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What Are MCP Integration Services?

MCP integration services connect AI models and agents to external systems: databases, SaaS apps, APIs, and legacy software, through the Model Context Protocol (MCP), an open standard introduced by Anthropic in November 2024. Instead of hard-coding a separate integration for every tool, an MCP server exposes a system's data and actions in a standardized way that any MCP-compatible AI can discover and call. Often described as "USB-C for AI tools," MCP lets an AI agent securely retrieve live data and take real actions across your business.

Under the hood, MCP uses a simple client–server architecture:

  • The MCP host is the AI application (a chat assistant, an IDE, or your own agent).
  • The MCP client lives inside the host and translates the model's requests into structured tool calls.
  • The MCP server connects to a specific system and exposes its data and function calling capabilities, for example, a database_query tool or an email_sender tool.

Our MCP integration services cover both sides of that architecture. We build MCP servers that expose your systems as tools, and we handle MCP client integration so your existing apps and agents can call remote or in-house servers. The result is a clean integration layer between your AI and everything it needs to be useful, with human-in-the-loop capabilities where approvals matter.

Meet Phong Le - AI Tech Lead

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Meet Tai Vo - Backend Tech Lead

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over 400 software developers
400+
Software Developers
Over 14 years of experience
14+
Years in Business
Over 850 Projects Successfully Delivered
850+
Projects Successfully Delivered
rating on Clutch
4.8
Star Rating on Clutch

Our MCP Integration Services

We map every engagement to a real engineering capability, not a slide. Here is what we build.

Note: platforms such as Merge Agent Handler, SnapLogic pipelines, and their tooling (Connector Studio, Evaluation Suite, MCP Client Snap Pack) are part of the wider MCP ecosystem. We integrate with the tools you already use rather than locking you into any single vendor.

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Custom MCP Server Design & Development

Custom MCP server design tailored to your enterprise. We wrap your ERP, CRM, proprietary databases, cloud applications, and internal APIs in purpose-built servers so agents can query and act on live data through clean, documented tool calls. Where useful, we start from pre-built MCP server frameworks and open source implementations, then extend them to your systems.
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MCP Client Integration

MCP client integration that turns your existing products into an MCP integration platform. We generate function definitions, execute operations against remote MCP servers, and format results for downstream use, so as commercial and community servers appear across the MCP marketplace, your agents can use them immediately.
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AI Agent & Generative AI Integration

Connecting LLM-based agents (Claude, ChatGPT, LLaMA) to your tools through MCP. This is where our AI Development Services and Generative AI Integration Services meet a real agent protocol, including multi-agent framework designs and agent orchestration frameworks for workflows that chain several tools together.
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Legacy & API System Connection

Exposing legacy systems, on-premise software, and existing APIs as MCP tools, no rebuild required. If a service changes, you update its server, not every agent that uses it. Pair this with our Software Integration Services and Legacy Application Modernization for bi-directional sync across old and new systems.
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MCP Security & Governance

Security is not an add-on for AI that can take actions. We implement built-in auth (OAuth 2.1), client authentication, the principle of least privilege, and user-based access control so an agent inherits the permissions of the person it works for, no more, no less. A dedicated AI gateway or security gateway enforces policy controls, rate limits, and end-to-end logging to produce auditable trails that satisfy GRC requirements.
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MCP Consulting & Architecture

Not every workflow should use MCP. Our MCP development services include architecture guidance from day one: when to use MCP versus a direct API, when RAG is the better fit, and whether you need remote MCP servers, local servers, or self-hosted servers. This is MCP consulting services grounded in delivery, not theory.
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Integration Engineering in Action

Visit DA

Multi-System Data Monitoring (Visit DA)

This isn't an MCP project. It's the integration and AI-delivery engineering that our MCP integration services are built on. 

For Visit DA, we connected equipment and data sources across multiple locations and platforms into a single, real-time view: 

  • Challenge: fragmented equipment data spread across sites and systems, with no unified monitoring. 
  • Solution: a cross-platform integration layer feeding real-time equipment health monitoring into intuitive dashboards and reports. 
  • Why it matters for MCP: this is the same multi-system, real-time data plumbing an MCP server exposes to an AI agent, reliable connectivity to legacy systems and proprietary databases under one roof. 
  • Read the full case study →
AxiaGram - AI-Powered EHR Companion Appy

Secure, Compliant Integration for Healthcare (AxiaGram)

This isn't an MCP project. It's the compliance-bound integration engineering our MCP work depends on.  For AxiaGram, a HIPAA-compliant telemedicine platform serving US physicians, our dedicated team delivered EHR-integrated workflows:

