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.
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Regional
Delivery considerations for your region
Compliance & Data (EU)
For Germany/EU delivery, we keep GDPR-first patterns: data minimisation, purpose-limited storage, and explicit access boundaries.
We can work under a DPA (template available on request) and implement pragmatic retention/deletion flows when needed.
- GDPR-first architecture patterns (generic, no legal claims)
- DPA template available on request
- Retention/deletion and export flows where required
- Least-privilege access and safe logging defaults
- Documented data flows and access boundaries
Timezone & Collaboration (EU)
We align to EU working hours with CET-friendly collaboration windows and async progress updates.
We keep delivery predictable: weekly milestones, documented decisions, and clear scope control.
- EU overlap with CET-friendly windows
- Async-first delivery with written decisions
- Weekly milestone demos and progress checkpoints
- Clear change control to avoid surprises
- Escalation path for blockers and risks
Engagement & Procurement (EU)
We support procurement-friendly engagements with clear scopes, milestone plans, and documentation that stakeholders can review.
For EU teams, we can structure invoices and milestones for EUR-based engagements where appropriate.
- EUR-based engagements and invoicing options
- Discovery-first option to reduce delivery risk
- Milestone-based billing and scope sign-offs
- Vendor onboarding documentation on request
- Transparent change control and approvals
Security & Quality (EU)
We prioritise reliability: reviewable PRs, predictable releases, and tests that protect critical paths.
Performance budgets and clear release discipline keep the product stable as it grows.
- CI-friendly testing: unit + integration + smoke tests
- Performance budgets + bundle checks
- Release checklist + rollback-safe deployments
- Security checklist for auth and sensitive 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.