Most companies that want AI agents to work with their own systems hit the same wall. The model can reason, but it cannot see the CRM, the ERP, the document store or the internal API without a connection someone has to build and secure. The Model Context Protocol is now the standard way to build that connection, and a custom MCP server is often the first real integration project an AI program takes on.
Building a demo server takes an afternoon. Building one that checks who is calling, limits what each tool can do, logs every action and keeps working as the protocol changes is real engineering. This list ranks ten MCP development companies that offer custom MCP server design, build and support as a dedicated service, based on each firm’s own service pages as of November 2026. If you want ready-made servers instead, start with our list of the best MCP servers.
| Company | Best For | Known For |
| RTS Labs | Regulated US enterprises | Readiness assessment and a fixed MCP sprint to production |
| 10Clouds | Financial services | Secure MCP builds with OAuth 2.1 and least-privilege design |
| The Software House | Connecting business tools at scale | Database, CRM, document and DevOps connectors |
| RaftLabs | A first, tightly scoped server | Read-first servers with fixed-price first releases |
| Softjourn | Ticketing and fintech platforms | Testing across Claude, ChatGPT and Cursor |
| Saigon Technology | Offshore delivery with certifications | ISO-certified builds over ERP and CRM systems |
| Bitontree | Agent-heavy SaaS products | MCP infrastructure for a 130-agent platform |
| Intuz | Multi-agent systems | MCP servers with memory layers and orchestration |
| WiserBrand | Ecommerce and business systems | A governed MCP layer, including Magento |
| AY Automate | Fast first builds | Production servers in two to five weeks |
RTS Labs, based in Glen Allen, Virginia, runs MCP work as a structured program. Engagements can start with a two-week MCP Readiness Assessment, then move into a five-stage MCP Sprint that the firm scopes at four to eight weeks to production. Services cover custom server development, authentication and authorization, multi-tenant architecture, observability and audits of servers a client already runs.
Its emphasis is enterprise control: per-user authentication, permission checks on the server side and audit logs. The team builds in Python, TypeScript, Java, Go, .NET and Rust, and focuses on financial services, insurance, logistics and real estate, which makes it a strong fit for regulated companies that need MCP to pass security review.
10Clouds is a Warsaw-based software house with a dedicated MCP server development practice. Its scope covers architecture, server implementation, configuring tools and resources around APIs and internal integrations, debugging, and deployment as either a local stdio server or a remote cloud service. The firm highlights OAuth 2.1, API key management and least-privilege design.
Its strongest context is financial services, including banking, payments, insurance and leasing clients. 10Clouds also points to AIConsole, its own AI platform, as a working example of exposing prompts, resources and connectors in an MCP-style way.
The Software House, headquartered in Gliwice, Poland, with an office in Warsaw, builds MCP servers around the systems companies use every day. Its service lists database servers for natural-language queries and reporting, CRM connectors for Salesforce, HubSpot and custom CRMs, document access for SharePoint, Google Drive and Confluence, API gateways for REST and microservices, and integrations with Grafana, Datadog, GitHub, Jira and Jenkins.
The firm stresses permission-aware access, audit trails and keeping connection credentials hidden from the model, and builds servers meant to work across several AI platforms. Buyers can start with a free MCP consultation or a five-day roadmap sprint.
RaftLabs, with offices in Dublin and Ahmedabad, keeps MCP projects deliberately narrow. Its servers expose a small, typed set of business tools to compatible clients, with identity checks, least privilege, write confirmation, audit logs and client compatibility tests built in. Access is read-first by default, and any write goes through preview, approval and safeguards against duplicate actions.
The commercial terms are unusually clear: a first release starts at $10,000 at a fixed price, billing runs by milestone, and a 60-day post-launch warranty applies. It suits a company that wants to prove one connection works before funding a wider program.
Softjourn builds custom MCP servers and integrates them with existing APIs, databases and internal tools, with auth and access scoping, maintenance and support. A distinctive part of its process is testing each server across several AI clients, including Claude, ChatGPT and Cursor, so it behaves consistently wherever users connect.
