MCP server development companies compared (2026): which fits your situation

Last verified: October 2026· list

Lists like this usually hide paid placements or quietly rank the author first. This one does neither: nobody paid to be here, it is ordered by the kind of buyer each option suits, and because we sell this work too, we have left ourselves out of the comparison and disclosed our fit separately below.

How we picked these

We read each option’s public material — site, docs, case studies, talks, repositories — and record the specific signal we checked, with the month we checked it. Inclusion means an option publicly offers this work and has at least one checkable public signal. It is not proof of results; use the questions further down to test that yourself.

This is a buyer-fit comparison, not a ranking. We group entries by buyer type — services firms that build custom MCP servers, products and reference implementations you adopt, and community directories — and the order reflects that grouping, not merit.
What we did: read each firm’s or project’s public material (website, docs, case studies, talks, repositories) and recorded the specific public signal we checked, with the month we checked it. We did not verify how many servers anyone has shipped, or for whom.
Inclusion means the firm or project publicly offers MCP server development, an MCP server product, or a server catalog, and has at least one checkable public signal. It is not proof of production deployments.
Agent Month builds MCP servers, so it is one of the options in this category. We therefore leave it out of the comparison and disclose our own fit separately.

What to weigh

Criterion	Weight	What to check
Production servers they can show you	high	Ask to see an MCP server they built for production use — code, a redacted design, or a reference call — with auth, audit, and observability wired in.
Auth + access control	high	Check for read-only defaults, per-user OAuth, scoped credentials, and audit logging — not just a tool wrapper.
Public footprint	medium	Look for open-source work in MCP or adjacent agent infrastructure that you can read for yourself.
Vendor independence	medium	Check that they will build on top of your stack rather than route everything through a single vendor gateway.

The options, by buyer type

Grouped by the kind of buyer each option suits. The order is not a ranking, and no placement is paid.

Boldare
Engineering firm
Mid-market product teams that need MCP servers as part of a larger product build.
- Larger product build
- Mid-market product team
What they do
- MCP server development as part of full-stack product builds
- UX and design-led delivery
Strengths
- Strong full-stack product engineering bench
- Good fit when MCP is one slice of a larger product
Limitations
- MCP is one capability among many; not an MCP specialist
- Less of a fit for pure internal-tool MCP work
Pricing
Per-engagement; mid-market
Signal
Frequently listed in MCP server development listicles (checked June 2026)
Visit Boldare
Intuz
Engineering firm
Teams that want MCP server development bundled with broader AI consulting.
- Bundled AI consulting
- Generalist services buyer
What they do
- MCP server development
- Generative AI consulting and integration
Strengths
- Larger delivery footprint than boutique firms
- Familiar with regulated-data environments
Limitations
- Generalist AI consultancy; MCP is one of many capabilities
- Less open-source footprint
Pricing
Per-engagement
Signal
Frequently cited in MCP server company listicles (checked June 2026)
Visit Intuz
Anthropic
Vendor product
Teams that want the official reference MCP server for a major system (Postgres, GitHub, Slack, etc.).
- Official reference servers
- Self-host and self-build
What they do
- Maintains a growing library of official MCP servers
- Reference implementations and docs
Strengths
- Best-of-class quality on the systems they support
- Open source, free to use
Limitations
- Only covers a small fraction of the systems teams actually want to expose
- No custom-server work; you build or hire for the rest
Pricing
Free / open source
Signal
The standard reference for "official" MCP servers (checked June 2026)
Visit Anthropic
Composio
Vendor product
Teams that want a managed catalog of pre-built MCP servers across many SaaS tools.
- Off-the-shelf SaaS connectors
- Managed catalog buyer
What they do
- Hosted catalog of MCP servers (200+ integrations)
- Auth + execution infrastructure
Strengths
- Fastest path to "agents can talk to SaaS X"
- Handles auth refresh tokens, rate limits, retries
Limitations
- Closed-source product, not a custom server
- Less of a fit for internal systems (Postgres, internal APIs, deploy)
Pricing
Free + usage tiers
Signal
Common starting point for "I need MCP for SaaS" (checked June 2026)
Visit Composio
MCP.so (mcp-get / open-mcp)
Open-source project
Developers who want a community-maintained directory of MCP servers.
- Developer discovery
- Community servers
What they do
- Open directory of community MCP servers
- Quick install scripts
Strengths
- Free, open, growing fast
- Good place to see what the community is building
Limitations
- No production hardening, no SLA
- Quality varies — every team should audit auth and rate-limit behavior
Pricing
Free
Signal
Standard starting point for discovery (checked June 2026)
Visit MCP.so (mcp-get / open-mcp)