  • Outcome: a 40% reduction in development time and streamlined, EHR-connected clinical workflows.
  • Why it matters for MCP: connecting an AI layer to regulated clinical systems demands exactly the governance MCP integration requires, least-privilege access, user-based access control, and compliance and security auditing.
  • Read the full case study →

 

Personal Loans Application

Connecting AI to Fintech Systems (Loan Management Solution)

This isn't an MCP project. It's the fintech integration engineering our MCP services build on.  For a Loan Management Solution covering the full lending lifecycle: onboarding, fraud checks, and collections, we scaled a senior team via staff augmentation:

  • Outcome: senior engineers onboarded and productive within 3 months, delivering the complete loan lifecycle.
  • Why it matters for MCP: this is what loan origination automation looks like when an agent must act inside fintech systems with a full audit trail, the foundation for agent-driven document intake through secure tool calls.
  • Detail | Read the full case study (PDF) →

Send Your RFP. See It Built in 24 Hours.

An AI-accelerated path from full brief to working prototype, reviewed by Phong Le, AI Tech Lead, not a sales team.
  • Clickable prototype of one real tool call, your agent reading or acting on live data in your systems
  • Tool-call map of the MCP servers and clients we'd build across your ERP, CRM, and APIs
  • Architecture direction covering server topology (remote/local/self-hosted), OAuth 2.1 auth, and least-privilege governance
  • Technical recommendation call with Phong, including when not to use MCP
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Why Choose Saigon Technology for MCP Integration

Choosing an MCP integration company early in a new protocol's life is a bet on engineering judgment. Here is why clients trust ours. 

Our model - "one senior engineer + AI = three juniors", means fewer people, more output, and less rework. You are not paying juniors to learn MCP on your budget. 

Discover Our Talent →

Certified by BSI (UK), plus Microsoft Gold Partner status, real governance behind AI that can take real actions.

Deep integration and AI delivery experience, applied to MCP.

Listed rates range from $22–$46/hour for implementation services, with oversight by senior personnel.

10–12 hours of daily overlap with US East and West Coast teams.

Interview candidates and start a trial before any long-term commitment.

We advise on the whole solution, including when not to use MCP.

Live AI demos at experiment.saigontechnology.vn let us de-risk approaches before a full build.

Why choose Saigon Technology 2026

Trusted by Global Clients

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What Our Clients Say

Over the past year, collaborating with Saigon Technology Solution company, we have brought high-quality financial software solutions. STS helps us meet the strict requirements of the IT market with software engineers, software testers, and internal system control. And all of these are evidence that we have chosen a good software outsourcing partner.
Mr. Corbin van Amelsvoort
Director at Topicus Vietnam
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I have worked with Thanh (Bruce) Pham on several projects, and I admire his professionalism and his dedication to delivering high-quality work. He is responsive when answering emails and calls, as well as making sure that work always gets done on time. I am glad to be working with him and hope to continue working with him.
Mr. RJ Macasaet
Head of Partnership - DMI Global
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During our collaboration, Mr. Thanh and his company, Saigon Technology, have consistently demonstrated world-class leadership and execution in complex fintech projects. His ability to scale and lead high-performing engineering teams, while maintaining cost-efficiency and product quality, has been critical to our technology operations. His strategic insights and leadership enabled us to significantly improve system stability and deployment velocity.
Abe Jarrett
Senior Vice President of Software Engineering at Origence, USA
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I had the opportunity to work with Thanh (Bruce) Pham and his team. What a nice experience, though! It could be said that I was impressed by his professionalism and his team's enthusiasm. They always asked me to check the right demand and to make sure whether each work point was the best option or not. It was my honor to work with such a great team of software development. Hope to meet them soon in the upcoming time!
Mr. Kirk Duncan
CEO of The Mobile App Man, Sydney, Australia
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We value Saigon Technology’s strong support in managing the engagement from an internal delivery perspective. They were able to maintain team performance across a relatively large team, provide additional resources when required, and work collaboratively with us on matters such as gap time, discount proposals, and improvements to the working process. Their flexibility and consistent management support contributed positively to the overall partnership.
Sri Vijayasarathy
CTO of Axiagram, USA
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Who We Build For

AI product & SaaS teams

Embedding agentic features for your own customers, with MCP server integration that scales across tenants. 

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Enterprises with legacy + cloud sprawl

Giving agents a safe way to act across systems that were never designed to talk to each other.

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Regulated fintech

Auditable, least-privilege agent access aligned with PCI-DSS and SOC 2 expectations.

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Healthcare

HIPAA/HL7-aware integration for agents that touch EHR and clinical systems.

