AI Engineering
Give AI controlled, auditable access to your systems.
We build Model Context Protocol (MCP) servers that expose your systems to AI assistants and agents as well-defined tools — with authentication, permission scopes and a log of every call.
- ISO 9001 certified
- NDA on request
- You own the code
- Assistant or agentCalls tools through the Model Context Protocol Step 1
- MCP serverAuthenticates the caller and checks scopes Step 2
- ToolsWell-defined read and write actions on your systems Step 3
- Your systemsAPIs, databases and internal services Step 4
- Audit logEvery call recorded with identity, inputs and outputs Step 5
Trusted by 100+ clients in 25 countries
What we offer
Our MCP development services.
Take the complete service, or just the parts you need. Every engagement is shaped around your goals, your users and your budget.
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Tool design
Deciding which actions and data to expose, and in what shape.
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MCP servers
Secure servers wrapping your APIs, databases and internal services.
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Authentication and scopes
Per-user and per-agent permissions, including read-only tools.
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Audit
Every tool call recorded with inputs, outputs and the identity behind it.
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Testing
Contract tests so tools behave predictably as your systems change.
Why clients trust us
Real products, real businesses, since 2018.
From startups launching their first app to ministries and global brands, businesses in 25 countries rely on Appsums to build, run and grow their software.
- 15+
- years in IT
- 8+
- years as Appsums
- 100+
- clients
- 25
- countries
How we work
How we deliver MCP development.
Six clear stages from first call to a product that keeps improving. You always know what is happening, what comes next and what it costs.
- Weekly demosSee real progress, not status reports
- One accountable leadA single person who owns delivery
- Written milestonesScope and budget agreed up front
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Stage 1 of 6
Discovery and AI mapping
- Find the tasks where AI saves the most time
- Agree goals and success measures
- Check risks and what AI must not do
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Stage 2 of 6
Data and systems review
- Review data quality and access
- Map the systems AI must connect to
- Plan security and data residency
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Stage 3 of 6
Design and planning
- Choose models and architecture
- Design guardrails and approvals
- Agree scope, timeline and budget
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Stage 4 of 6
Build and integrate
- Build the AI feature or agent
- Connect it to your tools and data
- Weekly demos on real examples
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Stage 5 of 6
Test and launch
- Score accuracy on real cases
- Safety and permission checks
- Phased roll-out to users
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Stage 6 of 6
Monitor and improve
- Track accuracy, cost and usage
- Alerts for anything unusual
- Regular improvements each month
Client voice
What our clients say.
In their own words, from the founders and leaders we build for. All reviews
Technologies
The technology we build with.
Popular, proven tools that are easy to grow and easy to hire for, so your product is never locked in to us.
Most used for MCP development:MCPTypeScriptPythonOAuth 2.0RESTPostgreSQL
Web and mobile
- React
- Next.js
- Angular
- Vue.js
- TypeScript
- JavaScript
- Tailwind CSS
- Flutter
- Dart
- Swift
- Kotlin
- Jetpack Compose
- Android
- iOS
- Ionic
- Figma
Backend and data
- Node.js
- Express
- NestJS
- Python
- Django
- FastAPI
- PHP
- Laravel
- .NET
- Spring
- GraphQL
- Socket.IO
- MongoDB
- PostgreSQL
- MySQL
- MariaDB
- Redis
- Elasticsearch
- Firebase
- Supabase
- Prisma
Cloud and DevOps
- AWS
- Google Cloud
- DigitalOcean
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- Jenkins
- Nginx
- Grafana
- RabbitMQ
- Kafka
- Jest
- Cypress
- Selenium
- Postman
- Jira
AI and integrations
- OpenAI
- Anthropic
- Gemini
- Llama (Meta)
- LangChain
- Hugging Face
- PyTorch
- TensorFlow
- Ollama
- NumPy
- Pandas
- scikit-learn
- Stripe
- PayPal
- Twilio
- WhatsApp Business
- Google Maps
- Shopify
- WordPress
Security and trust
Security, privacy and IP built into how we work.
Security by design
- Secure architecture and code reviews
- Encryption in transit and at rest
- Vulnerability checks before release
- Dependencies kept up to date
Data protection
- Least-privilege, role-based access
- Separate test and live environments
- Hosting in the region you choose
- Credentials handed back at the end
Contracts and IP
- NDA signed before detailed talks
- You own all code, designs and data
- Clear scope and statements of work
- Confidentiality for every team member
Quality and governance
- ISO 9001 certified quality management
- Documented, audited processes
- Progress and risk reports every sprint
- Release checklists and sign-off
ISO 9001 certified. Quality you can rely on.
Our quality management system is independently certified, so every project follows documented, audited processes from kick-off to support.
Explore more
Explore our full range of services.
Most clients start with one service and add others as they grow. The same team keeps the context.
FAQs
Frequently asked questions.
Anything else about MCP development? Ask us directly. A real engineer reads every message.
What is MCP?
Model Context Protocol is an open standard for connecting AI models to tools and data in a consistent way.
Is it safe to let a model call our systems?
Only through the tools and scopes you approve, with every call logged.


















