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9 November 2026/11 min read

Best MCP Development Companies (2026): 7 Compared

An MCP development company builds Model Context Protocol servers, the layer that lets an AI agent such as Claude call your databases, CRM, ticketing system or internal APIs through one standard interface.

Robel
Author:Robel,AI Engineer
Best MCP Development Companies (2026): 7 Compared

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An MCP development company builds Model Context Protocol servers, the layer that lets an AI agent such as Claude call your databases, CRM, ticketing system or internal APIs through one standard interface. The code is the easy part. The work that decides whether the server survives production is tool design, authentication, per-tool permissions, logging and what happens when the protocol or your systems change.

If you are searching for the best MCP development companies, you will find dozens of firms that added "MCP" to a general software page in the last year. This guide compares 7 that publish a dedicated MCP server development service, covering what each one offers, the timelines and prices they state, and who each one fits. Every fact comes from the company's own site, checked on 2026-11-09.

Best MCP development companies: a brief overview

  • AY Automate: Best overall for a production MCP server with scoped access, tested against real Claude clients, delivered in two to five weeks.
  • Saigon Technology: Best for teams that want a senior-led offshore team on a published hourly rate, with ISO 27001 certification.
  • NINtec: Best for regulated fintech and healthcare teams that need multi-tenant auth, audit trails and a long maintenance contract.
  • Terralogic: Best for enterprises that want MCP connected to Google Workspace, Microsoft 365, Salesforce, Jira or QuickBooks across Claude, GPT-4o and Gemini.
  • Wiserbrand: Best for buyers who want an honest check on whether MCP or a direct API integration is the right call.
  • Mobisoft Infotech: Best for consulting-led engagements with a choice of fixed project, dedicated team or hybrid.
  • Braincuber: Best for buyers who want a published price band before the first call.
CompanyTypeMain strengthPricingTypical timeline
AY AutomateMCP build and maintenance partnerNarrow, authenticated, logged servers tested with real clientsPer project after a discovery call; embedded engineer from $3K/monthTwo to five weeks for a first server
Saigon TechnologySoftware outsourcing firmFull server build, hosting and security hardeningPublished rate up to $46 per hour; fixed price, dedicated team and staff augmentationTwo to four weeks for a prototype, one to three months for production
NINtecEnterprise engineering firmMulti-tenant auth, audit and SLA-backed operationsNot published6 to 8 weeks for one system, 10 to 14 for multi-system
TerralogicEnterprise integration firmLive integrations with Microsoft, Google, Salesforce and JiraNot published; retainer availableOne-week discovery sprint, then 4 to 10 weeks
WiserbrandAgencyGoverned MCP layer with MCP-versus-API assessmentNot publishedTypical launch 4 to 8 weeks
Mobisoft InfotechSoftware development firmConsulting-led MCP design and buildNot published2 to 4 weeks simple, 6 to 12 weeks complex
BraincuberAI development firmCustom servers in TypeScript and PythonListed band of $15,000 to $250,000Not stated on the service page

1. AY Automate, best overall for production MCP servers

AY Automate builds MCP servers that give AI agents scoped, authenticated and logged access to your internal systems, databases and APIs. We start with the tool list, because a bad tool list cannot be fixed by good code. Public examples often expose a whole API as tools, which floods the model with choices and hands it more power than the task needs. We design a few narrow tools around real jobs, such as "look up an order" or "draft a reply for approval", and enforce the limits on the server.

Why AY Automate is #1

  • What we do. We embed senior AI-native engineers directly into your team, and they ship MCP servers to production: a few narrow tools, authentication, per-tool permissions, logging and maintenance as the protocol changes. (MCP development)
  • Speed. "Live in 10 days, not 10 weeks." (our offer)
  • Pricing. Engineers from $3K a month, cancel anytime, with a 90-day replacement guarantee. Most teams stay with us on a monthly retainer after launch. (FAQ)
  • Proof. Our compliance automation case study: AI document verification replaced manual passport checks, eliminated €10K+ in regulatory fines and cut admin time 70%.

The first server takes two to five weeks. After 30 days you have a working server with a tested tool set: a tool specification in week one, a permission model in week two, a deployed test server with logging and rate limits in weeks three and four, and test results from real tasks run through Claude by day 30, with tool descriptions tuned where the model chose wrong. After that we deploy with monitoring and keep the server current as the protocol and your systems change. Our guide to choosing an MCP development agency explains each step.

On proof, our case studies show what we have shipped for 60+ companies. Related work on the MCP page includes an aerospace ERP vendor working under FAA, ITAR and AS9100 compliance, where the whole database became an agent anyone can talk to and each person only sees and reports on what they are allowed to touch.

