Backend & Cloud
MCP Server Setup & Management
We set up and operate MCP (Model Context Protocol) servers that expose tools to AI assistants safely—secure connectors, permission boundaries, logging, and deployment patterns included.
Overview
What this service is
This service builds an MCP server that provides controlled tool access for AI assistants and agents, with connectors to your APIs, data sources, and operational systems.
We implement authentication, access control, and audit-friendly logging so tool execution is traceable and permissions are enforced consistently.
You get a deployed, maintainable MCP service with monitoring guidance and documentation for adding or updating tools over time.
Benefits
What you get
Safer AI tool access
Permission boundaries reduce the risk of agents performing unintended actions.
Faster integration of internal systems
Expose tools to assistants without building one-off bespoke integrations each time.
Operational visibility
Logs and audit trails so tool usage is traceable and debuggable in production.
Maintainable tool ecosystem
Add new tools and update existing ones without rewriting the platform.
Better reliability
Retries, error handling, and guardrails so tool calls fail predictably and recover gracefully.
Deployment-ready delivery
Runbook-style guidance for hosting, secrets, and upgrades so teams can operate confidently.
Features
What we deliver
MCP server setup
Build and configure an MCP server aligned to your tool set, runtime constraints, and environment.
Tool connectors
Integrate internal APIs, databases, and services through well-scoped tool definitions with validation.
Auth + permission boundaries
Implement access control patterns and scoped credentials for safe tool execution.
Audit logs + request tracing
Store tool call metadata and processing states so failures can be traced and replayed if needed.
Deployment + secrets management
Deploy via Docker/serverless where appropriate with environment configuration and secret hygiene.
Maintenance and upgrade guidance
Documentation for adding tools, rotating credentials, and upgrading the server safely.
Process
How we work
Discovery
We map the tools, permissions, and environments involved, and define safe execution rules.
Design
We define tool contracts, auth boundaries, logging needs, and operational constraints before implementation.
Implementation
We build the MCP server and tool connectors with validation and error-handling patterns.
Hardening
We validate permission boundaries, failure scenarios, and monitoring so production behaviour is predictable.
Handoff
We deliver runbook notes for operating, upgrading, and extending the MCP server safely.
Tech Stack
Technologies we use
Core
Tools
Services
Use Cases
Who this is for
Internal tool access for assistants
Expose CRM, ticketing, and internal APIs as tools with permission boundaries and audit logs.
Operational automation via AI agents
Let agents trigger controlled workflows (notifications, triage, report generation) safely.
Developer tooling assistants
Expose build/deploy/observability tools with strict permissions and traceable actions.
Document-grounded workflows
Combine retrieval and tool calls to produce grounded answers with controlled actions.
Multi-system orchestration
Coordinate actions across multiple systems with reliability patterns and safe rollback guidance.
FAQ
Frequently asked questions
MCP is a standard way for AI assistants to access external tools and data sources through well-defined interfaces, enabling controlled tool calling and integrations.
Yes. We implement scoped credentials, RBAC patterns, and audit-friendly logging so tool calls are controlled and traceable.
Yes. We can deploy MCP servers via Docker or a managed environment depending on your infrastructure and compliance needs.
Yes. As long as we have access and documentation, we can expose internal systems as tools with validation and safe boundaries.
Yes. We provide runbook-style guidance for upgrades, credential rotation, and adding new tools.
Related Services
You might also need
Regional
Delivery considerations for your region
Compliance & Data (Canada)
For Canadian teams, we focus on practical privacy and security: least-privilege access, clear boundaries, and reviewable operational controls.
We can align implementation with SOC 2 / ISO-friendly practices (without claiming certification) and support documented data flows.
- SOC 2 / ISO-friendly patterns (no certification claims)
- Least-privilege access and secure session handling
- Retention/deletion and export flows where required
- PII-safe logging + access boundary documentation
- NDA and vendor onboarding docs on request
Timezone & Collaboration (North America)
We work with Canadian teams with North America overlap and meeting windows that fit your schedule.
Delivery stays predictable via weekly milestones, async updates, and clearly documented decisions.
- North America overlap and responsive communication
- Async-first updates with written scope decisions
- Weekly milestone demos and progress checkpoints
- Clear escalation path for blockers
- Tight change control with clear sign-offs
Engagement & Procurement (Canada)
We support procurement-friendly delivery: clear scope, change control, and billing cadence aligned to milestones when appropriate.
We can invoice in CAD for CAD-based engagements where required.
- CAD-based engagements and invoicing options
- Milestone-based billing and scope sign-offs
- Time-and-materials for evolving requirements
- Vendor onboarding pack on request
- Optional paid discovery to de-risk delivery
Security & Quality (North America)
We keep quality visible: clean PRs, reviewable changes, and test coverage that matches the risk of each feature.
Performance budgets and release discipline help maintain stability as the product scales.
- CI-friendly testing: unit + integration + smoke tests
- Performance budgets + bundle checks
- Structured release notes + rollback-safe deployments
- Security checklist for auth, roles, and data flows
- Observability hooks (logs + error tracking) ready for production
Need an MCP server that’s production-ready?
Share the tools and systems you want to expose. We’ll design an MCP setup with security, observability, and rollout guidance.
Permissions + audit-friendly patterns included.