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Lifetime DealNewRocketHubAI ToolsAI Automation
GetMCP — No-code hosted MCP server builder
Tool Overview
Building an MCP server from scratch means writing auth layers, handling request routing, and managing hosting infrastructure — before a single AI agent can actually call your API. GetMCP removes all of that by letting you create fully hosted, remote MCP servers directly from existing API definitions.
You point it at a cURL command, an OpenAPI or Swagger spec, or a Postman collection, and GetMCP generates the tools, resources, and prompts your AI clients need. The resulting server works with any MCP-compatible client: Claude, Cursor, VS Code, Codex, ChatGPT, and others.
Date added August 19, 2026
Our Take on GetMCP
GetMCP sits in a genuinely useful gap: the Model Context Protocol is now backed by every major AI platform, but standing up a production-ready remote MCP server still requires engineering time most small teams don’t have. This tool collapses that into a dashboard and a spec file.
The import options are the strongest part. If you already have an OpenAPI doc or a Postman collection, you can have a live server in minutes rather than days. The built-in call analytics broken down by date and client type are a nice touch that most comparable tools skip entirely.
The caveat worth noting is that GetMCP is a young product in a fast-moving space. The MCP spec itself updated transport requirements in mid-2026, and whether GetMCP keeps pace with spec revisions will matter for anyone running production workloads. Best suited to developers, indie founders, and small product teams who need AI-agent access to their APIs without hiring a backend engineer to build MCP infrastructure.
At a Glance
What stands out
You can import tools directly from a cURL command, OpenAPI spec, Swagger file, or Postman collection — no manual tool definition required.
Servers are hosted remotely by GetMCP, which means AI clients connect via URL rather than requiring any local setup on the end user's machine.
Call analytics are broken down three ways: by date, by daily volume, and by AI client type — so you can see which agents are actually using your server.
Tools, resources, and prompts are all manageable from a single dashboard, covering the three core MCP capability types the spec defines.
Things to note
GetMCP is a young product and the MCP spec is still evolving rapidly; compatibility with the latest transport and auth spec changes should be verified before production use.
Exact limits on the number of servers, tools per server, or monthly call volume per tier are not publicly detailed, so confirm those caps before purchasing if they matter to your use case.
The platform focuses on building and hosting servers from existing API definitions; it is not a connector library of pre-built integrations like Composio.
Teams relying on advanced OAuth 2.1 flows or multi-tenant authentication should check whether those auth schemes are supported before assuming they work out of the box.
Tiers Comparison
| Feature | Starter | Pro | Business |
|---|---|---|---|
| MCP Servers | Limited | More | High / Unlimited |
| Tools per Server | Limited | More | High / Unlimited |
| Hosted Remote Endpoint | ✅ | ✅ | ✅ |
| OpenAPI / Swagger Import | ✅ | ✅ | ✅ |
| Postman Import | ✅ | ✅ | ✅ |
| cURL Import | ✅ | ✅ | ✅ |
| Call Log Analytics | Basic | ✅ | ✅ |
| Client-Type Analytics | ❌ | ✅ | ✅ |
| Resources & Prompts | ✅ | ✅ | ✅ |
| Export (GetMCP JSON) | ✅ | ✅ | ✅ |
| Best For | Solo developers | Growing teams | Agencies & power users |
Deal Details
Deal TypeLifetime Deal
Current Price$49
Refund PolicySubject to RocketHub's standard refund policy; check the deal page for current terms.
PlatformRocketHub
Founded2024–2025 (est.)
Team SizeSmall team / early-stage
HeadquartersNot publicly disclosed
FundingBootstrapped (no public funding information)
What's Included in the deal
Server Management
Create and manage multiple hosted MCP servers from a single dashboard
Toggle servers between active and paused states without deletion
Full tool CRUD: create, read, update, delete, and duplicate tools within any server
Export tool definitions as GetMCP-format JSON for backup or portability
Import from cURL, OpenAPI, Swagger, or Postman collection
Analytics & Capabilities
Paginated, filterable MCP tool call logs for audit and debugging
Daily call statistics broken down by date for usage trend tracking
Call analytics grouped by AI client type (e.g., Claude, Cursor, Codex)
Manage MCP resources and reusable prompt templates alongside tools
Delete or filter specific call log entries for data hygiene
Founder and Company Information
GetMCP was built by a small team focused on making the Model Context Protocol accessible to developers and teams without dedicated infrastructure resources. The product emerged in the period following Anthropic’s introduction of MCP in late 2024, as demand for hosted, no-code MCP server solutions grew alongside rapid protocol adoption.
Specific founder details are not publicly available at this time.
