Construction technology companies
Integration and MCP engineering for construction software teams
Your customers expect your product to work with the systems they already run: Procore, Primavera P6, Autodesk and their accounting software. We build those connections, the MCP servers that let AI agents use them safely, and the custom features around them, working alongside your engineering team as a partner.
The challenges we hear
Every customer runs a different stack
One customer is on Procore and Sage, the next on Autodesk and QuickBooks, and a third schedules in P6. Each integration has its own auth model, data shapes and rate limits, and building them all pulls your team off the core product.
Construction APIs are large and uneven
Platforms like Procore expose a very wide API surface, and schedule data often arrives as XER files rather than through an API. Knowing which endpoints matter and how the records relate takes domain knowledge most product teams have to learn the hard way.
AI features need tools, not just a model
An assistant inside your product is only useful if it can read and act on real project records. Exposing thousands of operations to a model at once overwhelms it, so the tools need routing, scoping and clear descriptions.
Agent access has to be governed
Your customers' IT and security teams will ask what an agent can touch, under whose credentials, and where the record of each call lives. Least privilege, auth injection and telemetry have to be designed in, not added after a pilot.
Construction semantics get lost in translation
Cost codes, commitments, change orders, retainage, WIP and critical path mean specific things to contractors. Mapping them wrong between systems produces numbers your customers will not trust.
What we build for you
Construction data models and embedded analytics
Lakehouse and semantic models for construction data on Microsoft Fabric and Power BI, with the WIP, cost and schedule definitions contractors expect.
Workflow nodes and automation connectors
Custom nodes and connectors for automation platforms such as n8n, so your customers can wire your product into their own workflows.
Integrations with the systems your customers run
Connectors to Procore, Primavera P6, Autodesk, HCSS, Sage, QuickBooks and CRMs, with field mapping, crosswalks and exception handling so records that do not match are flagged instead of dropped.
MCP servers and agent tooling
MCP servers for construction systems, tool routing for large APIs, and a gateway layer with auth injection and telemetry, so agents in your product call scoped tools and every call is recorded.
Product features built alongside your team
Agent workflows, admin portals and data features built to your architecture and handed over as code your engineers own, as we did with the Connect scheduling platform for Syncify.
Use cases
- Built and shown
MCP servers for Procore, Primavera P6 and other construction systems
An MCP server exposes a construction system's API as tools an AI agent can call, with scoped permissions and a log of every call.
- Built and shown
AI assistant for project drawings, specs and documents
Ask questions of a project's drawings, specs and meeting notes and get answers that cite the file and passage they came from.
- Built and shown
AI schedule builder for CPM schedules with evidence and XER export
Specialized agents draft a CPM schedule from project documents and client answers, show the evidence behind each activity, and export XER for the scheduler to review.
- We design and build this
CRM to Procore integration: one job record from pursuit to closeout
Stamp the CRM deal ID onto the Procore project, keep company and contact records aligned, and report pipeline next to backlog without retyping anything.
- Built and shown
Cost-code crosswalk and master data that every report agrees on
Projects, cost codes, and vendors mapped once in versioned reference data, so every report uses the same answer and gaps go back to the owner.
- Built and shown
A construction data lakehouse in Microsoft Fabric
One governed home for construction data: raw sources landed, cleaned, mapped, checked, and published to Power BI and a SQL endpoint.
- We design and build this
ERP migration data mapping without losing history
A versioned map from old ERP to new, reconciled before cutover, so job history, cost codes, and vendors carry over and reports read across both.
- Built and shown
Get Procore data into Power BI, reliably
A repeatable pipeline from the Procore API into a Power BI model, with validation, history and refresh you can rely on.
- Built and shown
AI sales automation: lead capture, research, follow-ups and proposals
Agents handle the research, scheduling and first drafts around each sales step, a person approves anything customer-facing, and the CRM stays up to date.
- We design and build this
Won deal to project setup across CRM, Procore and accounting
A won deal in the CRM becomes a set-up project in Procore and a job in accounting, with matching identifiers and no re-typing.
Systems we connect
- Procore
- Primavera P6
- XER files
- Autodesk Construction Cloud
- HCSS
- Sage
- QuickBooks Online
- Salesforce
- HubSpot
- n8n
- Model Context Protocol (MCP)
- Microsoft Fabric
- Power BI
- Azure
Proof
- BuildConnect: multi-agent CPM scheduling platform built for Syncify
- BuildProcore MCP tool routing (reference architecture)
- BuildPrimavera P6 MCP server (reference build)
- WalkthroughWalkthrough: Tool Runtime MCP gateway and telemetry
- WalkthroughWalkthrough: custom n8n nodes for Procore, Autodesk, HCSS and Power BI
- CodeOpen source: turn an OpenAPI spec into an MCP server(opens in a new tab)
Frequently asked questions
Do you work as a partner to our engineering team?
Yes. We scope a defined piece of work, such as an integration, an MCP server or a feature, build it to your architecture and conventions, and hand it over as code your team owns. We work to a fixed scope and price, agreed after discovery.
Which construction systems have you built against?
Our builds and reference work cover Procore, Primavera P6 and XER files, Autodesk, HCSS, Sage 100 Contractor, QuickBooks Online, HubSpot and Salesforce. Each work page states its maturity, from production implementation to reference build.
What is an MCP server and why would our product need one?
The Model Context Protocol is an open standard for giving AI agents tools: functions they can call to read or change data in another system. An MCP server for a construction system lets your assistant, or your customers' agents, work with live project records through a defined, scoped interface instead of ad hoc API calls.
How do you keep agents from doing too much?
We design tools to be read-only by default, keep write actions scoped and explicit, inject credentials through a gateway rather than handing them to the model, and log every tool call. Large APIs are routed so the model sees only the tools relevant to the task.
Can you work with an API we have not seen before?
Usually. If the system publishes an OpenAPI specification, we can generate and trim an MCP server from it as a starting point, then add the construction-specific mapping and governance by hand. Discovery tells us how much of the API is reachable and well documented.
Next step
Which report or workflow would you like to improve?
Tell us what your team does today, which systems are involved, and what you want to change. We'll discuss whether there is a practical fit.
Prefer email? charley@buildflows.ai