Disclosure

We’re one of the options: where Agent Month fits, and where it doesn’t

We sell this work, so we are not in the comparison above. Judge us on the same questions you would put to anyone else.

Fits

Engineering teams that need a small number (roughly 1–6) of internal MCP servers — for systems such as Postgres, Datadog, Linear, Snowflake, Salesforce, or internal APIs — built over 3–6 weeks.
Teams that want per-user OAuth, scoped credentials, secret injection at the boundary, and audit logging into their existing observability stack designed in from the start.
Teams that want the server in their own repo, on their own infrastructure, built by senior engineers without a separate BA / PM layer.

Doesn’t fit

A 100-server rollout or a large multi-team programme — our bench is small and suits roughly 1–10 server builds.
You want a hosted MCP gateway or a managed catalog of SaaS connectors — we don’t sell one; a catalog product is the better fit for off-the-shelf SaaS.
You need a firm with published, named customer case studies for MCP work — we don’t have any yet.

Evidence you can check

ormai (github.com/neul-labs/ormai) — open-source library for scoped, governed database access by AI agents.
agentvfs (github.com/neul-labs/agentvfs) — open-source workspace runtime and execution boundary for AI agents.
Pricing published on our service page: $25–75k per server build, $3–8k/mo maintenance (agentmonth.com/services/mcp-server-builds).
No named customer case studies published yet.

What separates a good vendor from a bad one

The comparison above is our read. This is how to form your own — the things that actually predict whether an engagement works.

A REST wrapper is not an MCP server

The cheapest version of this project generates one tool per existing API endpoint and calls it done. It technically speaks the protocol and it works badly, because an agent presented with sixty thin CRUD tools cannot reliably choose between them. A good MCP server exposes a small number of task-shaped tools that match what someone would actually want done. That design work is the engagement; the protocol plumbing is the easy part.

Authorisation is the hard problem, not authentication

Proving who is calling is well-trodden. Deciding what that identity may do through an agent, in a multi-tenant system, when the agent is acting on instructions that may include untrusted text, is where these projects succeed or fail. Ask how tenant isolation is enforced at the tool layer and what stops a tool being invoked with another tenant's identifiers.

Assume the input is hostile

Anything an agent has read can influence what it calls — a support ticket, a web page, a document. That makes prompt injection a live authorisation concern rather than a theoretical one. The mitigations are unglamorous: least-privilege scoping per tool, explicit approval for destructive actions, and audit logs that record what was called with which identity.

Check they build for remote use, not just local

A server that only ever runs locally over stdio for one developer is a different artefact from one that serves your customers remotely with OAuth. If the goal is exposing your product to agents, you need the second, and the requirements — transport, auth, tenancy, rate limiting, observability — are substantially heavier.

Questions to ask on the first call

Each one is chosen because the answer is hard to fake and tells you something the website won't.

1
How will you decide what the tools are, rather than mirroring our API?
The answer separates firms that have designed for agent use from firms that will run a generator over your OpenAPI spec. You want to hear about task decomposition and discipline about tool count.
2
How is multi-tenant isolation enforced at the tool boundary?
This is where a serious implementation differs from a demo. Passing a tenant identifier as a tool argument the model can set is a common and serious mistake — identity must come from the authenticated session, not from the model.
3
What happens when a tool call originates from injected instructions?
A credible answer describes least-privilege scoping, approval gates on destructive actions, and audit trails. An answer that treats this as the model provider's problem has not thought about the threat.
4
What observability ships with it?
Without per-call logging of identity, arguments, and outcome, you cannot debug agent behaviour or investigate an incident. It is much harder to retrofit than to include.
5
Who maintains this as the protocol evolves?
MCP is moving quickly. A server built against a snapshot with no maintenance plan becomes stale, and catching up later usually costs more than staying current.

