Service / MCP
AI that knows your business.
Model Context Protocol implementation that gives AI secure, structured access to your CRM, databases, documents, and APIs. We are early MCP specialists — custom server development, Claude integration, and agent orchestration without exposing sensitive data.
— MCP · CLAUDE · SALESFORCE · POSTGRES
What it looks like running.
Not a dashboard login we control —
an instance you own.
MCP Integration — on self-hosted n8n — the kind of build that ships in week one.
WKS
NOT MONTHS TO INTEGRATE
100%
ACTIONS AUDIT-LOGGED
0
HALLUCINATED ANSWERS
What you get
What's in the build
One-time fee. Documented. Owned by you.
Custom MCP Server Development
01Connectors built for your infrastructure — databases, APIs, file systems, SaaS apps — giving AI models structured, permissioned access to real data.
Claude MCP Integration
02Implementations that let Claude query your business systems, execute workflows, and pull real-time data instead of guessing from training data.
Pre-Built Connectors
03Salesforce, HubSpot, Google Drive, Slack, PostgreSQL, MySQL, MongoDB, and internal APIs. Connect AI to your CRM in days, not months.
Security & OAuth
04OAuth 2.0 flows, API key management, SSO integration, and tool-level permissions. Your AI gets exactly what it needs — nothing more.
Agent Orchestration
05Multi-agent systems where specialized agents collaborate via MCP, each with appropriate tool access for complex enterprise workflows.
Use cases
Where it earns its keep
AI + Salesforce
01Sales assistants that pull prospect history before calls, support AI with full customer context, and agents that update records from email threads.
AI + Document Library
02Assistants that answer questions by searching internal documentation, pull relevant contract templates, and synthesize research across files.
AI + Databases
03Analytics assistants that query your warehouse on demand, service AI with live order and inventory data, and finance AI with real-time reporting.
AI + Internal APIs
04Proprietary systems exposed to AI through custom MCP servers — with granular permissions and a full audit trail on every call.
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 Integration — FAQ
What is the Model Context Protocol?
MCP is an open standard developed by Anthropic that lets AI systems securely connect to external data sources and tools. Think of it as a universal adapter: instead of custom integration code for every system, your AI speaks one protocol to your CRM, databases, documents, and APIs.
How is MCP different from RAG?
RAG is read-only — good for document Q&A, but the AI cannot act. MCP is bi-directional: the AI can read your data and take actions, with tool-level permissions controlling exactly what. For AI that updates records, executes workflows, or queries live systems, MCP is the right architecture.
Is it secure to give AI access to our systems?
With MCP done properly, yes. Each tool gets granular permissions, authentication runs through OAuth or scoped API keys, every call is audit-logged, and sensitive writes can require human approval. The AI sees what you allow and nothing else.
Does MCP only work with Claude?
No. MCP is an open standard with growing support across providers — we build vendor-agnostic implementations that work with Claude, GPT, Gemini, and open-source models. Your integration layer outlives any single model choice.
What does an MCP project cost and how long does it take?
A typical integration build is $7,500 one time, live in about 30 days, with ongoing costs limited to your model provider at $30 to $150 a month. Because MCP standardizes the plumbing, what used to take months of custom API work now takes weeks.
Keep exploring
Prove the math
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.