--- title: "MCP Cloud vs Manufact Cloud: Hosting Guide 2026" canonical: https://wavect.io/blog/mcp-cloud-vs-manufact-cloud/ language: en description: "Compare MCP Cloud vs Manufact Cloud for MCP server hosting, pricing, deployment, governance and security. Use the 7-day production buyer checklist." image: "https://wavect.io/img/blog/headers/header_mcp-cloud-vs-manufact-cloud.png" --- [**Back**](/blog/overview/) [![Kevin Riedl](/img/team/kevin.webp)](/team/kevin-riedl/) [Kevin Riedl](/team/kevin-riedl/) https://linkedin.com/in/wsdt 13 min read · 10 Aug 2026 Last reviewed August 10, 2026 [**Next**](/blog/hyperagent-review-cloud-ai-agents/) # MCP Cloud vs Manufact Cloud: Which MCP Hosting Platform Fits? TL;DR MCP Cloud and Manufact Cloud both host remote MCP servers, but they start from different buyer problems. MCP Cloud is the stronger first candidate for centralized inventory, multi-server composition, governance, persistent agents and enterprise deployment flexibility. Manufact Cloud is the stronger first candidate for GitHub-native builds, branch previews, MCP Apps, observability and distribution. Neither platform replaces object-level and tenant-level authorization in your own API and data layers. Compare the same bounded server, identities, failures, audit export and expected monthly workload on both platforms. Choose the operating model that clears your production, recovery and exit gates with the least ongoing ownership. **MCP Cloud and Manufact Cloud both host remote Model Context Protocol servers, but they package the buying decision differently.** MCP Cloud presents a broad control plane for hosted servers, third-party inventory, aggregation, security policies and agent hosting. Manufact Cloud presents a developer platform for building, previewing, deploying, observing and distributing MCP servers and MCP Apps. That makes the short list easier. Choose the operating model before comparing feature counts. Teams consolidating many existing servers, deployment locations and agent tools should investigate MCP Cloud first. Product teams shipping an MCP server or interactive MCP App through a Git-based workflow should investigate Manufact first. Choose neither until the platform passes your own authorization, data-residency, audit, recovery and exit tests. This guide owns the provider-selection query. It does not repeat our [stateless MCP server migration checklist](/blog/mcp-stateless-server-migration-2026/), [enterprise MCP authorization architecture](/blog/enterprise-mcp-authorization-architecture/) or analysis of why [MCP is not the complete security boundary](/blog/mcp-security-boundary-data-level-access-control/). Independence and trademarks Wavect publishes this page and is itself a provider, so we have a commercial interest in it. We are not affiliated with, endorsed by or partnered with the other companies named here, and all third-party company names, brands and trademarks are the property of their respective owners. Statements about other providers are taken from publicly available sources, primarily their own published pages, as of the review date shown on this page, and may have changed since. Please verify them directly before you decide. This page was written to the best of our knowledge and with the intent to remain objective. If you believe anything here is inaccurate or unfair, write to us and we will correct it: [office@wavect.io](mailto:office@wavect.io) ## What is the direct answer? **MCP Cloud is the stronger first candidate for centralized MCP inventory, aggregation, flexible deployment and cross-server governance. Manufact Cloud is the stronger first candidate for GitHub-native development, branch previews, MCP Apps and a focused build-to-production workflow. The correct choice depends on your control boundary, not the longer feature list.** ## Why use cloud hosting for an MCP server? A remote MCP server is useful when several people, agents or customer applications need the same always-available endpoint. The official [MCP architecture overview](https://modelcontextprotocol.io/docs/learn/architecture) distinguishes local stdio servers, which typically serve one client, from remote servers using Streamable HTTP, which typically serve many clients. Hosting adds TLS, runtime management, secrets, scaling and logs around that endpoint. It does not make the tool safe by itself. The server still decides what each identity may read or change, how downstream credentials are exchanged, which tenant a request belongs to and whether a retried write can run twice. A platform can provide useful controls, but it cannot infer your business authorization model from a tool schema. ## MCP Cloud vs Manufact Cloud at a glance | Decision factor | MCP Cloud | Manufact Cloud | | --- | --- | --- | | Primary product shape | MCP control plane, hosting, inventory, aggregation, governance and agent hosting | Developer cloud for MCP servers and MCP Apps from build through distribution | | Best opening question | How do we control and expose our growing MCP estate? | How