Give agents useful tools
MCP servers
Let your AI agent look up a customer, read a ticket, or update a record. With the right tools, auth, and permissions in between.
Scoped access. Clear tool schemas. Your source code.
Explore MCP development
MCP and integration engineering
We connect AI to the systems
that actually run your business.
You already have the models. We build the plumbing that gets them into production: MCP servers, API integrations, ingestion pipelines, and RAG systems. Scoped in days, shipped in weeks, and the source code is yours.
Bring one workflow. We’ll help you scope the next step.
Systems we connect
Salesforce
HubSpot
Dynamics 365
Odoo
Zendesk
Postgres
Slack
Notion
Airtable
Sheets
n8n
Make
ZapierModels and tooling we build with
Claude
GPT
Gemini
Llama
Mistral
DeepSeek
Qwen
Perplexity
MCP
Hugging Face
LangChain
Ollama
Qdrant
Pinecone
Model agnostic, and platform agnostic. If it has an API, a database, or a file drop, we can
integrate it.
What we build
The missing connection.
Built around your business.
Four ways to connect your tools, data, and AI. Each starts with a real workflow and ends with software you own.
-
- Keep your systems in sync
API integrations
Connect the tools your team already uses. We handle field mapping, rate limits, retries, and the records that do not match.
Custom APIs and Make, Zapier, or n8n connectors.
Explore API integrations - Make scattered data usable
Data ingestion pipelines
Turn PDFs, inboxes, and exports into structured data. Scheduled, monitored, and designed to handle the same input twice.
Extraction, validation, backfills, and deduplication.
Explore data pipelines - Find answers in your knowledge
RAG systems
Give your team answers grounded in its own documents. We build retrieval, source citations, and evaluations around your real questions.
Your documents. Traceable answers. Measured quality.
Explore RAG development
Illustrative workflows. The systems, permissions, and acceptance criteria are scoped for your project.
How it works
A clear path from
first call to working code.
One focused project. Three concrete deliverables.
Timing depends on scope and system access. We agree it before the build starts.- 01Scope
Map the work
We look at your systems, access, data, and failure cases. You get a written scope, an agreed price, and a clear definition of done.
scope.mdA technical scope you can review - 02Build
Build it together
See a working connection early, then review progress in weekly demos. We test the normal path and what happens when a system fails.
your-repo / mainWorking software in your repository - 03Hand over
Make it yours
Your team gets the source, deployment instructions, and runbooks. Keep us involved for changes or take it in house. You choose.
runbook.mdSource, docs, and a handover session
Recent work
Workflows we built.
Real engagements, with the systems named and the numbers measured. Client names withheld, everything else is what happened.
B2B SaaS 62%
An MCP server that let a support agent stop reading and start acting
of tier-1 tickets now closed by the agent without a human touching them
Connected
Read the build →
Read the build → Manufacturing and distribution 9 hours → 4 minutes
A NetSuite and Salesforce sync that survived quarter-end
Time from a closed deal in Salesforce to a sales order live in NetSuite
Connected
Read the build →
Read the build → FAQ
Before we build.
What is an MCP server, and do we actually need one?
MCP is the standard way to give an AI agent real tools: read this record, file that ticket, run this query. You need one when an agent has to act inside a system rather than just talk about it. If your use case is answering questions over documents, you probably want RAG instead, and we will tell you that on the scoping call rather than sell you a server.
How long does a build take?
Scoping takes days. Most integrations and MCP servers ship in two to six weeks depending on how cooperative the target system is. Legacy SOAP endpoints and portals without an API take longer, and the scoping spec says so before you commit.
Do we own the code?
Yes, all of it. Source, tests, docs, and runbooks land in your repository. There is no proprietary runtime to keep paying for and no hosted middleware you cannot leave. If you want to take it in house on day one, the handover is designed for that.
Which systems do you connect to?
Salesforce, HubSpot, NetSuite, SAP, Dynamics 365, Oracle, Odoo, Postgres, Stripe, Slack, Notion, Airtable, Google Workspace, and the long tail of internal APIs. If a system has documentation, we can integrate it. If it has no API, we scope extraction from files, portals, or the database directly.
We already run n8n, Make, or Zapier. Can you work with that?
Yes, and often that is the right answer. We build inside your existing automation stack when it fits, and we build custom connectors for Make, Zapier, and n8n when the node you need does not exist. Marketplace publication is subject to the platform’s review. We only recommend custom code when the no-code path would cost more to maintain.
What if we only want advice, not a build?
Start with a 15-minute introductory call to discuss the workflow and whether we can help. If detailed scoping is needed, we agree on that engagement separately. The resulting technical spec and quote are yours to keep whether you build with us or take it in house.