- Strict Schema Architecture. We define strict, typed schemas for every tool, working with your team to map real data flows and edge cases. This removes the ambiguity behind many MCP failures.
- Idempotent Async Execution Layer. We add resilience controls that help agents avoid duplicate execution and stalls under load. This architecture handles network timeouts and concurrency spikes without breaking workflows.
- Observability and Reliability Metrics. We build observability into each MCP server, so you see latency, pass rates, schema errors, and retries for every tool under real workloads.
Model Context Protocol (MCP) and CLI Development Services
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BUILD EACH CONNECTOR ONCE
Wrap each tool in one MCP server that Claude, ChatGPT, and Gemini can all call. A new model or agent uses the servers you already have. -
FIND THE MCP SERVERS ON DEVELOPER LAPTOPS
Map every MCP server your developers run locally and the data each one can reach. Replace them with approved tools that are just as quick to use. -
MAKE MCP SERVERS HOLD UP UNDER LOAD
Test each server with parallel agent traffic before launch. Fix the schema errors and timeouts that make agents fail halfway through a task.
• Why choose Devox Software?
How We Build MCP for Production
One MCP Hub. Fewer Integrations.
Are you still building a new connector for every AI model and tool? We build one MCP server per tool, so every model and agent connects through the same layer.
Make Legacy Systems AI-Ready
Is your business data locked inside legacy systems? We build MCP adapters that turn legacy data into clean JSON that agents can use in real time.
Production Grade MCP Engineering
Do your MCP servers fail too often for agents to rely on them? We build MCP servers to a success-rate target agreed with you, typically above 95%, and test them under production-level load before launch.
Bring Shadow AI Under Control
Do you know which MCP servers your teams are running locally? We find them, map what data each can reach, and replace them with approved servers that use short-lived tokens scoped to one action.
What We Deliver
Services We Provide
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Production MCP Server Engineering
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Shadow AI Audit and Environment Stabilization
- Shadow Deployment Discovery. We scan your engineering environment for unofficial MCP servers running on developer machines or in personal projects. Our team maps each server, its permissions, and the data it can access.
- Credential and Token Risk Assessment. We analyze how credentials are stored, shared, and used across all MCP tools and servers. We review local configuration files and OAuth pass-through patterns that may expose user identity. Built around secure alternatives.
- Safe Developer Tooling Replacement. Instead of shutting down shadow tools, we replace them with secure alternatives developers will actually use. We mirror the speed and flexibility of their unofficial setups while removing the risks. Built around secure alternatives.
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Secure Authorization Implementation
- Dynamic Downscoping Engine. Instead of giving agents broad access, we generate the narrowest permission set needed for each tool call. This limits what a leaked token can do and keeps each action tightly scoped.
- OAuth Pass-through Elimination. We replace user token pass-through with a layered identity model built for MCP workflows. User OAuth tokens never pass through tools, servers, or agent workflows.
- Unified Identity Integration. We connect your MCP environment to your identity provider and tie every tool call to a verifiable user or service identity.
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Legacy Modernization via MCP Adapters
- Legacy System Mapping. We start by mapping how your legacy systems behave today, not how old documentation says they should behave. e trace the specific behaviors agents will rely on, so adapters handle them correctly.
- Normalization and Schema Harmonization. We take inconsistent responses and normalize them into typed MCP schemas. We clarify and validate each field, so agents receive predictable data.
- Adapter Server Engineering. We build lightweight MCP servers that sit between your legacy systems and your AI agents, translating old protocols into reliable tool calls. These adapters handle protocol details, so agents can focus on the task.
- Error Shielding and Resilience Layer. Legacy systems fail unpredictably, so we wrap them in a resilience layer that absorbs common failures. Agents receive clear errors they can act on instead of cryptic system messages.
- Progressive Modernization Path. We design your adapters so they can evolve, adding new capabilities and retiring old ones. This creates a smooth modernization path where you modernize the parts that matter without forcing a full rewrite.