do we ship and operate this MCP product quickly? | | Deployment workflow | GitHub deployment, registry deployment and managed or enterprise deployment options | GitHub or CLI deployment, framework detection, branch previews and managed runtime | | Composition | Multi-MCP servers, toolsets and one access point are prominent product concepts | One server, app or agent is the central project object, with gateway and distribution tooling | | Developer feedback | Inspector, logs, traces and tool customization | Preview URLs, build logs, sessions, gateway requests, evals and publish checks | | Deployment control | Publicly describes managed cloud, hybrid and fully on-premise enterprise models | Managed cloud regions and custom Dockerfile support; the mcp-use framework remains portable | | Pricing shape | Usage entry point plus bundled individual, professional, team and business offers | Credit-based Free, Hobby, Startup and Enterprise plans | This table is a buying map, not a security certification or performance benchmark. We reviewed public documentation on 10 August 2026 and did not receive vendor access, payment or editorial approval. ## What does MCP Cloud optimize for? MCP Cloud makes the most sense when the problem is larger than deploying one repository. Its public product describes hosting your own servers, deploying third-party servers, collecting them in an inventory, applying authentication and guards, composing tools into focused toolsets, combining servers behind one endpoint and hosting persistent agents. Its [public pricing page](https://mcp-cloud.io/pricing) displayed a $19 Starter package, $49 Personal, $149 Professional and $499 Premium plan when checked, alongside usage-based offers and a custom Business plan. The packages mix compute, server counts, agent hosting, toolsets and security features, so compare the cost of your complete workload rather than one headline price. Confirm limits, included credits, retention and overages in the checkout or contract. For enterprise architecture, the vendor's [company deployment overview](https://mcp-cloud.io/companies) describes fully managed cloud, hybrid and fully on-premise options. That is the most material differentiator for a buyer with private networks or a control-plane residency requirement. Treat it as a starting point for procurement. Ask which components, telemetry, updates and support channels remain vendor-operated in each model. ## What does Manufact Cloud optimize for? Manufact Cloud is shaped more like a vertical developer platform. A server can start from a GitHub repository, template, coding agent or existing URL. The documented workflow covers builds, per-branch previews, production promotion, secrets, custom domains, logs, session replay, traffic analytics, publish checks and connections to clients such as ChatGPT, Claude, Cursor and Codex. Manufact's [public pricing page](https://manufact.com/pricing) displayed a Free plan with two projects and $5 of monthly credits, Hobby at $25 per month, Startup at $250 per month and custom Enterprise pricing when checked. Analytics retention, team size, preview deployments, cold-start prevention and region access vary by plan. Model your request volume, execution duration, retention and preview usage because included credits alone do not predict the production bill. The vendor's [MCP hosting documentation](https://manufact.com/platform/hosting) emphasizes GitHub-triggered builds, a preview URL for each branch, managed TLS, custom domains, environment-specific secrets, framework detection and Dockerfile support. This is compelling when the team already ships through pull requests and wants the MCP endpoint to follow the same review rhythm. ## Which platform is better for teams and governance? MCP Cloud puts governance, inventory and composition near the center of its product language. Manufact documents organization roles, projects and custom Enterprise roles. The important detail is granularity, not whether a page says RBAC. Manufact's [roles and permissions reference](https://docs.manufact.com/dashboard/permissions) says its built-in Member role is operational, not read-only: members can create, update and delete servers, deployments, agents, API keys, domains and GitHub integrations. Fine-grained custom roles are an Enterprise feature. A small product team may value that simplicity. A regulated team should price custom roles into the decision and test separation of deployer, security reviewer, billing administrator and read-only auditor. For either vendor, request evidence for SSO enforcement, service accounts, key rotation, immutable audit export, retention, regional processing, backup recovery, incident notification and tenant isolation. A screenshot of a policy dashboard is not proof that a downstream ERP rejects a cross-tenant object ID. ## What security questions should you ask before buying? The official [MCP security best practices](https://modelcontextprotocol.io/docs/tutorials/security/security_best_practices) explicitly reject