About MCPCloud
From API spec to deployed MCP server — and the skills that use it.
MCPCloud is the platform where MCP servers live — not just a generator that hands you code. Paste a spec and a typed TypeScript server deploys to a global edge runtime, running behind a managed security layer: auth, rate limits, and secrets injected at runtime, never in source. Observability, versioned releases, and marketplace distribution are built into the same home. Then author the agent behaviors that use it in Skill Studio — versioned, guardrailed workflow packages you can publish to your org or the public marketplace.
How it works
One pass, spec to production.
Import
Paste an OpenAPI, Swagger, or GraphQL spec — or define tools by hand. Every endpoint is parsed into a typed tool candidate.
Enrich
AI rewrites every tool description for agent comprehension. A summary written for a developer skimming docs is not a description an agent can act on.
Generate
A typed TypeScript MCP server, statically analyzed on every build. The source ships with it.
Deploy
One click to a global edge runtime, fronted by a policy proxy that handles auth, rate limits, runtime secret injection, and observability.
Skill Studio
Servers are half the story. Skill Studio is where you author what agents do with them: composable, versioned skill packages with a visual workflow, dependency graph, and guardrails — packaged as a publishable SKILL.md and distributed through your private org registry or the public marketplace.
Principles
Opinions we ship by.
Agents deserve better than spec-generated descriptions.
Enrichment is the heart of the product, not a garnish. A description written for a human reading docs fails a model choosing between forty tools. Every description is rewritten for the agent that will call it — and stays editable, because you know your API better than we do.
No lock-in, by design.
The generated TypeScript source is included with every server. Export a self-host bundle and run it on your own infrastructure. If you leave, you leave with working code.
Opinionated where reliability matters.
Deployment, auth, transports, versioning, observability — decided, not configurable into a corner. The defaults are the ones you would converge on anyway, minus the weeks it takes to converge.
A server needs a home, not a handoff.
Most tools stop at generated code and wish you luck. Every server deployed here runs behind the platform’s security layer — managed auth, rate limits, runtime-injected secrets, static analysis on every build — with per-tool observability and immutable versioned releases. The pipeline is the on-ramp; the platform is where servers spend their lives.
Say what is real.
Every capability we talk about carries a status from a single source of truth — marketing never gets to hand-assert what the platform does.
LiveBetaPlanned
Proof
Real servers, not screenshots.
The showcase is built end-to-end on the platform, from real vendor specs. Stripe’s OpenAPI spec — roughly 470 operations of famously terse summaries — ingested and curated down to a 34-tool surface, deployed in test mode. GitHub’s ~700-operation REST spec, subsetted to a 28-operation issues, PR, and review surface. Both are live and callable; open a case study and inspect every artifact of the pipeline, tool by tool.
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