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CI/CD Orchestration for AI Agents
- MCP Pipeline Integration. We plug your MCP servers directly into your existing CI/CD pipelines so all critical MCP components are automatically validated before deployment.
- Automated Tool and Schema Testing. We create automated tests that validate tool behavior and reliability on every commit.
- Safe Deployment and Rollback Automation. We build deployment workflows that roll out changes gradually, monitor behavior, and automatically revert when failures occur.
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MCP Testing
- Parallel Load Simulation. We simulate agent traffic from single calls up to the concurrency your production will see, including burst loads and long-running calls.
- Tail Latency Profiling. To uncover the hidden delays that cause cascading agent failures, we measure P50, P95, and P99 latency.
- Schema Mismatch Detection. To catch schema mismatches, one of the most common causes of MCP failures in production, we run automated schema validation across every tool. This includes common malformed inputs agents often generate.
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Agent Behavior Evaluation
- Sandboxed Trajectory Environments. We create isolated sandbox environments where teams can observe agent behavior step by step and capture every action for review.
- Step‑by‑Step Agent Auditing. To show where logic breaks or tools are used incorrectly, we audit each step of the agent trajectory.
- Human‑in‑the‑Loop Review Layer. We build a review layer so your team can approve high-impact agent actions before execution.
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MCP‑CLI Tooling
- Inner‑Loop Productivity Utilities. We build lightweight local tools that let developers call, test, and debug MCP tools from the terminal.
- Typed Developer Toolkits. We create strongly typed developer toolkits that wrap MCP tools in safe interfaces.
- Local Sandbox Execution Tools. We give your team a local sandbox to test ideas, debug issues, and refine workflows before pushing anything upstream.
- Unified DevTools Experience. We unify internal tools into a consistent CLI experience across your team.
Benefits
What Changes After MCP Rollout
01
Integration work happens once per tool
When you add a model or an agent, it connects to servers that already exist. Your team maintains one server per tool instead of one connector per pair.
02
Your security team can see every tool call
Calls are tied to a person or service in your identity provider and written to an audit log. Unofficial servers are replaced, so the picture is complete.
03
Fewer agent runs break halfway
Schema checks and load tests catch most failure causes before production. The ones that slip through show up in the server metrics with the call that caused them.
04
Agents can work with legacy data
Adapters give agents read and write access to older systems through typed tools. The core system stays as it is, and you can modernize it later in parts.
LOGISTICS & AUTOMOTIVE
Rigorous Testing for Safety Car Components
Discover how an automotive manufacturer validated emergency call and telemetric devices without costly field-testing, but with full industry compliance.
Additional Info
Core Tech:
- Canooe
- Protocol Analysis Tools
- Automotive-Specific Testing Frameworks
LOGISTICS & AUTOMOTIVE
Otoqi: Custom Fleet Management System and Driver App for Pan-European Car Logistics
A turn-key transport management solution (TMS) that helps deliver cars throughout Europe.
Additional Info
Core Tech:
- Angular
- Node.js
- PostgreSQL
- REST API
- AI algorithms
- Keycloak
- Selenium
Country:
France
REAL ESTATE
AI Platform for Real Estate Price Prediction and Investment Forecasting
A custom-built solution that helps investors make data-driven decisions using AI-based forecasts.
Additional Info
Core Tech:
- Python
- Django
- JavaScript
- Dense Encoder (TiDE)
- MySQL
- AWS S3
- Google Cloud Storage
Country:
USA
Testimonials
Testimonials
Sweden
The solutions they’re providing is helping our business run more smoothly. We’ve been able to make quick developments with them, meeting our product vision within the timeline we set up. Listen to them because they can give strong advice about how to build good products.
Carl-Fredrik Linné
Tech Lead at
CURE Media
United States
We are a software startup and using Devox allowed us to get an MVP to market faster and less cost than trying to build and fund an R&D team initially. Communication was excellent with Devox. This is a top notch firm.