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Benefits of MCP Integration

Done well, MCP implementation services turn a promising demo into an agent that earns its keep: 

Benefits of MCP Integration

Instead of custom code for every model-to-tool pairing, you build once. That lowers build and maintenance cost and reduces the sprawl of point-to-point integrations. 

Real-time tool calls mean fewer hallucinations and genuinely useful answers, the status of a purchase order, a time-off balance, today's sales total.

Swap or add models without re-wiring your tools. Open source MCP components and pre-built connectors keep you flexible.

Centralized governance, access controls, and auditable trails through an AI gateway give security and compliance teams control instead of surprises.

A MCP server registry and public marketplaces, such as Smithery, OpenTools, and Mintlify's MCPT, improve server discoverability, so your agents adopt new capabilities on demand.

Our MCP Integration Process

Software Development Process

Discovery & Consulting

We map your systems, use cases, and constraints, and provide honest mcp consulting services on MCP versus API versus RAG. 

Software Development Process

Architecture

Server topology (remote, local, or self-hosted), multi-agent orchestration, and the permissions model.

Software Development Process

Agile Development

Iterative builds of your MCP servers and MCP client integrations, with transparent progress.

Software Development Process

Security & QA

Auth, least-privilege scoping, and testing of every tool and connector before release.

Software Development Process

Launch

Deployment to your chosen execution environment, with load balancing and observability.

Software Development Process

Maintenance & Support

Versioning and updates so tools evolve without breaking your agents.    

Our Technology Stack

Our Insights

FAQs

An MCP integration connects an AI model or agent to an external system using the Model Context Protocol. An MCP server exposes that system's data and actions as standardized tools, and the AI's MCP client discovers and calls them, so the agent can fetch live data or take actions instead of relying only on training data.

A provider designs, builds, secures, and maintains the servers and clients that link your AI agents to your systems. That includes custom MCP server design, MCP client integration, authentication and governance, and architecture guidance on where MCP fits. It answers the real question behind "who offers the best integration services with MCP": who can build it and secure it.

Cost depends on the number of systems, security requirements, and how many tools each server exposes. Saigon Technology's senior-led rates run $22–$46/hour, and most engagements are scoped as fixed-price or dedicated-team projects. Send an RFP and we return an architecture direction and estimate.

A focused proof-of-concept, one server, a handful of tools, often takes two to four weeks. Production MCP implementation services across multiple systems, with full auth and governance, typically run one to three months depending on scope and compliance needs.

Use MCP when an AI agent needs to decide, on the fly, which action to take with current data. Use a direct API or bi-directional sync for static, repeatable workflows where AI decision-making adds risk without benefit. MCP is not "just tool calling", it standardizes discovery, execution, and governance across many tools.

RAG retrieves relevant text to inform an answer. MCP is broader: it lets an agent both fetch data and take actions through standardized tools. RAG is passive retrieval; MCP is active interaction. Many production systems use both, RAG for knowledge, MCP for action.

Technologies we use 

  • Models & protocol: Claude, ChatGPT, LLaMA; Model Context Protocol over stdio, SSE, and Streamable HTTP transports. 
  • Languages: Python, Node.js, .NET.
  • Cloud & DevOps: AWS, Azure, Google Cloud; Docker, Kubernetes, Terraform. We deploy remote MCP servers and self-hosted servers across container orchestration platforms and serverless server-hosting solutions, from Google Kubernetes Engine to Cloud Run and Cloudflare, with on-premise deployment where data residency requires it.
  • Infrastructure & tooling: MCP infrastructure, MCP gateways, and server generation tools to reduce boilerplate.

Standards & compliance 

  • Auth & access: OAuth 2.1 authorization, built-in auth, client authentication, trusted agent identity, and token propagation so agents carry the right user context, the same model modern api gateways apply to traffic.
  • Governance: least-privilege, policy controls, enterprise policies, end-to-end logging, and compliance and security auditing.
  • Regulatory: secure SDLC aligned with GDPR and PDPA; HIPAA/HL7 for healthcare; PCI-DSS and SOC 2 context for fintech.

Cross-engine note: files like llms.txt can aid discoverability in some AI assistants, but they are not a Google ranking factor. We treat them as an optional experiment, not a core lever.

We apply secure integration patterns: OAuth 2.1, least-privilege scoping, and user-based access control so an agent inherits its user's permissions. A security gateway or AI gateway enforces policy controls, removes sensitive data where needed, requires human approval for high-risk actions, and logs every call for compliance and security auditing.

Build Your MCP Integration with Saigon Technology

From a validated proof-of-concept to a production-grade, secured integration, our AI-augmented senior engineers connect your agents to the systems that run your business, with the governance to do it safely.

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