MatrixKloud
Services · MCP Server Setup·Accepting clients

One integration layer for every tool and assistant.

MatrixKloud designs, builds, and operates custom MCP servers that connect your business tools, pipelines, and AI assistants into a maintained, reusable operational layer — with proper auth, scope design, and long-term support.

EngagementAudit / Project / Retainer
ResponseWithin 24 hours
CoverageWorldwide
StackLinux · Node · PHP · Docker

What we help with

01

Architecture & scope

› MCP opportunity review against real operational pain› Target architecture and integration layer design› Auth, scope, and permission modeling› Environment, secrets, and deployment strategy
02

Custom MCP server implementation

› MCP servers on Cloudflare Workers, Node, or serverless› Tool integrations (Google Workspace, GitHub, CRMs, internal APIs)› Infrastructure integrations (deploys, databases, monitoring)› Structured tool definitions with proper input validation
03

Assistant-ready workflows

› Interfaces designed for reliable LLM tool use› Guardrails, audit logs, and scoped permissions› Composition with existing automation and n8n workflows› Operational observability and rate limiting
04

Managed operations

› Monitoring, error alerting, and uptime SLAs› Version control, change review, and deploys› Documentation and integration runbooks› Long-term maintenance under a retainer

Common reasons clients reach out

›Too many disconnected tools and scripts with no unified interface
›Interest in AI and assistant workflows without a safe integration layer
›Repeated manual coordination that should sit behind a real API
›Existing integrations that are fragile, undocumented, or unscoped
›A need to expose internal operations to assistants with proper guardrails
›Growing complexity that needs a maintained foundation — not more scripts

Who this is for

Businesses growing in system and integration complexityTeams standardizing internal workflows across multiple toolsOrganizations preparing for AI-assisted operations in a controlled wayCompanies that want a maintained integration layer, not a prototype

What the outcome looks like

A maintained integration layer across your business systems
Safe, scoped access for internal tools and AI assistants
Reusable workflows that compose across services
Observable operations with audit logs and alerting
A foundation the business can extend on — not a throwaway prototype

How we approach this work

01
Integration & operations review
Understand current tool landscape, manual handoffs, and where an MCP integration layer will create real operational leverage.
02
Architecture & scope
Design the MCP server shape, tool definitions, auth model, and deployment strategy — aligned with your existing cloud operations.
03
Implementation
Build the MCP server with proper input validation, observability, and auth — delivered incrementally and tested against real assistant and tool use.
04
Managed operations
Operate the MCP layer under a retainer: monitoring, maintenance, tool additions, and ongoing evolution as the business grows.

Build an integration layer your business can grow on.

If repeated manual coordination and disconnected systems are slowing your operations down, MatrixKloud can design, build, and operate an MCP server setup that connects your tools, workflows, and assistants — as maintained infrastructure, not a prototype.

Start with an audit →
engagement.init
// MCP Server Setup
const scope = await audit(env);
const plan  = diagnose(scope);
await execute(plan, { safe: true });
matrixkloud.comstatus: ready