Darrin Lipscomb
CEO, Founder at
Ferretly
Australia
Their level of understanding, detail, and work ethic was great. We had 2 designers, 2 developers, PM and QA specialist. I am extremely satisfied with the end deliverables. Devox Software was always on time during the process.
Daniel Bertuccio
Marketing Manager at
Eurolinx
Australia
We get great satisfaction working with them. They help us produce a product we’re happy with as co-founders. The feedback we got from customers was really great, too. Customers get what we do and we feel like we’re really reaching our target market.
Trent Allan
CTO, Co-founder at
Active Place
United Kingdom
I’m blown up with the level of professionalism that’s been shown, as well as the welcoming nature and the social aspects. Devox Software is really on the ball technically.
Andy Morrey
Managing Director at Magma Trading
Switzerland
Great job! We met the deadlines and brought happiness to our customers. Communication was perfect. Quick response. No problems with anything during the project. Their experienced team and perfect communication offer the best mix of quality and rates.
Vadim Ivanenko
COO at
Optherium
United States
The project continues to be a success. As an early-stage company, we're continuously iterating to find product success. Devox has been quick and effective at iterating alongside us. I'm happy with the team, their responsiveness, and their output.
Sweden
We hired the Devox team for a complicated (unusual interaction) UX/UI assignment. The team managed the project well both for initial time estimates and also weekly follow-ups throughout delivery. Overall, efficient work with a nice professional team.
John Boman
Product Manager at
Lexplore
Canada
Their intuition about the product and their willingness to try new approaches and show them to our team as alternatives to our set course were impressive. The Devox team makes it incredibly easy to work with, and their ability to manage our team and set expectations was outstanding.
Tamas Pataky
Head of Product at
Stromcore
Estonia
Devox is a team of exepctional talent and responsible executives. All of the talent we outstaffed from the company were experts in their fields and delivered quality work. They also take full ownership to what they deliver to you. If you work with Devox you will get actual results and you can rest assured that the result will procude value.
Stan Sadokov
Product Lead at
Multilogin
United Kingdom
The work that the team has done on our project has been nothing short of incredible – it has surpassed all expectations I had and really is something I could only have dreamt of finding. Team is hard working, dedicated, personable and passionate. I have worked with people literally all over the world both in business and as freelancer, and people from Devox Software are 1 in a million.
Mark Lamb
Technical Director at M3 Network Limited
Insights
Our Experts' Insights
AI & ML
AI Solutions
Manufacturing
Revolutionizing Farming Practices with AI Technology
AI Solutions
Research Paper
Beyond OCR: Why Enterprises Are Adopting Intelligent Document Processing in 2026
FAQ
Frequently Asked Questions
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How do we know your MCP servers will stay reliable under load?
Before launch, we test your MCP servers under realistic load, latency, schema, and concurrency conditions. You review the results directly, including pass rates, tail latency, and concurrency performance.
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Can you keep our agents stable as we scale?
Scaling exposes bugs that never appear at low volume, such as race conditions, timeouts, and retries that duplicate actions. We design MCP servers with idempotent execution and clear timeouts, so higher traffic does not create new failure modes.
The foundation is continuous testing that verifies the system can perform under production conditions. We replay agent calls and simulate load to identify issues before they reach production. See our Vibe Coding Services for a focused offering in this area.
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How do you prevent shadow AI projects inside our company?
Developers set up their own MCP servers because they need to move fast. We give them approved servers that are just as quick to use, then add visibility into which servers run where and lightweight controls on credentials and data flows.
At the same time, we improve visibility and add lightweight controls to reduce credential and data-flow risk. For the complete scope, visit our AI development services.
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Will we need to replace our existing systems?
No. MCP lets you modernize without replacing your existing infrastructure. Instead of rewriting legacy systems, we build adapters that give agents clean data access and a secure interface. You modernize gradually while keeping the core system stable.
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What is the business case, and how do we justify it to leadership?
The payback comes from two places: reliability and security. More reliable MCP servers reduce broken workflows and cut operational overhead. Secure identity flows reduce impersonation and token leakage risk. They also lower financial and compliance exposure.
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