Red flags

None of these are disqualifying on their own. Two or more together usually are.

A tool count in the dozens for a modest API.
It is the signature of endpoint mirroring. Selection accuracy degrades as tools multiply and overlap, so a large tool count usually predicts an agent that picks the wrong one.
Tenant or user identifiers passed as model-supplied tool arguments.
Anything the model can set, injected content can influence. Identity belongs in the authenticated session, and a design that gets this wrong has a cross-tenant access path by construction.
Prompt injection dismissed as the model vendor's responsibility.
Your server decides what a tool call is permitted to do. That control point is yours regardless of which model is calling, and a firm that does not see it will not defend it.
No story for approval on destructive operations.
Agents retry and occasionally misfire. Deletes, payments, and outbound messages need an explicit gate — its absence turns an ordinary mistake into an incident.

How these engagements are priced

The pricing model shapes the incentives more than the rate does.

Model	Fits when	Watch for
Fixed-scope internal server	Exposing an internal system to your own engineers' agents.	Internal does not mean unauthenticated. Scoping still matters when the caller is an employee's agent reading untrusted tickets.
Customer-facing remote server	Making your product callable by your customers' agents.	This is a product surface with a support burden, versioning policy, and uptime expectations — price it as a product, not a project.
Build plus maintenance retainer	You want to track protocol changes without owning that work.	Define what maintenance covers. Protocol updates, security patches, and new feature work are three different things and are often quietly conflated.
Design review of an existing server	You already built one and want the auth and tool design checked.	Cheap and high-value, but only if the reviewer will actually push back. Ask what their last review concluded.

What we didn't include

Cloud hyperscalers (AWS, GCP, Azure) — they ship reference MCP servers, but do not do bespoke server builds
Recruiters and freelance marketplaces
Anyone shipping only an LLM gateway (LiteLLM, Portkey, OpenRouter) — not an MCP server shop

How to pick

Match the buy to the firm, not the other way around. A boutique engineering firm is not a substitute for an enterprise consultancy; a vendor product is not a substitute for either.

If you are…	Pick	Why
Team has 1–6 internal systems to expose, and wants them done in 3–6 weeks	Agent Month (us — see disclosure)	Fixed-scope custom builds in your repo and on your infrastructure. No published case studies yet; the public evidence is our open-source ormai and agentvfs repos.
Team wants MCP as part of a larger product build	Boldare	Full-stack product engineering; a fit when MCP is one slice of the build.
Team wants a managed catalog of pre-built servers for SaaS tools	Composio	Hosted catalog of pre-built servers; handles auth and retries.
Team needs a reference implementation of an official server	Anthropic	Official reference implementations; you self-host.

Frequently asked questions

How long does it take to build a production MCP server?

A focused 3–6 week engagement per server, assuming clear auth, a test environment, and a named internal owner. The first server takes longer (the audit + patterns are set); subsequent servers reuse them.

What is the difference between building an MCP server and using Composio or MCP.so?

Composio and MCP.so are catalogs of pre-built servers for popular SaaS tools. For internal systems (Postgres, your deploy pipeline, your own APIs) there is no catalog — you build the server. The catalogs are great for "agents need to talk to Slack"; they do not help with "agents need to talk to our internal deploy system".

How is MCP server development priced?

Most engagements are fixed-scope per server ($25–75k typical for a production-grade server with auth, audit, observability), with optional maintenance retainers. Some shops do outcome-priced work.

Do I need to build MCP servers if I already have function-calling / tool use?

MCP gives you a portable, typed, discoverable protocol. Function-calling / tool use is provider-specific (OpenAI tools ≠ Claude tool use ≠ Gemini function calling). MCP is the abstraction that lets the same server work across Claude Code, Cursor, Cline, and any future MCP-capable client.

Related guides

MCP

MCP server development companies compared (2026): which fits your situation

How we picked these

What to weigh

The options, by buyer type

Boldare

Intuz

Anthropic

Composio

MCP.so (mcp-get / open-mcp)