token passthrough and cover confused-deputy and server-side request forgery risks. Use those requirements as acceptance tests, not as optional hardening after launch. - **Token audience:** does the server reject a token issued for another resource? - **Downstream identity:** are user tokens exchanged for narrow downstream credentials instead of forwarded? - **Tenant source:** does tenant identity come from verified claims rather than a tool argument? - **Tool exposure:** can each client, team and environment receive a minimal allowlist? - **Request destinations:** are redirects, metadata endpoints, webhooks and user-supplied URLs protected against SSRF? - **Audit evidence:** can you export caller, tool, arguments classification, policy decision, downstream result and correlation ID without leaking secrets? - **Recovery:** can you revoke credentials, roll back a deployment and reconstruct the affected calls within your incident target? - **Exit:** can the server code, configuration, secrets map and client URLs move without rewriting the business integration? ## When should you choose MCP Cloud? - You already have several hosted, self-hosted or third-party MCP servers and need one inventory. - You want to compose a smaller approved tool surface from several servers. - Hybrid or on-premise deployment is a procurement gate. - Persistent agent hosting and MCP management should live in one commercial platform. - A centralized security and access layer matters more than branch-preview ergonomics. Validate the precise enterprise boundary. “On-premise” can mean anything from a full private control plane to a data-plane proxy that still depends on a vendor SaaS console. ## When should you choose Manufact Cloud? - Your team is building a new MCP server or MCP App and wants the shortest path from Git push to a testable URL. - Each pull request should receive a production-like preview endpoint. - Developers need framework presets, logs, sessions, analytics, evals and publish checks in one workflow. - ChatGPT or Claude distribution and interactive MCP Apps are part of the product roadmap. - You value an open-source framework that can keep the server code portable. The [mcp-use repository](https://github.com/mcp-use/mcp-use) publishes its TypeScript and Python framework under the MIT license and separates the framework from Manufact Cloud deployment. That improves code portability, but cloud configuration, analytics history and operational workflows still need an explicit exit plan. ## When should you self-host or build a custom MCP platform? Self-host when runtime location, network policy, unit economics or integration control is strategic and your team can own the operational burden. Build a custom layer when the real problem is not generic hosting but a product-specific authorization and transaction boundary across SAP, manufacturing systems, customer accounts, payments or regulated records. Do not rebuild a dashboard merely to avoid a subscription. Price on-call ownership, TLS and DNS, secret rotation, autoscaling, logs, trace retention, abuse controls, OAuth interoperability, backups, region failover, client compatibility and incident response. A managed platform often wins for the first bounded server. A custom architecture becomes rational when the business rules or compliance boundary are the differentiator. Wavect's [AI enablement and MCP engineering service](/services/ai-enablement/) can design that boundary, while the [Twinsoft AI case study](/case-studies/twinsoft-ai/) shows our approach to engineering and validating an AI product. Use the broader [custom software versus off-the-shelf guide](/software-development-guide/custom-software-vs-off-the-shelf/) when ownership and vendor fit matter beyond MCP. ## How should you run a seven-day MCP hosting pilot? 1. **Deploy the same bounded server.** Use three read tools and one reversible write tool against synthetic or staging data. 2. **Connect the same clients.** Test the actual ChatGPT, Claude, IDE or internal host versions your users need. 3. **Exercise identity.** Test two users, two roles and two tenants, including denied cross-tenant IDs and expired credentials. 4. **Ship a change.** Measure preview creation, approval, rollout, rollback and client-visible schema drift. 5. **Break dependencies.** Trigger an upstream timeout, malformed response, rate limit, revoked secret and duplicate write retry. 6. **Export evidence.** Confirm logs answer who called which tool, under which policy, against which deployment and with what result. 7. **Calculate accepted cost.