Connect AI to Every Tool in Your Stack

We build MCP servers and orchestration layers that let AI systems read from your CRM, send email, update records, create invoices, and operate across your internal APIs without brittle one-off glue code.

Toronto-based · Fixed-scope integration work · Source code included

Why MCP matters

AI is only operationally useful when it can act on live systems. MCP gives your models a consistent interface for reading data, taking actions, and coordinating work across the tools your team already depends on.

That means less vendor lock-in, cleaner architecture, and a path to connecting Claude, GPT, Gemini, or any MCP-compatible agent to the same underlying business capabilities.

Custom MCP servers

We build servers for proprietary systems, internal APIs, and industry-specific tools that do not already have MCP support.

Multi-tool orchestration

We design workflows where an agent can read from one system, decide what to do, and take action across several others in one run.

Operational safeguards

Authentication, logging, rate limiting, and fallback behavior are part of the implementation, not an afterthought.

Common integrations we build

IntegrationWhat it enablesExample use case
CRMRead and update contacts, deals, and activitiesAuto-log notes, update stages, and create follow-ups
ERP / InventoryQuery stock, create purchase orders, and sync recordsTrigger reorders before stockouts happen
AccountingCreate invoices and reconcile transactionsGenerate invoices as soon as work is completed
E-commerceRead orders, listings, and inventoryCoordinate catalog, fulfillment, and support workflows
CommunicationSend messages and manage threadsPost reports, triage inboxes, and notify teams
Internal APIsExpose proprietary systems to AI agentsOperate custom workflows without manual middleware

Our process

Integration Mapping

3-5 days

We map your tools, data flows, and required actions. This determines which systems can use existing MCP servers and which need custom work.

Server Development

1-3 weeks per server

We build and test MCP servers with authentication, error handling, rate limiting, and logging in place from the start.

Workflow Orchestration

1-2 weeks

We connect the servers to your AI agents and validate the end-to-end workflow against real operational scenarios.

Monitoring and Handoff

1 week

We document the system, add operational monitoring, and hand over source code plus runbooks to your team.

Security and compliance

  • OAuth 2.0 or equivalent authentication for every integration
  • Least-privilege access for each agent and tool connection
  • Audit logging for actions, timestamps, and execution context
  • Rate limiting and circuit breakers to contain failures
  • Encryption in transit and at rest for sensitive data

Investment

ScopeTypical investmentTimeline
Single MCP server (standard API)$3,000-$5,0001-2 weeks
Single MCP server (complex or custom API)$5,000-$10,0002-3 weeks
Multi-tool integration (3-5 servers + orchestration)$12,000-$25,0004-8 weeks

Need help deciding what to connect first?

Start with the workflow that already costs your team time every week. We can scope the MCP servers and orchestration required, or begin with an AI strategy audit if you need the roadmap first.