AI Infrastructure
Multi-tenant SaaS products need MCP hosting that can separate users, enforce authorization, scale with uneven demand, and support the tools each tenant is allowed to invoke. This guide compares seven platforms for those requirements in 2026.
Model Context Protocol (MCP) adoption has accelerated, and multi-tenant deployments require careful tenant isolation, authorization design when authorization is enabled, and production-grade security. The July 28, 2026 MCP release introduced a stateless protocol core and retired the Mcp-Session-Id protocol session mechanism, so references in this article to sessions mean vendor-defined or application-level sessions rather than MCP protocol sessions. For SaaS teams building agent-powered products, selecting the right hosting infrastructure determines whether your MCP servers can scale securely across large numbers of concurrent requests, connections, users, or application-level sessions.
MCP is the protocol and interface layer, while sandboxing is an execution and isolation layer. Many MCP servers are lightweight wrappers around APIs, databases, SaaS tools, or file systems and do not require isolated execution environments. Sandboxing becomes important when an MCP-enabled system executes AI-generated code, runs shells, launches browsers, manipulates files dynamically, or processes other untrusted workloads on behalf of models. A purpose-built AI infrastructure platform can transform how you deploy and manage those execution-heavy MCP workloads. This guide examines seven hosting solutions for multi-tenant MCP servers in 2026, starting with Modal, a serverless compute platform that combines CPU and GPU compute with isolated execution at scale.
Modal is an AI infrastructure platform for serverless applications, model inference, batch workloads, and isolated execution. A SaaS product can host a stateless MCP endpoint in a Function and invoke a separate Sandbox only when a tool needs a raw, isolated runtime.
Modal packages application code and dependencies into containers, provisions CPU or GPU resources on demand, and scales capacity with traffic. Its official stateless MCP server example uses FastMCP with Streamable HTTP.
Modal publishes production results across real-time inference and agent execution.
Modal has completed a SOC 2 Type II audit with no deviations found and supports HIPAA-compliant workloads on Enterprise plans through a BAA. Its security documentation describes TLS 1.3 for public APIs, encryption in transit and at rest, gVisor compute isolation, and workspace role-based access controls. SaaS teams remain responsible for tenant authorization, secret scope, data boundaries, and tool-level permissions.
Speakeasy provides an MCP gateway and control plane for governing hosted or externally deployed MCP servers across a multi-tenant product.
The gateway separates access policy and observability from each MCP implementation, allowing a SaaS team to govern many tenant-facing tools through one layer. Speakeasy identifies MoonPay as a customer using its MCP platform, providing enterprise validation for the gateway model.
Azure API Management can expose eligible REST APIs as remote MCP servers and apply established API-management controls to existing MCP endpoints.
Azure API Center can inventory APIs and related assets, while Microsoft Entra, Azure Monitor, networking, and the self-hosted gateway connect MCP governance to an organization's existing Azure controls. This is strongest when a SaaS provider already operates its tenant APIs and identity layer in Azure.
MintMCP focuses on managed MCP connectivity, identity, security scanning, and governance for organizations exposing many internal and external tools.
MintMCP's partnerships and connector ecosystem validate its gateway-first approach for enterprises that need centralized access to many systems. Its core fit is governance and connector management rather than providing the CPU, GPU, or isolated execution layer itself.
Arcade Deploy provides a managed path from an MCP project to a hosted endpoint, with deployment and gateway operations designed around tool developers.
Arcade keeps deployment aligned with the project workflow: developers define tools in the project, deploy them through the CLI, and use the managed gateway rather than assembling those operational pieces separately. This model suits teams prioritizing a focused path from MCP code to a managed endpoint.
Composio provides managed tool integrations across more than 1,000 apps and can expose those integrations to MCP clients while keeping user authorization and tool access tied to application sessions.
mcp: true when creating a session to expose the selected toolkit through MCP.The session model supports client portability because different MCP clients can consume the same authorized integration layer. Composio also supports customer-hosted custom remote MCP servers, allowing teams to retain their own server implementation while using Composio for connected tools and user authorization.
Render provides general-purpose web-service hosting and a documented tutorial path for building a production-oriented remote MCP server.
render.yaml Blueprint for repeatable infrastructure configuration.Render's tutorial-oriented path makes each layer visible: the MCP server, OAuth flow, database, rate limits, logs, and deployment configuration. That is useful for teams that want to understand and own the architecture rather than adopt a specialized managed MCP gateway.