Key features

  • Tool descriptions written so the model picks the right tool
  • Authentication, per-tool permissions, rate limits and call logging
  • Testing through Claude, Claude Code and other MCP clients

2. Saigon Technology, best for senior-led offshore MCP teams

Saigon Technology is a software engineering firm that describes itself as an AI-native engineering partner. Its MCP page covers building servers over ERP, CRM, proprietary databases and internal APIs, with tools, resources and prompts, hosted over stdio, SSE or Streamable HTTP. It deploys to Docker, Kubernetes, Cloudflare Workers or on-premise for data residency, and it can wrap legacy systems without a rebuild.

Why it's on the list

  • What they do. MCP servers over ERP, CRM, proprietary databases and internal APIs, hosted on stdio, SSE or Streamable HTTP, with OAuth 2.1 and audit logging.
  • Who it fits. Teams that want a larger offshore bench and published hourly economics.
  • Pricing. Published implementation rate with a top figure of $46 an hour; fixed price, dedicated team and staff augmentation. (MCP page)
  • Proof. Its site claims 850+ projects, 350+ clients and ISO 9001 and ISO 27001 certification. (Saigon Technology)

The site claims 14+ years, 850+ projects and 350+ clients, with ISO 9001 and ISO 27001 certification. It offers to map one system you name into a server design within 48 hours, and it lists OAuth 2.1, least-privilege scoping and audit logging.

Cons

  • MCP is one service inside a broad outsourcing catalog

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3. NINtec, best for regulated multi-tenant MCP servers

NINtec positions its MCP practice around the parts demos skip: multi-tenant authentication, per-action audit, rate-limit fairness, schema evolution and keeping a server alive while the protocol moves. It lists work in fintech, healthcare, logistics and SaaS, including HIPAA-oriented servers over EHR systems.

Why it's on the list

  • What they do. Multi-tenant authentication, per-action audit, rate limits and schema evolution for MCP servers, with 24x7 on-call where a contract requires it.
  • Who it fits. Fintech, healthcare, logistics and SaaS teams with audit and retention requirements.
  • Pricing. Not published. A Readiness Assessment scopes the work; 6 to 8 weeks for a focused server, 10 to 14 for several systems.
  • Proof. Lists HIPAA-oriented servers over EHR systems; no named client found. (NINtec)

The engagement runs in three phases: one week of discovery, six to ten weeks of build with weekly demos against a live Claude client, and one to three weeks of hardening that includes auth review and rate-limit drills. NINtec also offers 24x7 on-call where a contract requires it.

Cons

  • Longer timelines than a lean build
  • No price on the page

4. Terralogic, best for MCP across Microsoft, Google and Salesforce

Terralogic sells MCP server development for enterprises that run mainstream SaaS. Its page says it has deployed MCP integrations across Google Workspace, Microsoft 365, Slack, Cisco, QuickBooks, Salesforce and Jira, and that the same layer works with Claude, GPT-4o and Gemini. It describes Entra ID authentication for Microsoft work, field-level write controls for Salesforce and audit logs on finance access.

Why it's on the list

  • What they do. MCP integrations with Google Workspace, Microsoft 365, Slack, Salesforce, Jira and QuickBooks, for Claude, GPT-4o and Gemini.
  • Who it fits. Enterprises whose first MCP use cases sit in mainstream SaaS.
  • Pricing. Not published. A one-week discovery sprint ends with a build estimate; retainer optional.
  • Proof. Headquartered in San Jose with 1,000+ employees, per its site; no named MCP client found. (Terralogic)

Delivery starts with a one-week MCP Discovery Sprint that produces an architecture spec, model recommendation, integration map and build estimate. The build and deploy phase then runs four to ten weeks, ending with documentation, runbooks, team handover and an optional retainer.

Cons

  • No price or named client case study on the page

5. Wiserbrand, best for an honest MCP-versus-API assessment

Wiserbrand describes the MCP layer as the governed boundary between AI and your systems. Its page says discovery includes determining where MCP adds useful standardization and where a direct API integration or an existing connector would be simpler.

Why it's on the list

  • What they do. A governed MCP layer between AI agents and your systems, plus an MCP suitability assessment against direct API integration.
  • Who it fits. Buyers who want a recommendation on whether MCP is the right call.
  • Pricing. Not published. Estimated after the use case is defined; typical launch 4 to 8 weeks.
  • Proof. A Magento MCP server cut parts-search time by 80%, with catalog changes kept under manager approval. (Wiserbrand)

It publishes a case where a custom MCP server connected an AI agent to Magento, cutting parts-search time by 80% while keeping every catalog change under manager approval. The typical launch is listed at four to eight weeks.

Cons

  • No price on the page

6. Mobisoft Infotech, best for consulting-led MCP engagements

Mobisoft Infotech offers MCP server development and consultation. It lists architecture design, tool schema definition, security planning and custom server builds for OpenAI, Anthropic and Azure OpenAI clients.

