Best MCP Server Hosting Platforms: 2026 Comparison

"MCP hosting platform" gets used loosely. Some of the products in this space are managed hosting, some are DIY frameworks you deploy yourself, and some are registries or integration tools that get lumped in because they're MCP-adjacent. This list tries to be honest about which is which, so you're comparing the right things.

1. MCPCore

MCPCore is a fully managed platform: create a server, write tools in a browser-based IDE, and get a live HTTPS endpoint at name.mcpcore.io immediately. Four authentication modes (Public, API Key, OAuth 2.0, Bearer Token), AES-256 encrypted secrets, per-server rate limiting, and real-time analytics are built in for every server, with no infrastructure to provision. Enterprise plans support running MCPCore as a self-hosted Docker container when full data sovereignty is required. Free tier available, no credit card required.

2. Cloudflare Workers + Agents SDK

Cloudflare doesn't sell "MCP hosting" as a product. It provides a framework: the McpAgent class and workers-oauth-provider library for building and deploying your own MCP server on Cloudflare Workers, plus an AI Playground for testing. You write the server, Cloudflare runs the compute. Deployed servers land on *.workers.dev addresses, and billing runs through standard Workers and Durable Objects pricing rather than a dedicated MCP plan. This is a strong option if you want to build on Cloudflare's edge network and are comfortable being the one who assembles auth, rate limiting, and observability around it.

3. AWS Bedrock AgentCore Gateway

AWS's answer for teams already running on AWS infrastructure. AgentCore Gateway can turn existing APIs and Lambda functions into MCP tools with minimal custom code, with built-in inbound and outbound authorization and serverless scaling. AWS added support for the 2026-07-28 MCP specification through a documented configuration update, so it's actively maintained against the current spec. This is an enterprise-oriented option, well suited to teams that want MCP tooling without leaving the AWS ecosystem.

4. Glama

Glama combines a public MCP server registry with actual hosting and a gateway. You deploy from a GitHub repo, a Dockerfile, npm, or PyPI, and every deployment starts private, with the option to list it publicly in Glama's directory later. Hosting is metered by usage on top of a workspace plan, and open-source MCP servers can be hosted for free. A reasonable choice if being discoverable in a public MCP directory is part of your goal, not just running the server privately.

5. Klavis AI

A managed hosting platform specifically for MCP servers, aimed at teams that don't want to stand up and secure each server themselves. Klavis offers a free tier alongside paid plans; exact paid pricing is not consistently published, so budget-conscious teams should confirm current rates directly rather than relying on older published figures.

6. Smithery (now part of Arcade.dev)

Smithery was one of the earlier MCP registry-and-hosting platforms, but it was acquired by Arcade.dev in August 2026. If you're evaluating Smithery today, you're really evaluating Arcade.dev's roadmap for the product, not a standalone company. Worth checking Arcade.dev's current offering directly rather than relying on older Smithery-specific writeups, since terms and hosting plans have changed at least once in 2026 already.

7. Composio

Composio is an integration and tool-gateway platform with over 250 pre-built integrations exposed in an MCP-compatible way, rather than a place to host custom MCP servers you write yourself. It's a strong fit if what you need is "connect an AI agent to Slack, Gmail, and a hundred other SaaS tools quickly," and a weaker fit if you're building original tools from scratch. Composio significantly restructured its pricing in August 2026, so check current tiers directly before assuming older published rates still apply.

8. Zapier MCP

Zapier's MCP offering connects AI clients like Claude, ChatGPT, and Cursor to Zapier's existing automation library: thousands of apps and tens of thousands of actions. Like Composio, this is an automation connector rather than a place to host your own custom-written MCP tools. If your team already lives in Zapier, this is likely the path of least resistance for giving an AI access to those same automations.

9. Docker MCP Catalog and Toolkit

Docker's contribution to this space is a catalog of several hundred verified MCP servers packaged as signed container images, plus a Docker Desktop feature for running them locally. Organizations can fork the catalog for a private, internal registry and expose servers through an MCP Gateway. This is closer to a package registry and local development tool than a cloud hosting platform, and it's most relevant if your workflow already centers on Docker and container-based deployment.

10. Self-hosted, DIY

Running your own MCP server on a VPS or in a container, with Nginx for TLS and PM2 or a similar process manager for uptime, remains a completely valid approach. It gives you full control over the network path and runtime, at the cost of building authentication, rate limiting, and observability yourself. Our self-hosted vs managed MCP comparison walks through exactly what that tradeoff looks like.

Choosing Between Them

The honest filter is: are you building custom tools from scratch, or connecting to tools that already exist somewhere else? Composio, Zapier MCP, and to some extent Docker's catalog serve the second case well. MCPCore, Cloudflare, AWS Bedrock AgentCore, Glama, and Klavis AI serve the first, with different tradeoffs between how much infrastructure you manage yourself and how much is handled for you. MCPCore sits at the fully managed end of that range: nothing to provision, auth and secrets built in, and a free tier to try it without commitment.

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Pricing, ownership, and feature details for third-party products change frequently. This comparison reflects information available as of mid-2026; verify current details directly with each provider before making a decision.