Top MCP Development Companies: Custom MCP Servers and Integrations (2026)

MCP development companies to consider in 2026 include Lexis Solutions, Boldare, Intuz, Concret.io, Applied Agents, IBM (ContextForge) and Klavis AI. The right choice depends on whether you need one secure connector for an existing agent, a production agent built around several internal systems, or a platform that hosts ready-made integrations.

The Model Context Protocol (MCP) is an open standard, introduced by Anthropic in November 2024, for connecting AI models and agents to tools and data. An MCP server exposes a system, such as a CRM, a database or an internal API, as a set of tools an AI client can call. Building one is quick. Building one that is safe to point at company data, holds up in production and keeps working when the underlying APIs change is the part that needs experience.

This guide compares seven companies and platforms, what their public materials say about their MCP work, and the questions to ask before you commission a custom MCP server.

How we selected these companies

We considered the following when choosing which companies to include:

Public MCP offering: a service page, product or open-source project that describes MCP work specifically, not only general AI development.
Production focus: information on authentication, permissions, testing, hosting or maintenance, not only demos.
Range of options: specialist agencies, larger development firms, an enterprise gateway and a hosted platform, so buyers can compare building and buying.
Verifiable details: location, process, timelines or pricing that a buyer can check on the company's own site.

What does MCP development include?

A custom MCP project is more than wrapping an API. The work usually covers:

Tool design: a small set of task-shaped tools, such as "find customer by email" or "create draft refund", rather than one tool per API endpoint. Agents choose tools more reliably when there are fewer, clearer options.
Authentication and permissions: OAuth, per-user or per-tenant scoping, read-only defaults and explicit approval for actions that change data. Permissions should be enforced by the server and the underlying system, not by instructions in a prompt.
Transport and hosting: local servers that run next to a desktop client (stdio) or remote servers over HTTP for shared use, with rate limits and monitoring.
Evaluation: tests that check whether an agent calls the right tool with the right arguments, including difficult and ambiguous requests.
Maintenance: versioning, audit logs and updates when the connected APIs change.

A quick comparison of MCP development companies

| Company | Type | Based in | Best fit | |---|---|---|---| | Lexis Solutions | Agency | Sofia, Bulgaria | MCP as part of a production agent with strict permissions | | Boldare | Agency | Gliwice, Poland | Fixed-scope assessment and build | | Intuz | Agency | San Ramon, US and Ahmedabad, India | MCP plus workflow automation across SaaS tools | | Concret.io | Agency | New York, US and India | Salesforce and HubSpot-centric companies | | Applied Agents | Agency | Not stated on its site | Small teams wanting a first server at a fixed price | | IBM (ContextForge) | Open-source gateway | Global | Enterprises running many MCP servers | | Klavis AI | Hosted platform | Not stated on its site | Products that need ready-made integrations |

Seven MCP development options to consider

1. Lexis Solutions

Lexis Solutions is an AI engineering company headquartered in Sofia, Bulgaria, and a Select Partner in Anthropic's Claude Partner Network. It builds AI agents and multi-agent systems in which the model calls tools instead of answering from memory, including custom MCP servers and tools that connect agents to databases, data warehouses, internal APIs and document stores. That includes sources with no API.

Its approach to MCP is governance-first. Data access is scoped to the user's identity and enforced by the underlying system rather than by prompt instructions, and outputs pass validation gates before they reach users or downstream systems. The team builds with Claude, MCP, the Vercel AI SDK and Mastra. 90% of its engineers are Claude Certified Architects.

Best fit: companies that need MCP as part of a production agent, not only a standalone server, and where permissions and auditability matter. AI agent development at Lexis Solutions

2. Boldare

Boldare is a software development company with its registered seat in Gliwice, Poland, and offices in Warsaw, Wrocław and Kraków. It sells MCP as a productised service in three steps: a fixed-price Blueprint assessment (as little as 48 hours for standard stacks), a custom MCP server build in two to eight weeks, and a maintenance retainer.

Boldare says it runs its own MCP server in production, including a public server that lets AI agents submit project briefs, and it built MCP Farmer, an open-source tool for auditing MCP servers. It describes itself as a member of the Claude Partner Network.