Why it's on the list

  • What they do. MCP server architecture, tool schema definition, security planning and builds for OpenAI, Anthropic and Azure OpenAI clients.
  • Who it fits. Teams that want to start with consulting and move into a build.
  • Pricing. Not published. Project, dedicated team, consulting-led or hybrid models.
  • Proof. No public case study found. (Mobisoft Infotech)

It offers four engagement models: project-based delivery, a dedicated engineering team, consulting-led implementation and a hybrid that starts with consulting and moves into development. A simple server takes two to four weeks, and complex multi-agent integrations take 6 to 12 weeks.

Cons

  • No named MCP case studies or price on the page

7. Braincuber, best for a published price band

Braincuber describes itself as building production-grade MCP servers with auth, rate limiting and observability, in TypeScript and Python, connected to CRMs, ERPs and data warehouses.

Why it's on the list

  • What they do. Custom MCP servers in TypeScript and Python with auth, rate limiting and observability, over CRMs, ERPs and data warehouses.
  • Who it fits. Buyers who want a budget range before the first call.
  • Pricing. Published bands: $15,000 to $40,000 for one system, $40,000 to $120,000 for a suite, $120,000 to $250,000 for enterprise. (Braincuber)
  • Proof. No public case study found.

Its structured data lists a price range of $15,000 to $250,000. The FAQ breaks it down as $15,000 to $40,000 for a single-system server, $40,000 to $120,000 for a three-to-five system suite with shared auth, and $120,000 to $250,000 for an enterprise suite with SOC 2-aligned controls and audit logs.

Cons

  • No timeline or named client on the service page

How we ranked these MCP development companies

We looked for a dedicated MCP service page on the company's own site, not a general AI page with one line about MCP. The questions were whether the firm describes authentication and permissions, whether it states a timeline, whether it publishes a price or says so plainly, whether it names shipped MCP work, and whether it maintains the server after launch. Where a site was silent, we wrote "not published". We did not test any vendor hands-on, and we did not use third-party review scores.

We left out the firms that publish the main MCP roundups and the large consultancies, so this list shows options you will not see on every other page.

How to choose an MCP development company

1) Is MCP the right layer?

One script calling one API does not need MCP. It earns its place when several agents or clients share the same tools. Wiserbrand says as much on its page, and our MCP development agency guide lays out the same test.

2) What does the firm do about access?

Ask who can call which tool, how identity is passed and which actions need a person to approve. NINtec, Terralogic and AY Automate all describe this on their pages. A firm that cannot answer it is selling a demo.

3) What will it cost?

Published numbers vary widely. Braincuber lists $15,000 to $40,000 for a single-system server. Saigon Technology publishes an hourly rate. Most others, including AY Automate, scope after a call. Our breakdown of AI agent development cost shows how to compare quotes.

4) Who maintains it?

The protocol keeps moving. Ask for a maintenance plan, versioned tool definitions and handover documentation. Then start with one narrow server and widen scope after real Claude clients have used it.

Talk to AY Automate about an MCP server

If you have a system you want an agent to reach and need to know which tools are worth exposing, book a free consultation about our MCP development service. On a 30-minute call we look at the systems and the jobs and tell you what to build first.

FAQ

What is an MCP development company?

It is a firm that designs and builds Model Context Protocol servers, which expose your data and actions to AI agents through a standard interface. Good ones also handle authentication, permissions, logging, testing and maintenance.

How much does MCP server development cost?

It depends on the number of systems, the access model and the security requirements. Braincuber lists $15,000 to $40,000 for a single-system server. Saigon Technology publishes an hourly rate up to $46. Most other firms, including AY Automate, scope the project after a discovery call.

How long does it take to build an MCP server?

A first server takes two to five weeks at AY Automate. Mobisoft Infotech lists two to four weeks for a simple build, Wiserbrand four to eight weeks, and NINtec six to eight weeks for one system and 10 to 14 for several.

Do I need a custom MCP server or can I use an existing one?

Existing servers cover common SaaS products. A custom server is what you need when an agent must reach your own databases, internal APIs or product. See our list of the best MCP servers to check what already exists before you commission a build.

Which MCP development company is best for regulated industries?

NINtec lists fintech and healthcare work with audit-log retention and compliance regimes. Saigon Technology lists HIPAA and PCI-DSS experience and ISO 27001 certification. AY Automate has built access controls for an aerospace ERP vendor working under FAA, ITAR and AS9100 compliance.

Can the same MCP server work with Claude, GPT and Gemini?

Yes, because MCP is an open protocol. Terralogic says its servers work with Claude, GPT-4o and Gemini, and Mobisoft Infotech makes the same point about one server serving any compatible client.

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About the Author
Robel
Robel
AI Engineer

Robel engineers production-grade automation pipelines at AY Automate, focused on integrations, reliability, and the systems that keep client workflows running.

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