— Synapse in Practice —
One working prototype.
Six blueprints for what's next.
See how teams could use Synapse to turn complex codebases into AI-ready MCP servers in minutes — not months.
— 01 / Working Prototype
Built, demonstrated,
ready for production.
The case below is a working Synapse prototype — a real system, real code, real results. It has been demonstrated to the customer and is staged for production deployment.
Automotive Supply Chain Intelligence
The Starting Point
A team had spent three years building an automotive parts management system — supplier risk scoring, ACORN-based vector search, multilingual query support. The system was powerful but only engineers could use it. Every query required writing Python. Supply chain managers emailed requests and waited.
What Synapse Did
The CLI scanned the codebase, surfaced a report of every callable function — parts search, supplier scoring, crisis triage — and generated a typed MCP server in one build step. The team reviewed the report, selected which functions to expose, and had a working server in a single day. The original system was untouched, and the server worked immediately with any MCP-compatible AI model.
“What would have taken a developer four to six weeks of custom integration work was done in a single day. The team could focus on building the AI experience on top, not the plumbing underneath.”
— 2nd Brain Labs Engineering4–6 weeks → 1 day
Integration Timeline
Zero
Changes to the original codebase
MCP-native
Works with any compatible host
— 02 / The Art of the Possible
Six blueprints,
waiting for the right team.
The scenarios below are patterns the Synapse engine supports today — drawn from real conversations with teams across industries. They are not case studies. They are blueprints, waiting for the right codebase and the right team. If one of these sounds like your world, we would love to build it with you.
Auto Dealership Service Intelligence
The Pattern
Dealership service centers run on DMS platforms that hold everything — vehicle history, bay availability, technician skills, parts inventory — but the data is locked behind screens only back-office clerks know how to navigate. Service advisors toggle between four tools to book a single appointment.
Where Synapse Fits
Synapse could scan the DMS codebase, surface callable functions, and generate a typed MCP server in one build. Once deployed, a service advisor could ask: "Find a brake inspection slot for this VIN on Friday." The system stays untouched. The AI handles the rest.
Health System Scheduling & Clinical Prep
The Pattern
Regional health systems run multi-clinic operations on EHRs that hold provider calendars, patient records, and lab orders — but front-desk staff navigate five screens to confirm one cardiology slot. Providers spend the first minutes of every visit re-reading charts.
Where Synapse Fits
Synapse could analyze the EHR's API layer and generate MCP tools for availability, appointment creation, and history summarization. The front desk could ask: "Find the earliest cardiology slot next week across all clinics." The system stays untouched. The AI handles the rest.
Brokerage Operations Intelligence
The Pattern
Brokerages juggle MLS feeds, CRMs, and showing schedulers across three separate systems. When a buyer walks in asking for two-bedroom condos near downtown with weekend availability, the front desk manually cross-references listings, agent schedules, and access windows — and loses leads.
Where Synapse Fits
Synapse could scan all three codebases and generate a unified MCP server in one build. The front desk could ask: "Find two-bedroom condos under $450K with Saturday showings." The system stays untouched. The AI handles the rest.
Talent Acquisition & Onboarding
The Pattern
Mid-size companies run hiring through an ATS, interviews through calendar tools, and onboarding through a patchwork of IT ticketing, HR portals, and Slack. Recruiters burn hours toggling between four tools instead of actually evaluating talent.
Where Synapse Fits
Synapse could scan the ATS and HR platform codebases, identify key actions, and generate MCP tools in one build. A recruiter could say: "Show me senior React engineers with five-plus years, and schedule panels next week." The system stays untouched. The AI handles the rest.
Customer Support & Order Intelligence
The Pattern
D2C brands handle thousands of support tickets a week across email, chat, and phone. Order data lives in Shopify, tickets in Zendesk, shipping in a 3PL portal. Agents open three tabs and cross-reference tracking numbers while the customer waits on hold.
Where Synapse Fits
Synapse could scan the existing integration layer and generate MCP tools for order lookup, ticket creation, and shipment tracking in one build. Agents could ask: "Pull this customer's last six months — orders, tickets, refunds." The system stays untouched. The AI handles the rest.
Field Service Dispatch & Route Intelligence
The Pattern
HVAC and field service companies juggle dozens of technicians across wide service radii. Dispatch runs on an FSM platform, a shared spreadsheet for locations, and group texts. By mid-afternoon, the schedule is already falling apart.
Where Synapse Fits
Synapse could scan the FSM and job management codebases and generate a unified MCP server in one build. Dispatchers could say: "Find the closest available tech to the emergency call and assign it." The system stays untouched. The AI handles the rest.
— Be the next one —
Make yours the next working prototype.
If one of these scenarios looks like your world, we want to hear about it. Bring your codebase. We will bring the engine.