Connect

@vinkius/connect

Give your AI application real-world capabilities.

[](https://www.npmjs.com/package/@vinkius/connect) [](https://vinkius.com) [](https://vinkius.com)

Vinkius Connect gives the AI application you're building access to thousands of tools, services, and systems — so your AI can take action for each user.

Your application identifies the user. Vinkius handles the connectivity, authentication, permissions, protocols, and execution behind the capabilities that user has connected.

Your AI Application
        │
        ▼
      User
        │
        ▼
   Connectors
        │
        ▼
   Capabilities
        │
        ▼
      Action

Connectors provide access. Capabilities provide action.

A connector connects your user to an external system. A capability is what your AI can actually do with it.

GitHub connector
       │
       ├── list repositories
       ├── create issue
       ├── create pull request
       ├── review code
       └── search code

const capabilities = await vinkius.user('alice_123').capabilities();
// → the capabilities available to this user

Built on the Vinkius AI Connectivity Cloud — one managed connectivity layer that works with OpenAI, Anthropic, Gemini, the Vercel AI SDK, LangChain, LlamaIndex, Cloudflare Workers AI, and any OpenAI-compatible runtime.

• Capabilities, not integrations. Your agent calls capabilities. Vinkius turns

calls into action — authentication, permissions, protocol and execution are resolved for you.

• Connectors power capabilities. A connector can provide many capabilities.

Vinkius maintains the connectors and the capabilities your agents use through them.

• User-scoped. Each user has their own connected connectors and capabilities,

isolated from every other user.

• Portable. Switch models, clients or frameworks without rebuilding your

connectivity. Your capabilities stay yours.

• Zero runtime dependencies. Runs on Node 18+, Bun, Deno, and edge runtimes.
• Security-first. One secret to manage. Credentials are write-only. Every

request carries identity. See [SECURITY.md](./SECURITY.md).

Contents

• [Get your API credentials](#get-your-api-credentials)
• [Install](#install)
• [Quick start](#quick-start)
• [Concepts](#concepts)
• [Connect a connector](#connect-a-connector)
• [Execute a capability](#execute-a-capability)
• [Framework adapters](#framework-adapters)
• [Low-level API](#low-level-api)
• [Configuration](#configuration)
• [Errors](#errors)
• [Security](#security)
• [Compatibility](#compatibility)
• [License](#license)

Get your API credentials

Vinkius Connect authenticates with two values from a Vinkius Cloud Application:

| Value | Prefix | What it is | | -------- | ------------- | -------------------------------------------------------------------------- | | appId | vk_app_… | The Application's public id — identifies your tenant | | apiKey | vk_app_sk_… | An Application Key — the secret your backend uses to act for its users |

To create them in the Vinkius Cloud dashboard:

1. Open Build AI Apps (/ai-agents) and click New AI Application. Give it a

name (e.g. Acme Copilot) and create it.

1. Open the application. Your App ID (vk_app_…) is shown under the app name and

in the page URL — copy it into appId.

1. Go to the App Keys tab → New Key. Select the permissions your backend

needs, then Create Key.

1. The Application Key (vk_app_sk_…) is shown once, in a _"Copy this key

now"_ dialog. Copy it into apiKey — it cannot be retrieved afterward.

You can rotate or revoke a key anytime from the same App Keys tab. Rotating invalidates the old key immediately and reveals the new one once.

> Keep vk_app_sk_… server-side only — an environment variable or your secrets > manager. Never ship it to a browser, mobile app, or any client the user controls.

# .env  (server-side)
VINKIUS_APP_ID=vk_app_xxxxxxxxxxxxxxxx
VINKIUS_APP_KEY=vk_app_sk_xxxxxxxxxxxxxxxxxxxxxxxx

Install

npm install @vinkius/connect
# or: pnpm add @vinkius/connect · yarn add @vinkius/connect · bun add @vinkius/connect

Quick start

Give your agent the capabilities a specific user has connected — one line:

import { Vinkius } from '@vinkius/connect';

const vinkius = new Vinkius({
  appId: process.env.VINKIUS_APP_ID!,
  apiKey: process.env.VINKIUS_APP_KEY!,
});

// The AI capabilities this user's connectors provide
const capabilities = await vinkius.user('alice_123').capabilities();