** Include platform fees, usage, engineer time, security review, support and the cost of retained environments. Score deployment time, accepted call rate, p95 latency, denied-action accuracy, rollback time, audit completeness and monthly cost at expected volume. The winner is the platform that clears your production gates with the least ongoing ownership, not the one that produces the fastest hello-world endpoint. ## Frequently Asked Questions ### What is the difference between MCP Cloud and Manufact Cloud? MCP Cloud emphasizes a broad control plane for hosting, inventory, aggregation, governance and persistent agents. Manufact Cloud emphasizes the developer lifecycle for MCP servers and MCP Apps, including Git-based deployment, branch previews, observability and distribution. ### Which is cheaper, MCP Cloud or Manufact Cloud? There is no universal cheaper option because the plans bundle different units. MCP Cloud mixes servers, agents, toolsets and security features. Manufact uses project limits, credits, retention and team features. Price the same workload, environments, retention and support level on both. ### Can MCP Cloud run on-premise? MCP Cloud publicly describes managed cloud, hybrid and fully on-premise enterprise deployment models. Confirm exactly which control-plane, telemetry, update and support components remain vendor-operated in the proposed contract. ### Can Manufact Cloud deploy from GitHub? Yes. Manufact documents GitHub-connected builds, automatic deployment from a production branch and preview environments for other branches. It also offers a CLI and custom Dockerfile support. ### Does managed MCP hosting solve authorization? It can provide authentication, policy and logging components, but your server still owns object-level and tenant-level authorization, downstream credential exchange and safe side effects. Test these controls at the API and data layers. ### Should an enterprise self-host its MCP servers? Self-host when network location, data control, economics or custom policy is strategic and the team can operate the full platform. Otherwise, a managed host can reduce undifferentiated infrastructure work for a bounded pilot. ## Research boundary *Status checked 10 August 2026. This comparison uses public product pages, documentation, pricing and open-source repositories. We did not run paid production workloads, inspect either vendor's private infrastructure, conduct a penetration test or review an enterprise contract. Product claims are attributed to their publisher. Prices, features and terms can change, so verify them during procurement.* ## Final thoughts MCP Cloud and Manufact Cloud overlap at remote MCP hosting, but they start from different buyer problems. MCP Cloud starts with control across an MCP estate. Manufact starts with the development and release loop for an MCP product. Shortlist by boundary. If you need inventory, composition and flexible enterprise deployment, test MCP Cloud first. If you need Git-native previews, MCP Apps and a tight path from code to distribution, test Manufact first. Put the same server, identities, failures and audit questions through both. Then buy the operating model that clears your production gates, or keep the runtime under your control when the integration itself is strategic. ## You may also like.. [**Design Enterprise MCP Authorization** Map OAuth, token exchange, scopes and tenant isolation before a remote server reaches production data.](/blog/enterprise-mcp-authorization-architecture/) [**AI enablement vs generic AI consulting** Compare implementation ownership, production controls and handover before choosing an AI partner.](/compare/ai-enablement-vs-generic-ai-consultancy/) Agent engineering ## Continue through this cluster [Start with the cornerstone**Graph Engineering for AI Agents: When Does a Knowledge Graph Pay Off?**](/blog/graph-engineering-ai-agents/) - [How to Make AI Writing Sound Human with Agent Skills](/blog/ai-writing-agent-skills/) - [NVIDIA NOOA Review: Are Object-Oriented Agents Production-Ready?](/blog/nvidia-nooa-object-oriented-agents-review/) - [Strix AI Pentesting: 30-Day Pilot and Buying Guide for 2026](/blog/strix-ai-pentesting-pilot-guide-2026/) - [Hyperagent Review: Cloud AI Agents Without a Server](/blog/hyperagent-review-cloud-ai-agents/) - [Hark Handoff Review: The Agent That Actually Clicks](/blog/hark-handoff-computer-use-agent-review/) Inbox, without the noise ## Follow the work that matters to you Get a short email when we publish something new. Follow the whole blog or only the problems you care about. [**Back**](/blog/overview/) [![Kevin Riedl](/img/team/kevin.webp)](/team/kevin-riedl/) [Kevin Riedl](/team/kevin-riedl/) https://linkedin.com/in/wsdt 13 min read · 10 Aug 2026 Last reviewed August 10, 2026 [**Next**](/blog/hyperagent-review-cloud-ai-agents/) New posts by email × × Get new posts by email A short email when we publish. Free, no tracking. ## Structured Data ```json { "@context": "https://schema.org", "@graph": [ { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ], "employee": [ { "@id": "https://wavect.io/team/kevin-riedl/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Kevin Riedl", "url": "https://wavect.io/team/kevin-riedl/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } }, { "@id": "https://wavect.io/team/christof-jori/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Christof Jori", "url": "https://wavect.io/team/christof-jori/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } } ], "founder": [ { "@id": "https://wavect.io/team/kevin-riedl/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Kevin Riedl", "url": "https://wavect.io/team/kevin-riedl/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } }, { "@id": "https://wavect.io/team/christof-jori/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Christof Jori", "url": "https://wavect.io/team/christof-jori/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } } ], "legalRepresentative": [ { "@id": "https://wavect.io/team/kevin-riedl/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Kevin Riedl", "url": "https://wavect.io/team/kevin-riedl/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } }, { "@id": "https://wavect.io/team/christof-jori/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Christof Jori", "url": "https://wavect.io/team/christof-jori/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } } ], "name": "Wavect GmbH", "subjectOf": { "@id": "https://wavect.io/verified-claims.json#dataset", "@type": "Dataset", "creator": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] }, "description": "A machine-readable registry of quantitative and qualitative claims published by Wavect, with review dates, localized page appearances and public third-party citations where available.", "inLanguage": "en", "isAccessibleForFree": true, "license": "https://creativecommons.org/licenses/by/4.0/", "name": "Wavect verified publication claims", "url": "https://wavect.io/verified-claims.json" }, "url": "https://wavect.io/" }, { "@id": "https://wavect.io/team/kevin-riedl/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Kevin Riedl", "sameAs": [ "https://www.wikidata.org/wiki/Q139796365", "https://www.linkedin.com/in/wsdt", "https://github.com/wsdt" ], "url": "https://wavect.io/team/kevin-riedl/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } }, { "@id": "https://wavect.io/team/christof-jori/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Christof Jori", "sameAs": [ "https://www.wikidata.org/wiki/Q139796367", "https://www.linkedin.com/in/jocr77/", "https://github.com/jo-chris" ], "url": "https://wavect.io/team/christof-jori/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } }, { "@id": "https://wavect.io/#website", "@type": "WebSite", "inLanguage": [ "en", "de", "es", "zh" ], "name": "Wavect", "potentialAction": { "@type": "SearchAction", "query-input": "required name=search_term_string", "target": { "@type": "EntryPoint", "urlTemplate": "https://wavect.io/search/?q={search_term_string}" } }, "publisher": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] }, "url": "https://wavect.io/" }, { "@id": "https://wavect.io/blog/mcp-cloud-vs-manufact-cloud/#webpage", "@type": "WebPage", "dateModified": "2026-08-10", "inLanguage": "en", "isPartOf": { "@id": "https://wavect.io/#website", "@type": "WebSite" }, "lastReviewed": "2026-08-10", "url": "https://wavect.io/blog/mcp-cloud-vs-manufact-cloud/" } ] } ``` ```json { "@context": "https://schema.org", "@type": "BlogPosting", "abstract": "MCP Cloud and Manufact Cloud both host remote MCP servers, but they start from different buyer problems. MCP Cloud is the stronger first candidate for centralized inventory, multi-server composition, governance, persistent agents and enterprise deployment flexibility. Manufact Cloud is the stronger first candidate for GitHub-native builds, branch previews, MCP Apps, observability and distribution. Neither platform replaces object-level and tenant-level authorization in your own API and data layers. Compare the same bounded server, identities, failures, audit export and expected monthly workload on both platforms. Choose the operating model that clears your production, recovery and exit gates with the least ongoing ownership.", "articleBody": " Blog overview/AI and agents/Agent engineering MCP Cloud vs Manufact Cloud: Which MCP Hosting Platform Fits? TL;DR MCP Cloud and Manufact Cloud both host remote MCP servers, but they start from different buyer problems. MCP Cloud is the stronger first candidate for centralized inventory, multi-server composition, governance, persistent agents and enterprise deployment flexibility. Manufact Cloud is the stronger first candidate for GitHub-native builds, branch previews, MCP Apps, observability and distribution. Neither platform replaces object-level and tenant-level authorization in your own API and data layers. Compare the same bounded server, identities, failures, audit export and expected monthly workload on both platforms. Choose the operating model that clears your production, recovery and exit gates with the least ongoing ownership. MCP Cloud and Manufact Cloud both host remote Model Context Protocol servers, but they package the buying decision differently. MCP Cloud presents a broad control plane for hosted servers, third-party inventory, aggregation, security policies and agent hosting. Manufact Cloud presents a developer platform for building, previewing, deploying, observing and distributing MCP servers and MCP Apps. That makes the short