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We are one of the companies on this list; we explain the criteria we used so you can judge for yourself. Updated October 2026.
How do you choose an MCP server development company?
Choose an MCP server development company by checking three things: that it has built and run MCP servers beyond a demo, that it can explain how it handles OAuth, per-user permissions and write actions, and that it tests servers with the real assistants your customers use. The protocol itself is the easy part. The quality of a server shows in tool design, security and behavior after weeks of real use.
MCP is young. The protocol was introduced in late 2024, and few agencies have a dedicated MCP service yet. That makes public evidence more important than usual: a service page with a clear process, technical articles that go beyond definitions, and case studies. If you are still deciding whether you need a server at all, read what an MCP server is first. If you want to see what the build involves, our step-by-step MCP server guide walks through it.
What criteria did we use for this list?
We looked for companies with public, verifiable MCP work as of October 3, 2026, using each company's own website and its Clutch profile. No company paid to be included, and we did not rank by review scores, which change often and are hard to compare.
| Criterion | What we checked |
|---|---|
| MCP is visible in public material | A dedicated MCP service page, or a technical article on building or securing MCP servers |
| Engineering, not only advice | The company builds and integrates software, not only strategy |
| Wider AI work | AI integration, agents or AI products listed as a service |
| Active in 2026 | Live website and current AI content |
| International clients | Work for US, UK or EU buyers |
| Transparent basics | Location, team size band and minimum project size on Clutch, where listed |
We marked the type of evidence for each firm, because a dedicated service page is a stronger signal than a single article. The order below groups firms with dedicated MCP service pages first; it is not a quality ranking.
Best MCP server development companies in 2026
Boldare
- HQ: Gliwice, Poland
- Best for: Companies that want MCP work alongside product design and development
- Website: boldare.com
Boldare was founded in 2004 and positions itself around AI-native product design and development. It has a dedicated MCP server development service page and one of the larger sets of MCP articles we found, including a walkthrough of connecting an internal API to Claude, Cursor and OpenCode, a comparison of MCP servers and REST APIs, and an article presented as an MCP case study. Clutch lists a minimum project size of $25,000 and a team of 50-249.
10Clouds
- HQ: Warsaw, Poland
- Best for: AI-first product development, with a focus on agentic features in fintech
- Website: 10clouds.com
10Clouds was founded in 2009 and describes itself as an AI-first product development company, with a visible focus on agentic AI for fintech. It has a dedicated MCP server development service page. Clutch lists a team size of 50-249; the company's own site mentions more than 200 people.
unicrew
- HQ: Krakow, Poland (also Lviv, Ukraine)
- Best for: Companies that want an AI-focused team that also ships its own AI products
- Website: unicrew.com
unicrew focuses on AI software development, including voice AI, and sells its own AI products. It has a dedicated MCP development service page, a guide to securing MCP servers, and technology pages for the Anthropic and ChatGPT APIs. Clutch lists a minimum project size of $25,000 and a team of 50-249.
Lytvynov Production (our company)
- HQ: Dnipro, Ukraine
- Best for: SaaS and B2B products that want a first MCP server built over their existing API by a senior team, with a fixed quote
- Website: lytvynov-production.com
Lytvynov Production is a web, mobile and AI development company founded in 2020 by Anton Lytvynov, with a team of 10-49 people. We have a dedicated MCP server development service and run MCP servers in production for our own internal project board and site content system, used daily by our team and our AI coding agents. We build remote servers over Streamable HTTP with OAuth, per-user permissions, drafts instead of instant publishing, audit logs and tests with real assistants, usually in 2 to 6 weeks. Our own AI SaaS, AI Resume Master, reached 50,000 monthly active users; on Upwork we hold a 5.0 rating and 100% Job Success. We are not an Anthropic or OpenAI partner. Our minimum project size is $10,000, and a focused first server usually fits into one $10,000, 4-week AI Sprint.
Pharos Production
- HQ: Kyiv, Ukraine
- Best for: Custom software in fintech, health and Web3 with MCP integration
- Website: pharosproduction.com
Pharos Production builds custom software with a focus on fintech, healthcare and Web3, and appears in Clutch's list of AI companies in Ukraine. It has published an engineering article on MCP server development. Clutch lists a team of 50-249 (the company mentions more than 90 engineers) and a minimum project size of $10,000.
