Platform / MCP
Give your AI hands.
Model Context Protocol (MCP) is the open standard that lets AI models read and act on your real systems — CRM, databases, file stores, internal tools. We build MCP servers and integrations so your AI works with live business data instead of guessing from memory.
— MCP · CLAUDE · N8N · POSTGRES · TYPESCRIPT
Why this platform
Why teams choose it
An Open Standard, Not a Walled Garden
01MCP is an open protocol backed by Anthropic and adopted across the AI ecosystem. Integrations you build today work with the models you choose tomorrow.
AI on Live Data
02Without MCP, AI answers from training data. With it, Claude queries your actual CRM, inventory, and finance systems — so answers reflect this morning, not last year.
One Integration, Many Uses
03An MCP server for your database serves every AI workflow you build afterward — reporting, support, ops. Build the connector once, reuse it everywhere.
Your Keys, Your Servers
04MCP servers run on your infrastructure with your API keys. Credentials and customer data stay inside your perimeter, with scoped permissions per tool.
Fixed-Price Build
05MCP integration follows our standard model: $7,500 one-time build, live in 30 days, ongoing cost limited to your model provider at $30–$150 a month.
23+
HRS / WEEK GIVEN BACK
$42k
ANNUAL LABOR RECOVERED
30
DAYS TO LIVE
What we build
Capabilities we ship
Custom MCP Server Development
01Purpose-built MCP servers for your proprietary systems — internal APIs, legacy databases, industry software — so AI can read and write them safely.
CRM & Database Connectors
02Salesforce, HubSpot, Postgres, NocoDB and more exposed as MCP tools with scoped read/write permissions your AI can use on request.
Agent Tool Design
03Well-designed tools are the difference between an agent that works and one that flails. We define schemas, guardrails, and error handling for every tool.
Workflow Integration
04MCP wired into n8n and agent pipelines, so scheduled and event-driven automations get the same live-data access as interactive chat.
Security & Access Control
05Per-tool permission scoping, audit logging, and human approval gates on destructive actions. AI gets capability without getting the keys to everything.
Five phases. Thirty days to live.
Our process →01
Discover
Ops audit, process maps, ROI ranking.
02
Design
Architecture and tool picks — approved first.
03
Build
Constructed and tested against every edge case.
04
Launch
Deployment, training, real adoption.
05
Optimize
Monitoring, monthly reports, new wins.
Questions
MCP — FAQ
What is the Model Context Protocol?
MCP is an open standard for connecting AI models to external systems — databases, APIs, file stores, business apps. It defines how a model discovers and calls tools, so one integration works across AI clients instead of being rebuilt per vendor.
Why does my business need MCP integration?
Because AI without your data is generic. MCP lets Claude answer from your actual pipeline, inventory, and customer records, and act on them — updating a deal, filing a ticket, generating a report. That is where the measurable hours come back.
Is it safe to let AI touch my systems?
With proper scoping, yes. Each MCP tool exposes specific, limited operations — we scope permissions per tool, log every call, and gate destructive actions behind human approval. The AI gets a defined toolbox, not root access.
What does an MCP integration cost?
A typical build is $7,500 one time, live in 30 days. Running cost is your model provider — $30 to $150 a month on your own keys. Servers run on your infrastructure, often the same ~$20/mo VPS that hosts your automation stack.
Can MCP work with our legacy or industry-specific software?
Usually. If the system has an API, a database we can read, or even structured file exports, we can wrap it in an MCP server. Legacy systems are often the highest-ROI targets because they generate the most manual work.
Keep exploring
Related platforms
Where we go from here
Start with a call.
Thirty minutes, no pitch deck. We map your operations, find the friction, and show you where automation actually earns its keep. If there's no fit, we'll say so.
No subscription.
No lock-in.
No surprise invoices.