Best fit: buyers who want a packaged, fixed-scope engagement with a clear assessment step. Boldare MCP server development

3. Intuz

Intuz lists offices in San Ramon, California, and Ahmedabad, India, and says it has been in business since 2008. Its MCP service covers custom server design, connectors for SaaS tools, custom APIs and on-premise applications, multi-agent coordination with escalation to people, and memory layers using vector databases.

Intuz says each connector enforces scoped permissions, credential isolation, request validation and rate limits. Its MCP page describes industry use cases in healthcare, e-commerce, finance and logistics rather than named client deployments.

Best fit: companies that want MCP combined with broader workflow automation, with a US-based point of contact. Intuz MCP server development

4. Concret.io

Concret.io lists offices in New York and in Gurugram and Jaipur, India, and describes itself as a Salesforce Select Partner. Its MCP service covers custom servers, security and governance (OAuth 2.1, per-tenant scoping, feature-gated tools and an audit log on every call), connecting legacy systems without public APIs, hosting, and build-versus-buy consulting.

It publishes timeline estimates: two to four weeks for a single-system server and six to 14 weeks for multi-system builds with full authentication and compliance.

Best fit: companies whose AI work centres on Salesforce, HubSpot or Workato. Concret.io MCP development services

5. Applied Agents

Applied Agents builds custom MCP servers for B2B teams of 10 to 200 people. Each project starts with a one-week audit priced at $1,500, followed by a fixed quote. Its published examples are deliberately narrow: CRM access with deletes blocked, document search across a shared drive, read-only SQL for reporting, and helpdesk replies queued as drafts for approval.

It lists agent builds with MCP connections from $12,000 and monitoring and fixes at $2,500 per month. Its site does not state where the company is based.

Best fit: smaller teams that want a first, tightly scoped server with a known price. Applied Agents custom MCP servers

6. IBM (ContextForge)

IBM's open-source ContextForge, published in IBM's GitHub organisation under the Apache-2.0 licence, is a registry and proxy that connects MCP servers, A2A agents and REST or gRPC APIs to AI clients through a single endpoint, with centralised governance, discovery and observability.

It is not a development service in itself, but it addresses a problem large organisations meet quickly: many teams building MCP servers with no shared control point.

Best fit: enterprises that expect to run many MCP servers and want one governed entry point. ContextForge on GitHub

7. Klavis AI

Klavis AI, part of Y Combinator's Spring 2025 batch, provides open-source MCP integrations and hosted MCP servers with built-in OAuth and multi-tenant authentication. Developers can connect its servers from their own backend instead of writing and hosting each integration themselves.

Best fit: product teams that need common integrations quickly and do not need a custom server for an internal system. Klavis AI on Y Combinator

What MCP projects cost and how long they take

Published figures from the companies above give a useful starting range. They are each company's own estimates, not quotes:

Assessment: from about 48 hours (Boldare, standard stacks) to one week (Applied Agents, $1,500).
Single-system server: two to four weeks (Concret.io); two to eight weeks for a custom build (Boldare).
Multi-system builds with full authentication and compliance: six to 14 weeks (Concret.io).
Agent builds with MCP connections: from $12,000 (Applied Agents).

The main cost drivers are the number of systems, whether they have usable APIs, how fine-grained the permissions must be, and whether the server is used by one internal team or exposed to customers.

How to choose an MCP development partner

Ask each candidate the same questions:

Which systems will the server connect to, and do they have APIs? Legacy systems without APIs add work and risk.
Who is the agent acting as? Ask how permissions are enforced. The answer should be the server and the underlying system, not the prompt.
Which actions can change data? Agree which tools are read-only and which need human approval.
How will you test tool use? Ask for evaluation of tool selection and arguments on realistic and difficult requests.
How do you handle untrusted content? Tool results can contain text that tries to steer the model, so write actions need limits regardless of what the model reads.
Who maintains the server when APIs change? Clarify versioning, monitoring and support after launch.
Should we build at all? If a hosted integration covers the system you need, a custom server may not be worth it.

Start with one system and one task

The safest first MCP project connects one system, exposes a handful of read-only tools and measures whether the agent completes a real task more reliably than before. Write actions, more systems and wider access can follow once permissions, logging and evaluation are in place.

If you are planning an agent that needs secure access to internal systems, Lexis Solutions can review the architecture and scope a first MCP server with you.