Neoteric
- HQ: Gdansk, Poland
- Best for: Connecting AI agents to existing internal systems
- Website: neoteric.eu
Neoteric combines software development with AI implementation and states more than 300 completed projects. Its article "MCP in Practice: How to Connect AI Agents to Your Internal Systems Without a Rewrite" addresses a common enterprise case: giving agents access to internal tools without rebuilding them. Clutch lists a minimum project size of $10,000 and a team of 50-249.
Cleveroad
- HQ: New York, USA (also Kharkiv, Ukraine)
- Best for: Larger custom software projects such as CRM and ERP with AI features
- Website: cleveroad.com
Cleveroad is a larger custom software company working on AI, mobile apps and CRM and ERP systems. It has published an article on MCP security best practices. Clutch lists a team of 250-999 and a minimum project size of $10,000.
Geniusee
- HQ: United States (also Kyiv, Ukraine)
- Best for: Enterprises that want AI consulting together with custom development
- Website: geniusee.com
Geniusee combines AI consulting with custom software development. It has published an article on using MCP for enterprise AI integration. Clutch lists a team of 250-999 and a minimum project size of $25,000.
How do these MCP companies compare?
| Company | HQ | Team (Clutch) | Min. project (Clutch) | Public MCP evidence |
|---|---|---|---|---|
| Boldare | Gliwice, Poland | 50-249 | $25,000 | Service page, several articles, case study article |
| 10Clouds | Warsaw, Poland | 50-249 | Not listed | Service page |
| unicrew | Krakow, Poland | 50-249 | $25,000 | Service page, security guide |
| Lytvynov Production | Dnipro, Ukraine | 10-49 | $10,000 | Service page, guides, own servers in production |
| Pharos Production | Kyiv, Ukraine | 50-249 | $10,000 | Engineering article |
| Neoteric | Gdansk, Poland | 50-249 | $10,000 | Article on MCP for internal systems |
| Cleveroad | New York, USA | 250-999 | $10,000 | Security article |
| Geniusee | United States | 250-999 | $25,000 | Enterprise integration article |
What should you ask an MCP server development company?
Ask about the parts that only show up in production. Any capable firm can connect a demo server to Claude; the difference is in how it answers questions about permissions, write actions and testing.
- Tool design. How do you decide which tools to expose, and how do you write descriptions so models choose correctly?
- Authentication. How will our customers sign in? How are scopes, revocation and tenant isolation handled?
- Write actions. Which actions will create drafts, which need confirmation, and which are excluded?
- Prompt injection. What happens when a tool reads an email or document that contains instructions aimed at the model?
- Testing. Which assistants will you test with, how many realistic requests, and will we get the results?
- Operations. Where will the server run, what is logged, and who updates it when the protocol or SDKs change?
- Ownership. Will the code, the tool specification and the test set be ours?
For a broader checklist that works for any AI vendor, see our guide on how to choose an AI development company.
Agency, AI specialist or your own team?
The right choice depends on what else needs building. If the MCP server is one part of a larger AI program, such as agents across many internal systems, a larger company with broad AI and integration work fits. If you need one good server over an existing API, a small senior team is usually faster. If your developers have time and your API is clean, they can build it themselves with the official SDKs.
| Situation | Usually the best fit |
|---|---|
| MCP as part of a wider AI or agent program across many systems | Larger engineering company |
| One MCP server over an existing SaaS API, clear scope | Small or mid-size senior team |
| MCP plus a redesign of the product experience | Product design and development agency |
| Internal tools for your own engineers, clean API, spare capacity | Your own team with the official SDKs |
If the bigger goal is an agent that runs whole workflows, also see our list of the best AI agent development companies; agents usually reach your systems through MCP servers too.
Next step
If you are comparing MCP server development companies, send the same short brief to three of them, including us: a link to your API documentation, the five things users would ask an assistant to do, and who your users are. See our MCP server development services or contact us. After a short scoping call you receive a tool list and a fixed quote.