The firm has more than 25 years in software and deep roots in ticketing, fintech and payments, with offices in the United States, Ukraine, Poland and Brazil. In ticketing, its MCP approach sends buyers to the client’s own checkout, so the transaction and customer record stay with the client.
Saigon Technology, a Vietnam-based software company, offers MCP server development built over the systems enterprises already run, including ERP, CRM, proprietary databases and internal APIs. Its service covers design and development, MCP client integration, testing, maintenance and versioning, and it will start from proven open-source server frameworks where that saves time.
The firm cites ISO 9001 and ISO 27001 certification, more than 14 years of delivery and over 850 projects. That combination makes it a practical choice for companies that want offshore cost with formal quality and security processes.
Bitontree builds and runs production MCP servers that give AI agents governed, audited access to tools and data. Its headline example is custom MCP infrastructure for GrowStack’s marketing automation platform, where more than 130 AI agents reach tools and services across the product through MCP.
The firm pairs MCP with retrieval work from its RAG practice, so agents get both a knowledge layer and the ability to act. It is a good fit for SaaS companies adding many agents to one product.
Intuz offers MCP server development as part of a broader agent engineering practice. Its scope includes custom server architecture, connector development, AI agent integration, multi-agent workflow orchestration, tool and API integration, vector database integration and memory layers, through to deployment, monitoring and ongoing support.
That breadth suits projects where the MCP server is one part of a larger system of cooperating agents. Buyers who need a single focused connector may find a smaller specialist faster.
WiserBrand designs MCP servers that expose clearly defined tools, resources and prompts to approved MCP clients, as a governed layer between AI applications and business data. Engagements can focus on a single connection or set up a reusable MCP layer for several AI use cases, delivered either as a locally launched server or a remote service.
Its case work includes a custom MCP server for Magento, which makes it a natural option for ecommerce teams. The MCP practice draws on the firm’s wider consulting, data, cloud and QA teams.
AY Automate builds production MCP servers with a small set of well-described tools, caller checks, limits on what each tool can do, logging and tests. The firm scopes a first server at two to five weeks after a discovery call, and connects it to Claude, Claude Code and other MCP clients.
Its stack includes TypeScript, Python, PostgreSQL, OAuth and Docker. It is a practical choice for smaller companies that want one well-built server quickly rather than a long program.
Ask for a server they have actually put into production, not a demo repository. A good partner can explain how the server authenticates users, which tools it exposes, how writes are confirmed and what happens when a downstream system fails.
The biggest MCP risks are over-broad access and actions taken on the wrong user’s behalf. Look for per-user authentication, least-privilege tool design, audit logs and a plan for prompt injection. Our guide on how to secure AI agents and MCP integrations covers what to ask, and our list of MCP security tools covers what to run alongside the server.
Claude, ChatGPT, Cursor, Copilot and internal agents do not all behave the same way. Confirm which clients the firm tests against and whether the server will be remote or local, since that choice shapes authentication and hosting.
Not every integration needs custom code. For common SaaS tools, integration platforms and gateways may be faster; compare the options in our MCP gateways list and our Zapier MCP vs Composio vs Pipedream MCP comparison. Custom servers make sense for internal systems, proprietary data and workflows no platform covers.
The protocol keeps evolving, and the 2026-07-28 specification changed how servers and clients connect. Agree up front on who updates the server, who monitors it and how quickly security fixes ship.
RTS Labs and 10Clouds lead this list for enterprises and financial firms that need MCP to pass a strict security review, while The Software House is strongest when the goal is connecting many everyday business tools. RaftLabs and AY Automate suit companies that want one focused server delivered quickly, and Softjourn, Saigon Technology, Bitontree, Intuz and WiserBrand each bring a clear specialty, from cross-client testing to agent-heavy SaaS and ecommerce. Whichever you choose, insist on production evidence, least-privilege design and a maintenance plan before the first line of code.