Build on infrastructure that already runs.
Your connectors. Your product. Our cloud.
When you build here, you inherit everything we already run: thousands of managed connectors, [sealed sandbox execution](infrastructure), [governance, audit trails](ai-governance) and one MCP endpoint that works with every AI client. [Add your own connectors on top](create-connector).
The platform you inherit
The plumbing is done. You ship the product.
Instead of assembling a fragile chain of APIs, sandboxes and authentication, you start on a platform that already solved it. These are the systems your product gets from day one.
- 7,588+ managed connectorsEvery connector in the catalog is hosted, monitored and maintained for you. Your agents and products call them through a single URL. No servers to run, no SDKs to maintain.
- Sealed sandbox executionEach connector runs in an isolated V8 environment with 34+ security rules: SSRF guard, memory and CPU limits, auto kill on abuse. Nothing gets out.
- Governance on every callTool governance, capability lockfiles, prompt firewall and token economics are enforced per request, before a single action reaches your systems.
- Tamper proof audit trailEvery call is signed and chained. Prove exactly what an agent did, when, and with which credentials. Mathematically.
- Spending controlSet budgets per workspace or per user. Overspend stops and waits for human approval before the action proceeds.
- Stream to your toolsSecurity and usage events stream to Splunk, Datadog or any webhook: signed, batched, exactly once.
Day one in your workspace
7,588 connectors · 56,253 capabilities — loaded, hosted and monitored before you write a line.
Sealed sandbox runtime
Add your own connectors
Bring your stack, or build a Connector from scratch.
The catalog is only the start. Extend it with your own connectors. Three paths, one production environment.
01 · Build
Build with the MCP Fusion SDK
Our open source framework, Apache 2.0. Write a server in TypeScript, get schema as firewall, FSM state gates, DLP redaction and delegation auth out of the box. Even describe it in plain language and let an AI agent write it for you.
02 · Bring
Bring your own MCP server
Already have an MCP server? Point us at it. We host, sandbox and secure it. Credentials stay encrypted, outbound traffic is governed, and every call is audited.
03 · Publish
Publish to the catalog
Ship your connector to the public catalog and let the whole ecosystem use it, or keep it private to your workspace. Either way, hosting, scaling and maintenance are on us.
From zero to production
Shipping an AI product in four steps.
No infrastructure to run, no SDK to vendor lock, no security team to rebuild. The path from idea to production is the same for a two person startup and a platform team.
01Create your workspace
Sign in with Google or GitHub. Every workspace gets an isolated environment, its own budgets and its own audit trail.
$ vinkius init
Who builds here
One platform, every kind of AI product.
Teams use the infrastructure the same way they use a database or a queue: the connectivity layer underneath their product.
Agentic SaaS
Embed the catalog into your product so your users' agents can act on their own tools, with your governance and audit on every call.
Internal AI tools
Give your team one governed entry point to the company stack. Spending limits and audit trails make it safe to hand agents real credentials.
Multi tenant platforms
Per workspace connectors, budgets and credentials, isolation is built in, so each tenant gets its own slice of the platform.
Agentic automation
Replace brittle API chains with connectors that authenticate, authorize and retry for you. Your automations call tools, not endpoints.
Vertical AI apps
Build a specialized product on domain connectors, finance, healthcare, commerce, and leave the connectivity burden to us.
Research & experimentation
Stand up a full AI connectivity stack in minutes, iterate on tools and agents, then promote to production without replatforming.
Before you build
Questions about building here
- 01
Can I use my own connectors?
Yes. You can build connectors with the open source MCP Fusion SDK, bring an existing MCP server, or publish a connector to the catalog. All three paths run in the same hosted, sandboxed environment.
- 02
Can my connectors stay private to my company?
Yes. Every connector can be kept private to your workspace. You choose what is published to the public catalog and what stays internal.
- 03
Do I need to run any infrastructure?
No. Connectors, sandboxes, authentication, governance and audit are all included for you. You build the product; we run the connectivity layer.
- 04
How much does it cost to build?
Hosting, sandboxing, governance and audit are part of every plan, for catalog connectors and for your own. Pick the plan that matches your usage.
- 05
Which AI clients can use my endpoints?
Anything that speaks MCP: ChatGPT, Claude, Gemini, Copilot, Perplexity, Grok and every major framework, such as Vercel AI SDK, LangChain, CrewAI, OpenAI Agents and more. One endpoint serves them all.
- 06
How is this different from connecting APIs directly?
Direct API chains force you to own auth, secrets, rate limits, sandboxing and audit yourself. Here those are platform features, enforced per call, signed into an immutable audit trail, and governed by your spending limits.