Top MCP Server Development Companies (2026): 11 Compared

Short answer: Boldare, RaftLabs and Bitontree publish the strongest public evidence of MCP server work in October 2026. Boldare shows production servers and an open-source test tool, RaftLabs publishes the most detailed security scope and a starting price, and Bitontree documents MCP infrastructure behind 130+ agents. The right MCP server development company still depends on your stack, your risk and your budget.

Disclosure: NextCTL publishes this article and includes itself. We scored NextCTL on the same criteria as everyone else, and it does not rank first. No company paid to be listed.

Data checked: October 19, 2026, from each company's own website. Scores are our editorial judgment based on public evidence only.

The Model Context Protocol (MCP) is the open standard that lets AI clients such as Claude, ChatGPT, Cursor or your own agents call tools and read data through one consistent interface. Building a server is easy to demo and hard to make safe, so the vendor you pick matters more than the SDK you use.

How did we evaluate MCP server development companies?

We read each company's MCP service page, case studies and engineering posts, and we scored only what we could link to. We did not use review-site star ratings, and we did not contact vendors.

Criterion	Weight	What earned points
Public evidence of shipped MCP servers	30	Named, described MCP deployments, open-source servers or tools
Tool and resource design, least privilege	20	Narrow tools, read-first defaults, explicit scopes
Authentication and write-action safety	20	OAuth or delegated identity, approval or confirmation for writes
Testing, evaluation and audit logging	15	Adversarial tests, compatibility tests, per-call logs
Pricing and trust transparency	15	Published prices, timelines or fixed-price packages; plain limitations

Two firms often named in other lists were left out. Klavis AI's homepage now describes training environments for AI agents rather than MCP development services. Rapid Innovation's MCP page describes MCP as prompt, persona and context design rather than protocol servers, so we could not score it on the same basis.

Which MCP server development company scores highest?

#	Company	Base (from its site)	Best for	Public MCP evidence	Published pricing	Score /100
1	Boldare	Poland	Teams that want proof first	Production servers, open-source MCP Farmer	Fixed-price packages, no amount	86
2	RaftLabs	Dublin, Ireland	Security-heavy single-system builds	Detailed scope; no named MCP case yet	From $10,000	81
3	Bitontree	Ahmedabad, India	Multi-agent SaaS platforms	GrowStack MCP infrastructure	Not published	73
4	Intuz	San Ramon, CA and Ahmedabad	SMB and SaaS connectors	Service page and MCP guides	Not published	69
5	Azumo	San Francisco	US-time-zone nearshore teams	Service page, SOC 2 stated	Not published	66
6	LOW/CODE Agency	Miami, FL	Claude Code and developer tooling	Public build guide	Not published	63
7	10Clouds	Warsaw	Fintech and remote servers	Service page	Not published	59
8	NextCTL (publisher)	Delaware LLC, Dhaka delivery	SMB systems with strict approvals	Service page and guide; no case studies yet	Not published	58
9	Simform	Not stated on pages checked	Azure and Microsoft shops	MCP inside agentic SDLC offer	Not published	55
10	Leanware	US-focused (HQ not verified)	Teams that also need agents	Open-source ClickUp MCP server	Not published	52
11	Neoteric	Gdansk, Poland and New York	Architecture advice before a build	MCP architecture article	Not published	46

The 11 companies, ranked by score

1. Boldare

Best for: buyers who want to see working MCP servers before signing.

MCP evidence: Boldare's case study post describes a public RFQ server that lets an AI agent submit a project brief, a Netlify CMS server its marketing team uses daily, and a RAG prototype connected to Claude and Cursor through MCP. It also built MCP Farmer, an open-source CLI that probes servers before agents touch them.

Strengths: a 48-hour to five-day fixed-price blueprint, 2 to 8 week builds and a maintenance retainer are all spelled out.

Limitations: OAuth support is listed in the higher tier, so confirm which package includes it. Two of the five examples are internal tools.

2. RaftLabs

Best for: one client, one system and a security review you must pass.

MCP evidence: the service page covers delegated identity, read-first tools, write confirmation, idempotency, treating tool output as untrusted, and named client compatibility tests.

Strengths: the most specific threat model we found, plus a published starting price of $10,000 for a focused release.

Limitations: RaftLabs states it does not yet publish a named MCP server outcome case, so ask for comparable integration work.

3. Bitontree

Best for: SaaS platforms running many agents.

MCP evidence: its MCP page says it built custom MCP infrastructure for GrowStack AI, giving 130+ agents governed access to tools.

Strengths: tool calls carry the caller's permissions rather than a shared service account, with tool-use logging and monitoring.

Limitations: much of the page is generic marketing copy, and no price or timeline is published.

4. Intuz

Best for: SMBs and SaaS products that need connectors to CRMs, ERPs and databases.

MCP evidence: a dedicated service page and several MCP build and cost guides.

Strengths: connectors with scoped permissions, credential isolation and rate limits; a typical 4 to 8 week MVP; industry notes for healthcare, finance and legal.

