.

In your cloud
data never leaves
Any LLM
multi-provider, fails over
No lock-in
cloud or model
01

Drop it into your cloud

It deploys into your own environment and fits into any cloud you already run. No data leaves your control.

02

Connect your systems to agents

Your existing APIs and data become available to AI agents through MCP: no rewrite, no data movement, with auth handled.

03

Observability in your own dashboards

Agent traces flow into the tools you already use, tagged with your conventions. Nothing new to learn.

03 — Selected outcomes

Measured results, not promises.

AI · MCP

Agent integration with a memory layer

Connected internal tools and data to AI agents through MCP, backed by a memory layer that cut agent token load ~40% and p95 latency ~30%, with authentication and audit on every call.

— OIDC auth on every endpoint— Token & latency reductions, measured
Data Engineering

Pipelines tuned across 100B+ records

Architected and tuned large-scale data engineering across hundreds of billions of records, cutting runtime and cost while keeping data governed, queryable, and ready for agents.

— Task-level performance tuning— Governed, lineage-tracked data
Orchestration

Vendor-neutral agent orchestration

Orchestrated agent flows spanning multiple data platforms and clouds, so the same integration runs wherever the stack lives (Databricks, Snowflake, or the major clouds) with no lock-in.

— One integration, many platforms— Runs inside the customer’s cloud
Observability

Traces in the dashboards they already had

Emitted OpenTelemetry traces with the customer’s own tags so agent activity showed up in Datadog and Grafana with zero new tooling — their conventions, their dashboards, day one.

— OpenTelemetry, your tags— No new dashboard to learn
Works across Databricks · Snowflake · AWS · GCP · Azure · Datadog · New Relic · Grafana · MCP · OIDC · OpenTelemetry
04 — How engagements work
01
Discovery & Assessment

A paid assessment of your systems, platforms, and goals: what to connect, how, and the risks to plan around.

02
Deploy & Integrate

Drop the integration into your cloud and connect your systems to agents, with authentication and observability wired in.

03
Yearly Support

A recurring support contract keeps everything maintained as your platforms and the agents on top of them evolve.

Engagement models

Discovery & Assessment paid, fixed scope
Deploy & Integrate project
Yearly Support recurring

Deliverables you can expect

Assessment & integration plan
The drop-in, deployed in your cloud
Auth, observability & yearly support
05 — About

Data engineering, done right.

CastleBytes is a specialist data-engineering practice. We connect your existing systems and data to AI agents through MCP, with authentication and observability done properly. Across past engagements we’ve architected and tuned data platforms spanning hundreds of billions of records.

Our work is vendor-neutral and standards-based: it runs in your cloud, across the platforms you already use, with no lock-in. The goal is simple — your agents, connected to your systems, with your data never leaving your control.

Connected internal systems to AI agents via MCP, cutting token load and latency.
Engineered & tuned data platforms across 100B+ records.
Standards-based auth (OIDC) and OpenTelemetry observability on every call.
Vendor-neutral across Databricks, Snowflake, AWS, GCP, and Azure.
LinkedIn GitHub
Let’s talk

Start with a 30-minute intro call.

We’ll align on what you want connected to agents, the platforms you run, and where we can help fastest — no prep required.

Book an intro call
01 Your systems & goals: what you want connected to agents
02 Platforms & fit: Databricks, Snowflake, AWS, GCP, Azure, whatever you run
03 Auth & observability: OIDC, your own dashboards, your conventions
04 Scope & yearly support: assessment, deployment, and ongoing support