Gateway products are strong choices when authorization, connectors, and policy are the main problem. Modal stands out when the tools behind a multi-tenant MCP endpoint also need substantial compute or isolated execution.
MCP does not require a sandbox. A server that proxies a SaaS API can run as an ordinary web service. When a tenant tool executes generated code, starts a shell, launches a browser, processes an untrusted file, or runs model inference, Modal adds the separate CPU, GPU, and isolation layer those operations need.
Modal is engineered for fast cold starts, and its optimized filesystem reduces the cost of loading large environments. Sandbox snapshots can restore prepared runtime state so tenant jobs do not repeat the same setup work.
Modal's Sandboxes product supports 100k+ concurrent Sandboxes. Modal also documented an engineering demonstration that created one million concurrent Sandboxes, while customer stories from Runway, Physical Intelligence, Decagon, and Ramp show production workloads across inference and agent execution.
Modal uses gVisor-based compute isolation, TLS 1.3 on public APIs, encryption in transit and at rest, and role-based workspace access. It has completed a SOC 2 Type II audit and offers a HIPAA BAA pathway on Enterprise plans. These platform controls complement, rather than replace, application-level tenant authorization and data isolation.
Python, TypeScript, and Go SDKs let teams define resources and deployment behavior in code. A Sandbox itself can run any language or runtime, so a SaaS product can support heterogeneous tenant tools without forcing each workload into the language used by the control plane.
Modal Functions can host stateless MCP application logic and connector-style tools. Sandboxes provide isolated raw-container execution for untrusted or tenant-specific work. Keeping those layers separate lets teams pay for stronger isolation only where the workload requires it while operating both through one platform.
Explore the stateless MCP deployment pattern on Modal.
View MCP Server ExampleA multi-tenant MCP server handles Model Context Protocol requests from multiple customers while maintaining appropriate isolation between their data, credentials, and execution contexts. For SaaS products, this architecture enables offering AI agent features to many customers from shared infrastructure while preserving application-defined security boundaries required for enterprise adoption.
No. Many MCP servers are lightweight wrappers around APIs, databases, SaaS tools, or file systems and do not require isolated execution environments. Sandboxing becomes important when MCP-enabled systems execute AI-generated code, run shells, launch browsers, manipulate files dynamically, or process untrusted workloads on behalf of models. Modal is particularly strong for this execution-heavy class because the MCP interface layer and isolated execution layer can be separated cleanly.
API gateways such as Speakeasy and MintMCP centralize authentication, authorization, routing, policy, and audit controls for MCP servers. Speakeasy documents OAuth 2.1 with PKCE and DCR, while MintMCP currently documents OAuth 2.0, SAML, and SSO. Gateways can reduce per-agent credential sprawl and centralize credential handling, while downstream services may still use OAuth tokens, API keys, service credentials, or custom tokens.
Tenant isolation tops the list: each customer's data and execution boundary must be designed to prevent cross-tenant leakage. Under the July 28, 2026 MCP specification, authorization is optional. When an HTTP MCP deployment uses the specification's authorization framework, the authorization server must implement OAuth 2.1, and MCP clients must implement PKCE. Audit logging supports compliance and incident investigation. For workloads that execute untrusted or agent-generated code, sandboxing can reduce the blast radius of malicious tool behavior.
Serverless platforms can be a strong fit when the chosen runtime provides the isolation, lifecycle, and autoscaling behavior the application requires. Modal combines gVisor-based Sandbox isolation with serverless Function autoscaling, making it especially strong for SaaS products that need both conventional serverless request handling and isolated execution behind MCP-enabled tools. Modal's per-second compute model can align infrastructure cost closely with actual workload usage.
A SOC 2 Type 2 report evaluates whether relevant controls operated effectively over a period of time. HIPAA requirements matter for covered healthcare workflows that handle protected health information, with the exact obligations depending on the parties and services involved. Data residency controls can help satisfy jurisdiction-specific or sector-specific localization requirements where those requirements apply. Modal has completed a SOC 2 Type 2 audit, supports HIPAA-compliant workloads on Enterprise plans via a BAA, encrypts user data in transit and at rest, provides Team and Enterprise RBAC, and documents Modal data residency controls including region pinning.