list easier. Choose the operating model before comparing feature counts. Teams consolidating many existing servers, deployment locations and agent tools should investigate MCP Cloud first. Product teams shipping an MCP server or interactive MCP App through a Git-based workflow should investigate Manufact first. Choose neither until the platform passes your own authorization, data-residency, audit, recovery and exit tests. This guide owns the provider-selection query. It does not repeat our stateless MCP server migration checklist, enterprise MCP authorization architecture or analysis of why MCP is not the complete security boundary. Independence and trademarks Wavect publishes this page and is itself a provider, so we have a commercial interest in it. We are not affiliated with, endorsed by or partnered with the other companies named here, and all third-party company names, brands and trademarks are the property of their respective owners. Statements about other providers are taken from publicly available sources, primarily their own published pages, as of the review date shown on this page, and may have changed since. Please verify them directly before you decide. This page was written to the best of our knowledge and with the intent to remain objective. If you believe anything here is inaccurate or unfair, write to us and we will correct it: office@wavect.io What is the direct answer? MCP Cloud is the stronger first candidate for centralized MCP inventory, aggregation, flexible deployment and cross-server governance. Manufact Cloud is the stronger first candidate for GitHub-native development, branch previews, MCP Apps and a focused build-to-production workflow. The correct choice depends on your control boundary, not the longer feature list. Why use cloud hosting for an MCP server? A remote MCP server is useful when several people, agents or customer applications need the same always-available endpoint. The official MCP architecture overview distinguishes local stdio servers, which typically serve one client, from remote servers using Streamable HTTP, which typically serve many clients. Hosting adds TLS, runtime management, secrets, scaling and logs around that endpoint. It does not make the tool safe by itself. The server still decides what each identity may read or change, how downstream credentials are exchanged, which tenant a request belongs to and whether a retried write can run twice. A platform can provide useful controls, but it cannot infer your business authorization model from a tool schema. MCP Cloud vs Manufact Cloud at a glance Decision factorMCP CloudManufact Cloud Primary product shapeMCP control plane, hosting, inventory, aggregation, governance and agent hostingDeveloper cloud for MCP servers and MCP Apps from build through distribution Best opening questionHow do we control and expose our growing MCP estate?How do we ship and operate this MCP product quickly? 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Manufact Cloud emphasizes the developer lifecycle for MCP servers and MCP Apps, including Git-based deployment, branch previews, observability and distribution." }, "name": "What is the difference between MCP Cloud and Manufact Cloud?" }, { "@type": "Question", "acceptedAnswer": { "@type": "Answer", "text": "There is no universal cheaper option because the plans bundle different units. MCP Cloud mixes servers, agents, toolsets and security features. Manufact uses project limits, credits, retention and team features. Price the same workload, environments, retention and support level on both." }, "name": "Which is cheaper, MCP Cloud or Manufact Cloud?" }, { "@type": "Question", "acceptedAnswer": { "@type": "Answer", "text": "MCP Cloud publicly describes managed cloud, hybrid and fully on-premise enterprise deployment models. Confirm exactly which control-plane, telemetry, update and support components remain vendor-operated in the proposed contract." }, "name": "Can MCP Cloud run on-premise?" }, { "@type": "Question", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Manufact documents GitHub-connected builds, automatic deployment from a production branch and preview environments for other branches. It also offers a CLI and custom Dockerfile support." }, "name": "Can Manufact Cloud deploy from GitHub?" }, { "@type": "Question", "acceptedAnswer": { "@type": "Answer", "text": "It can provide authentication, policy and logging components, but your server still owns object-level and tenant-level authorization, downstream credential exchange and safe side effects. Test these controls at the API and data layers." }, "name": "Does managed MCP hosting solve authorization?" }, { "@type": "Question", "acceptedAnswer": { "@type": "Answer", "text": "Self-host when network location, data control, economics or custom policy is strategic and the team can operate the full platform. Otherwise, a managed host can reduce undifferentiated infrastructure work for a bounded pilot." }, "name": "Should an enterprise self-host its MCP servers?" } ] } ```