The infrastructure layer for MCP

The universal self-hosted gateway
connecting AI agents to any API

One gateway replaces N custom MCP servers. Sixteen-plus protocols — REST, GraphQL, gRPC, SOAP, OData, WebSocket, JSON-RPC. Encrypted credentials. Audit-ready by default. Air-gap deployable.

Auto-detects your platform (x86/ARM64) and downloads the right binary.

Quick Install

curl -fsSL https://xskyline.com/install | bash
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Universal

Works on Linux & macOS, x86_64 & ARM64

📦

Single Binary

No dependencies, just download and run

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Easy Config

See examples to get started

16+
protocols auto-detected — modern and legacy
~97%
lower LLM cost in code-execution mode
0
third-party credential transit, by design

What makes it different

Five things you won't find together anywhere else

1

Self-hosted zero-trust

Credentials are encrypted at rest and never leave your network. No third-party transit, no managed-cloud middleman. Air-gap deployable for HIPAA, SOC 2, PCI-DSS, FedRAMP, ISO 27001.

2

Only gateway covering legacy + modern protocols

REST, GraphQL, gRPC, SOAP, OData, WebSocket, JSON-RPC, XML-RPC — sixteen and counting. Auto-detected from each API's spec. Other gateways pick a side; Skyline takes both.

3

Source-available, commercial when you compete or scale

Run the full feature set free — self-host, modify, the lot. The only catch: you can't use it to build a competing product. Upgrade to a paid tier for that, plus the indemnity, the SLA, and the support engineer who answers in under an hour.

4

Code-execution mode cuts LLM cost ~97%

Multi-step agent workflows that would burn thousands of tokens of MCP back-and-forth compile to a single execution. Same result, two orders of magnitude less spend.

5

Unified pricing — no per-integration tax

Connect one API or fifty. Pricing is by deployment scale and support tier, not by the count of upstream services. Add an API on Friday afternoon without a procurement loop.

Who it's for

Built for the teams already wiring agents into prod

If you've been writing one MCP server per API, hand-rotating tokens across services, or stalling on a SOAP endpoint your modern stack can't reach — this is the shape that fits.

Mid-market AI engineering teams

100–1K employees · SaaS, fintech, healthtech · LLMs in production · K8s + platform team

Pain it removes

2–5 days of bespoke MCP-server work per agent-to-API integration. Credential sprawl across N teams.

Typical tier

Business · $1,499–$3,500/mo

AI consultancies & systems integrators

10–200 employees · agency model · reusable platform across client engagements

Pain it removes

Every client engagement rebuilds the same integration layer. Hard to standardize delivery.

Typical tier

Team · $499–$1,499/mo

Regulated enterprise

Fortune 500 · banking, healthcare, government · compliance-mandated self-hosted

Pain it removes

Managed-cloud MCP services are off the table. In-house builds stall on protocol coverage.

Typical tier

Enterprise · $3,500+/mo

Connect every agent to every API.

Free and source-available. Commercial tiers to build competing products or get the SLA.