API integrations, Model Context Protocol servers and delegated authentication — the plumbing that lets an agent actually do something instead of politely describing what someone else should do.
A booking agent that cannot see real availability is a suggestion engine. A support agent that cannot open a ticket is a chat window. The moment you want AI to take an action rather than produce text, you are in integration territory — and that is where most of the effort, and most of the risk, actually sits.
The work is rarely elegant. Your CRM calls it a contact, your billing system calls it a customer, your dispatch tool calls it a job, and the same person exists three times with three different keys. One vendor rate-limits at sixty requests a minute. Another sends webhooks twice. A third has an API documented in 2019 and changed in 2023.
We build the layer that absorbs all of that: typed tool interfaces the model can reason about, credentials scoped to exactly one job, writes that cannot duplicate on retry, and failures that surface as alerts to your team rather than errors to your customer.
Model Context Protocol turns a system into a set of tools any model can discover and call, with typed parameters and descriptions written for a reader that reasons about them. Building one MCP server for your ordering system means every agent afterward inherits that capability instead of reimplementing it.
We design tools narrow. One clear job each, small parameter surfaces, validation before execution, and error responses phrased so the model can recover rather than retry blindly. A well-designed tool layer removes more agent misbehavior than any amount of prompt tuning.
An agent acting on your behalf needs an identity, not a shared password. We implement proper delegated auth — authorization code flow with PKCE where it applies, refresh-token rotation, and scopes narrowed to the specific operations the workflow performs. If an agent only needs to create calendar events, it does not get mailbox access.
Credentials live in a secrets manager. Never in a prompt, never in a workflow node, never in a repository. Every call is attributable, and revoking access is a single deliberate action rather than an archaeology project.
Distributed systems deliver twice, out of order, and sometimes not at all. Inbound webhooks get signature verification, replay protection and deduplication before anything downstream reacts. Outbound writes carry idempotency keys, so a retried booking resolves to one appointment rather than two.
Retries use exponential backoff with jitter, circuit breakers stop hammering a service that is already struggling, and work that genuinely cannot complete lands in a dead-letter queue with enough context to be replayed once the cause is fixed.
Sometimes two platforms simply disagree about reality. One allows multiple contacts per account, the other does not. One stores addresses as a single string, the other as seven fields. A middleware service that owns the mapping, the identity resolution and the conflict rules is far better than scattering that logic across a dozen automation nodes.
We build with the lightest tool that will hold. A no-code workflow in n8n, Zapier or Make is right for a straightforward hop; a small deployed service is right when the logic is real, state matters, or volume makes per-task pricing painful. We tell you which and why. We integrate what already exists — and build what doesn't.
Orchestration decides what should happen; integration is what makes it happen. Retrieval needs connectors to stay in sync. Conversational agents need calendar and CRM access to close a loop. Pipeline automation is integration wearing a business label. This is the layer everything above it stands on.
It is also where the boundary with engineering blurs, and deliberately so. An agent is only as good as the systems it plugs into. When your stack cannot support the automation, we build the stack — a service, a database, a proper API in front of something that never had one.
The agent never holds a credential and never talks to a vendor API directly. Both of those are deliberate.
We inventory what each platform holds, which one is authoritative for each field, and where the same entity exists under different keys. Most integration pain traces back to skipping this.
30-min call · roadmap deliveredAuth, tool contracts, sync logic and failure handling are built together. We test the unhappy paths deliberately — rate limits, duplicate webhooks, expired tokens, partial writes.
Typically 2–5 weeksVendors change APIs and deprecate versions. Integration health, error rates and queue depth stay monitored, and we handle breaking changes before your workflows notice them.
Ongoing partnershipModel Context Protocol is a standard way to expose a system's capabilities to an AI model as typed, discoverable tools. The practical benefit is reuse: build one MCP server for your ordering system and every agent you write afterward can use it, with its own scoped credentials, instead of each project inventing its own glue that nobody else can maintain.
Usually, though the method matters. Preferred routes are a partner or internal API, a database replica, a file or SFTP export, or an event feed. Screen-level automation is a last resort because it breaks whenever a vendor changes a layout. We tell you which route we would use and how fragile it is before the work starts, not after.
Secrets live in a managed secrets store, never in prompts, workflow nodes or source control. Each integration gets its own credential with the narrowest scope that does the job, rotation is planned from day one, and access is logged. Where a platform supports delegated OAuth 2.0, we use it so the agent acts under a real identity you can revoke.
Idempotency keys on every write, plus deduplication on inbound webhooks. A retried booking, charge or record update resolves to the same single result rather than a second one. This is the failure that quietly damages trust most — two appointments, two invoices, two texts to the same customer — and it is entirely preventable at the integration layer.
The workflow degrades on purpose rather than by accident. Retries use exponential backoff with jitter, a circuit breaker stops hammering a failing service, and work that cannot complete lands in a queue or dead-letter store with enough context to resume. Your team gets an alert; your customer does not get an error.
HubSpot, Salesforce, ServiceNow, Stripe, QuickBooks, Twilio, Slack, Notion and Shopify come up most often, alongside Postgres and Supabase databases and internal services over REST or GraphQL. We integrate with what already exists and build what doesn't — a custom middleware service is normal when two platforms model the same data incompatibly.
Tell us which handoff your team does by hand every day. We'll tell you whether it's an afternoon of integration work or a genuine build — and what it would take either way.
Roadmap delivered · whether or not you build with us