- Strict Schema Architecture. We design every tool with strongly typed Zod or Pydantic schemas. That removes the ambiguity behind many real-world MCP failures. To map real data flows and normalize edge cases, we work with your team. Agents get predictable structures they can validate and use.
- 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. You gain a stable execution layer for agents under real production load.
- Observability and Reliability Metrics. With MCP as a service, we embed observability tools directly into the MCP server so you can see exactly how tools behave under real workloads. To act on them, you can see latency, pass rates, schema errors, and retries clearly enough.
Model Context Protocol (MCP) and CLI Development Services
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CONNECT ONCE
Replace dozens of custom integrations with a single MCP hub and cut integration effort by up to 70%. -
REVIVE LEGACY
Add modern AI capabilities to legacy systems without changing core code. -
CONTROL RISK
Keep success rates above 95% under heavy concurrency with controlled agent execution and complete traceability.
• Why choose Devox Software?
What We Offer
One MCP Hub. Fewer Integrations.
Are you still building a new connector for every AI model and tool? Our MCP development services help you build a standardized MCP architecture with one server per tool.
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 designed to keep success rates above 95% under real production load.
Bring Shadow AI Under Control
Do you know which MCP servers your teams are running locally? Each agent receives a short-lived token scoped to one specific action. This limits the blast radius if a token leaks.
What We Deliver
Services We Provide
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Top-Decile 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. To finally get a clear inventory of your MCP environment.
- 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 passthrough patterns that may expose user identity. Designed to safely eliminate risks; you receive a prioritized list of risks and a plan.
- 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, making adoption easier because approved tools feel better than unofficial ones.
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Secure Authorization Implementation
- Dynamic Downscoping Engine. Instead of giving agents broad access, we generate the narrowest permission set for each tool call at the moment it is needed. This limits what a leaked token can do and keeps each action tightly scoped. Ideal for maintaining strict access control without slowing down agent workflows.
- OAuth Passthrough Elimination. We replace user token passthrough with a layered identity model built for MCP workflows. Users keep their OAuth tokens out of tools, servers, and 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. This gives you clean audit trails and consistent access policies for every tool call. By connecting your MCP environment to your identity provider, secure agent automation becomes possible.
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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. To handle it safely, we trace the system behaviors agents need. Through mapping legacy system behavior, we get a clear blueprint for adapters that modernize agent access without changing the core system.
- 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. Based on the normalization of inconsistent responses, legacy data is transformed into data agents can safely use.
- 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. Centered on translating old protocols, your legacy stack remains untouched while agents get a modern interface.
- Error Shielding and Resilience Layer. Legacy systems fail in unpredictable ways, so we wrap them in a resilience layer that absorbs common legacy system failures. Agents receive clear errors they can act on instead of cryptic system messages. Intended to significantly boost reliability without modifying the original system.
- Progressive Modernization Path. We design your adapters so they can evolve over time, 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. Created to provide a smooth modernization path where you modernize the parts that matter without requiring 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. Our team builds reliable workflows that catch issues early and keep your agents running smoothly. Structured to transform MCP from an ad hoc developer setup into a managed production service.
- Automated Tool and Schema Testing. We create automated tests that validate tool behavior and reliability on every commit. These tests run fast and give developers instant feedback, preventing regressions long before they reach production. Driven by automated tests, this is the safety net that protects your agents from unexpected failures.
- Safe Deployment and Rollback Automation. We build deployment workflows that roll out changes gradually, monitor behavior, and revert automatically when failures appear. This protects your agents from unexpected failures and keeps your production environment stable. Anchored in controlled deployment workflows, you gain confidence in faster delivery without undue risk.
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MCP Testing
- Parallel Load Simulation. To show how your MCP servers behave under pressure, we simulate real agent traffic across 1 to 32 parallel requests. This includes burst loads, long‑running calls, and production patterns that mirror real production patterns.
- Tail Latency Profiling. To uncover the hidden delays that cause cascading agent failures, we measure P50, P95, and P99 latency. Useful when identifying system bottlenecks that only appear at scale.
- 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. Best for significantly boosting pass rates in multi-step agent workflows.
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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. To test risky workflows without touching production, you get a controlled space. Meant for providing a controlled space to test risky workflows without touching production.
- Step‑by‑Step Agent Auditing. To show where logic breaks or tools are used incorrectly, we audit each step of the agent trajectory. A more disciplined way to avoid guesswork and identify the exact moments when behavior deviates from expectations.
- Human‑in‑the‑Loop Review Layer. We build a review layer so your team can approve high-impact agent actions before execution. A clearer path to creating a safety net for sensitive workflows, tailored to your risk profile without slowing down work.
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MCP‑CLI Tooling
- Inner‑Loop Productivity Utilities. We build lightweight local tools for teams that iterate quickly. Clarity around supporting a fast inner loop without forcing developers to wait for remote infrastructure.
- Typed Developer Toolkits. We create strongly typed developer toolkits that wrap MCP tools in safe interfaces. Focused on helping engineers avoid schema errors and giving them a smoother, more confident way to interact with your systems.
- Local Sandbox Execution Tools. To test ideas, debug issues, and refine workflows before pushing anything upstream, this gives your team a safe space to test ideas, debug issues, and refine workflows before pushing anything upstream. You gain a safe space for your team 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. You avoid tool fragmentation, as developers get a consistent experience across all services.
Austria 
FINTECH
Web3 PaaS Ecosystem for Next-Gen NeoBanking, RegTech, and Secure Data Vaulting
A blockchain-powered PaaS ecosystem enabling financial providers to launch custom neobanking solutions with secure infrastructure.
Additional Info
Core Tech:
- Blockchain
- .NET
- Node.js
- AWS
- Docker
- PostgreSQL
- React Native
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
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AI Solutions
Industry Trends
Startups
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AI Solutions
Manufacturing
How to Build a Custom Manufacturing AI Agent System: 8 Steps from Use Case to Production
AI & ML
AI Solutions
Legacy Modernization
AI as a Service (AIaaS): Use Cases and Emerging Trends
FAQFAQ
Frequently Asked Questions
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How do we know your MCP servers will stay reliable under load?
We build MCP servers for production reliability, not just basic functionality. We design them to stay reliable under heavy load, in both stress tests and production traffic. We build infrastructure around the API, not a thin wrapper.
We do not ask you to rely on our claims alone. 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. Once your environment meets production reliability targets, you have confidence grounded in data.
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Can you keep our agents stable as we scale?
Scaling agents takes more than raw capacity. It means catching the subtle bugs that appear when many calls happen at once. We build servers that handle concurrent calls and use guardrails to keep failures from cascading. Your workflows become more reliable, not more fragile.
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. Instead of relying on assumptions about consistency, you get a system that is validated every day. 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?
We reduce shadow AI by giving developers secure tools that are faster than their unofficial setups. Developers set up MCP servers because they need speed, control, and tools that let them move quickly. We give them secure tools with the speed and flexibility they already expect.
At the same time, we improve visibility and introduce lightweight controls that reduce credential and data flow risk. Innovation remains fast while risk stays manageable. 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.
This approach lowers cost and reduces risk. You get modern agent workflows without a large migration project. 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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