MCP Server Development
Give AI the Tools to Act
Model Context Protocol servers that connect AI assistants to business systems through safe tools, clear auth, observability, and governance your team can operate.
When MCP Work Fits
When assistants need governed actions on your data, not copy-paste.
Generic LLM chat can't open tickets, query orders, or update records without well-defined tools, permissions, and audit trails.
Ad hoc RAG isn't enough
Agents need transactional tools with guardrails alongside document search.
Security and tenancy
Each tool call must respect roles, scopes, and PII policy.
API sprawl behind the model
Normalize messy backends into coherent MCP resources.
Reliability under real use
Timeouts, retries, and user-visible errors need design.
Evaluation & drift
You need to know when tool behavior or data quality regresses.
Operational ownership
Someone must run, version, and patch MCP deployments.
Production Mindset
Agents wired like services, not demos.
We bring API integration discipline, auth patterns, and logging culture from years of shipping business systems before assistants became the interface.
Established Technical Partner
Two-plus decades shipping web platforms across industries and stacks.
Senior-Led Delivery
Engineering and architecture leads stay on the project after the pitch.
One Accountable Team
Strategy, design, engineering, and support work from the same plan.
How We Build MCP
Threat model, tool design, ship, observe.
We narrow initial tools to high-value, low-risk actions, then expand with telemetry proving safety.
Use case & policy
Allowed actions, data classes, and human-in-the-loop triggers.
Tool contracts
Schemas, examples, and validation for stable model behavior.
Implement & harden
MCP server, auth, rate limits, and structured errors.
Operate
Metrics, tracing, and versioned rollouts.
Relevant Work
AI tool and MCP programs.
AI tool and integration builds selected for real production use, policy compliance, and measurable team impact.
Stack
Language-agnostic MCP with your existing services.
TypeScript, Python, or Go workers, based on your ops and latency needs.
MCP protocol
Resources, tools, and prompts with clear capability boundaries.
Identity & auth
OAuth, service accounts, and per-session scoping.
Connectors
CRM, commerce, ticketing, and internal databases via owned APIs.
Observability
Structured logs and traces per tool invocation.
Safety patterns
Confirmation steps, dry-run modes, and kill switches.
Deployment
Containers, serverless, or VPC patterns sized to your security team.
Ways to Work Together
Prototype, MVP server, or platform program.
Start with a focused feasibility spike or go straight to a production roadmap, scoped to your team's readiness and compliance posture.
Feasibility spike
Prove one tool against staging data with evaluation harness.
MVP MCP server
Production-hardened initial toolkit with docs.
Agent platform layer
Shared auth, registry, and governance across teams.
Ongoing iteration
Monthly capacity for new tools and model upgrades.
Start With the Problem
Exploring MCP for your internal or customer assistants?
Start with the systems, policies, and allowed actions. We'll help you scope tools that ship safely.
Related Solutions
Orchestration, RAG, data apps, and the custom software hub.
MCP servers pair naturally with multi-agent programs, retrieval layers, and database-backed operational tools.
AI agent orchestration
Hierarchical specialists wired into CRM, CMS, and ops—with human-in-the-loop governance.
RAG development
Retrieval-augmented generation grounded in your documents—with chunking, evaluation, and governance.
Database-driven web apps
Operational applications on reliable data models, workflows, and reporting.
Custom software development
Custom platforms, integrations, and operational software—the custom software pillar hub for workflow-heavy teams.