Limitations: we did not find a named MCP deployment on the service page itself.

5. Azumo

Best for: US companies that want nearshore engineers in their time zone.

MCP evidence: a service page covering custom servers in Python or TypeScript, RBAC, SSO, audit logging and VPC or on-prem deployment.

Strengths: states SOC 2 compliance and Latin American teams working US hours.

Limitations: the page names no MCP client deployment, and write-action approval is not described.

6. LOW/CODE Agency

Best for: teams standardizing on Claude Code.

MCP evidence: a detailed build guide and an offer to wrap internal REST APIs as typed, Zod-validated tools; it is a member of Anthropic's Claude Partner Network.

Strengths: clear SMB focus and practical developer tooling.

Limitations: the published material centers on local stdio servers for developers rather than remote, multi-user servers.

7. 10Clouds

Best for: fintech teams and remote servers for external clients.

MCP evidence: a service page covering tools, resources and prompts, stdio or remote hosting, OAuth 2.1 and least privilege.

Strengths: security basics named up front.

Limitations: its main proof point, the in-house AIConsole platform, is described as similar to MCP, not as an MCP deployment.

8. NextCTL (publisher of this article)

Best for: small and mid-sized businesses connecting agents to CRMs, help desks and databases with strict approval rules.

MCP evidence: our MCP service page and step-by-step build guide. Servers are read-only by default, writes can require a person's approval, tool output is treated as untrusted, and every call is logged.

Strengths: a documented tool catalogue reviewed with your team before launch, plus tests that include malicious inputs.

Limitations: we have no published case studies yet (clients are still approving them) and no third-party reviews. We publish no price list. Not a fit if you need a one-off script or a single fixed workflow.

9. Simform

Best for: enterprises on Azure that want MCP inside a wider AI software-delivery program.

MCP evidence: its Agentic SDLC page lists MCP server development for secure tool and data access.

Strengths: policy-as-code controls, audit trails and Microsoft partner credentials.

Limitations: MCP is one component of a large program, not a standalone offer.

10. Leanware

Best for: companies that want MCP alongside managed AI agents.

MCP evidence: an open-source ClickUp MCP server on its GitHub.

Strengths: strong agent practice (see our agentic AI list).

Limitations: no dedicated MCP service page, and the repository is small.

11. Neoteric

Best for: architecture advice before you commit to MCP.

MCP evidence: a September 2026 article on connecting agents to internal systems with ownership, permissions and monitoring.

Limitations: no MCP service page or named deployment found.

Which company fits your situation?

• SMB or SaaS, first server: Intuz, RaftLabs, NextCTL.
• Claude-centered developer tooling: LOW/CODE Agency, Boldare.
• Healthcare: Bitontree says its healthcare systems are built inside HIPAA controls with signed BAAs and FHIR integration with Epic, Cerner and Athena. Intuz cites HIPAA-ready patterns. Neither names a healthcare MCP deployment, so ask for a BAA, an audit-log sample and a reference.
• Enterprise and Microsoft stack: Simform, Azumo.

What does building an MCP server involve?

A server exposes tools (actions), resources (readable data) and prompts to an MCP client, usually over stdio for local use or HTTP for remote use. The official build-a-server guide and Cloudflare's remote MCP server guide show the mechanics. The real work is deciding which actions to expose, how identity flows through, what needs approval, and how you will test and log it.

A typical engagement runs in four steps. Discovery picks one system and one job, such as reading support tickets or drafting CRM updates. Tool design turns that job into a small catalogue of named tools with typed inputs, clear descriptions and a read or write label. Build and harden adds authentication, per-user scopes, rate limits, approval for writes and structured logs. Test and launch runs the server against the clients you actually use, with malformed and malicious inputs, before real agents get access. Keep the first server small: five well-described tools beat thirty vague ones, because the model picks tools from their descriptions.

How should you choose an MCP server development company?

• Ask for one MCP server running in production, not a demo.
• Get a tool list showing which tools read and which change data.
• Confirm auth: OAuth 2.1 or delegated user identity, never one shared admin key.
• Require confirmation or approval for writes, with idempotency on retries.
• Ask how they handle prompt injection and tool poisoning in returned content.
• Ask for a sample audit log: user, tool, arguments, result.
• Get named, tested clients and protocol versions in writing.
• Clarify who maintains the server when the spec or your APIs change.

How much does MCP server development cost and how long does it take?

Few vendors publish numbers. RaftLabs states a starting price of $10,000 for a focused release. Boldare quotes 48 hours to five business days for a fixed-price blueprint and 2 to 8 weeks for a build. Intuz cites a typical 4 to 8 week MVP. Cost rises with the number of systems, tenants, write paths and security reviews, so scope one system first.

Ready to scope your MCP server?

If you want a second opinion on your tool list or a build plan for one system, talk to NextCTL or read our MCP server development service. We will tell you if a direct API integration is the simpler answer.