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GetMCP's Key Features
Multi-Format Import — Build MCP tools by importing a cURL command, an OpenAPI specification, a Swagger file, or a Postman collection — whichever format your existing API docs are already in.
Hosted Remote Servers — Every MCP server GetMCP creates is hosted remotely and accessible by URL, so AI clients connect without any local install, config file editing, or Docker setup.
Tools, Resources & Prompts — The dashboard covers all three MCP capability types: callable tools, readable resources, and reusable prompt templates — matching the full Model Context Protocol spec.
Call Log Analytics — Paginated call logs with optional filtering let you review what AI agents called and when; daily stats and client-type breakdowns show which tools see the most traffic.
Server State Control — Toggle any server between active and paused states from the dashboard, without deleting it — useful for testing environments or temporarily disabling a server during maintenance.
Export & Portability — Export your tool definitions as a GetMCP-format JSON file, making it straightforward to back up configurations or move them to another instance.
GetMCP's Use Cases
Developers who have an existing REST API with an OpenAPI or Swagger spec and want AI agents to call it without building MCP infrastructure from scratch.
Indie founders and small product teams shipping AI-agent features who need a hosted MCP endpoint quickly and don't have dedicated backend engineering capacity.
Agencies building AI-powered client tools that need to expose multiple client APIs to different AI assistants from a single managed platform.
Technical teams already using Postman for API development who want to reuse existing collections to create agent-accessible MCP tools without redundant work.
Watch it in action
Similar Alternatives to GetMCP
HasMCP
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Composio
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RapidMCP
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User Reviews for GetMCP
Marcus D.
★★★★★
I had a Postman collection for our internal CRM API sitting unused for months. Imported it into GetMCP and had a working MCP server in under twenty minutes. Our Claude-based agent can now pull and update records directly — no custom backend code. That alone justified the price.
Priya T.
★★★★☆
The OpenAPI import is the killer feature here. It correctly parsed a fairly complex spec with nested objects and generated clean tool definitions I only had to tweak slightly. The analytics dashboard showing which AI clients are hitting the server is a genuinely useful addition I didn't expect. Dropped one star because the documentation on server limits could be clearer.
James K.
★★★★★
As an agency we're managing multiple client APIs and needed a way to expose them to different AI tools without spinning up individual custom servers. GetMCP's multi-server dashboard handles exactly that. Being able to pause a server without deleting it is a small thing that saves real headaches during client handoffs.
(Based on product analysis)
★★★★☆
The core workflow of import-to-live-server is fast and genuinely low-friction. What keeps this at four rather than five is the early-stage nature of the product: the MCP spec is moving quickly and it's worth keeping an eye on whether transport and auth compatibility stays current. For internal tools and lower-stakes integrations, it works well right now.
Here's what our community thinks about GetMCP
Here's what people are asking about GetMCP (FAQs)
What is GetMCP and who is it for?▼
GetMCP is a hosted platform for creating and managing MCP (Model Context Protocol) servers without writing server code. It targets developers, indie founders, and small teams who have an existing REST API and want AI agents like Claude, Cursor, or ChatGPT to call it. If you have an OpenAPI spec, a Swagger file, or a Postman collection, you can have a live remote MCP server running in minutes.
Which AI clients can connect to a GetMCP server?▼
Any MCP-compatible AI client can connect. This includes Claude Desktop, Claude Code, Cursor, VS Code with MCP support, Codex, ChatGPT (developer mode), Windsurf, and custom agents built on the MCP SDK. Since GetMCP servers are hosted remotely with a public URL, no local configuration is required on the client side beyond adding the server endpoint.
Can I import my existing API documentation instead of building tools manually?▼
Yes. GetMCP supports importing tools from OpenAPI specifications, Swagger files, Postman collections, and raw cURL commands. This means if your API already has documentation in any of those formats, you can generate MCP tools from it directly rather than defining each tool by hand. You can also export your tool definitions as a GetMCP-format JSON for backup or reuse.
What analytics does GetMCP provide?▼
The platform provides paginated call logs with optional filtering so you can see individual tool calls. It also surfaces daily call statistics broken down by date for usage trend tracking, and call analytics grouped by AI client type so you know which AI agents are actually hitting your server. You can delete specific log entries or clear logs matching a filter.
How does GetMCP differ from building a custom MCP server from scratch?▼
A custom MCP server requires implementing the MCP protocol, handling transport (Streamable HTTP or STDIO), setting up OAuth or API key authentication, writing tool definitions, deploying and maintaining server infrastructure, and updating the code when the spec changes. GetMCP handles all of that behind the scenes. The trade-off is that a managed platform gives you less flexibility for highly custom auth flows or proprietary deployment environments, but for most API-to-agent use cases it's far faster to ship.
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