End-to-end with OpenAI — three imports, and the model can call your user's real capabilities:

import OpenAI from 'openai';
import { Vinkius } from '@vinkius/connect';
import { toOpenAITools, runOpenAIToolCall } from '@vinkius/connect/openai';

const openai = new OpenAI();
const vinkius = new Vinkius({
  appId: process.env.VINKIUS_APP_ID!,
  apiKey: process.env.VINKIUS_APP_KEY!,
});

const capabilities = await vinkius.user('alice_123').capabilities();

const completion = await openai.chat.completions.create({
  model: 'your-model',
  messages: [{ role: 'user', content: 'Open a GitHub issue titled "Ship it"' }],
  tools: toOpenAITools(capabilities),
});

const call = completion.choices[0]?.message.tool_calls?.[0];
if (call) {
  const result = await runOpenAIToolCall(capabilities, call);
  console.log(result.content);
}

No per-connector glue, no OAuth plumbing, no storing tokens. The user connects GitHub once in your app; every agent turn just works.

Concepts

The SDK is split into two planes over the same vk_app_sk_* credential:

• Control plane — provisioning and state: users, connectors, credentials,

catalog.

• Execution plane — runtime: capabilities() and execute().

user.capabilities() is the primary contract: it returns the AI capabilities available to that user, as executable, framework-neutral objects. A connector is not a capability — a single connector can provide many capabilities.

const user = vinkius.user('alice_123');

await user.connectors(); // connected connectors + status
await user.capabilities(); // all capabilities for this user
await user.capabilities({ include: ['github', 'slack'] }); // subset

Users are addressed by your own external_id ("alice_123"), which comes from your auth system. There is no Vinkius user id to resolve, cache, or store — the platform derives everything from your Application credentials plus the id you pass.

Connect a connector

const github = vinkius.user('alice_123').connector('github');

await github.connect(); // provision the connection (idempotent)
await github.credentials.set({ GITHUB_TOKEN: token }); // write-only
console.log(await github.status()); // not_connected | needs_credentials | ready | disabled

await github.capabilities(); // capabilities this connector provides
await github.disconnect();

Credentials are write-only: you can set them and check which keys are configured, but the SDK never returns secret values.

await github.credentials.schema(); // fields this connector requires
await github.credentials.status(); // which keys are configured (never the values)

Execute a capability

const capabilities = await vinkius.user('alice_123').capabilities();

const result = await capabilities
  .findCapability('github__create_issue')
  ?.execute({ owner: 'acme', repo: 'product', title: 'Hello Vinkius' });

// result → { content: [{ type, text }], isError }

Your agent calls the capability. Vinkius resolves authentication, permissions, protocol and execution, then returns a structured result. A capability-level failure comes back as isError: true — a result, not a thrown exception — so your agent loop can feed the error back to the model and let it recover.

Framework adapters

Adapters are zero-dependency subpath exports that convert capabilities into your framework's tool format (each framework's own term). Where a framework needs one of its own factories, you inject it — no peer dependency, no version coupling.

| Framework | Import | Notes | | -------------------------------- | -------------------------------- | ---------------------------------------- | | OpenAI (chat completions) | @vinkius/connect/openai | toOpenAITools, runOpenAIToolCall | | OpenAI Agents (@openai/agents) | @vinkius/connect/openai-agents | toOpenAIAgentsTools (inject tool) | | Anthropic (Messages) | @vinkius/connect/anthropic | toAnthropicTools, runAnthropicToolUse | | Google Gemini | @vinkius/connect/gemini | toGeminiTools, runGeminiFunctionCall | | Vercel AI SDK | @vinkius/connect/ai-sdk | toAISDKTools (inject jsonSchema) | | LangChain.js | @vinkius/connect/langchain | toLangChainTools (inject tool) | | LlamaIndex.TS | @vinkius/connect/llamaindex | toLlamaIndexTools (inject tool) | | Cloudflare Workers AI | @vinkius/connect/workers-ai | toWorkersAITools (for runWithTools) | | Any / neutral | @vinkius/connect/json-schema | toJSONSchemaTools, executeByName |

OpenAI (chat completions)

import { toOpenAITools, runOpenAIToolCall } from '@vinkius/connect/openai';

const capabilities = await vinkius.user('alice_123').capabilities();
const tools = toOpenAITools(capabilities);
// … then runOpenAIToolCall(capabilities, toolCall) on each returned tool call.

Anthropic (Messages)

import { toAnthropicTools } from '@vinkius/connect/anthropic';

const capabilities = await vinkius.user('alice_123').capabilities();
const tools = toAnthropicTools(capabilities); // pass as `tools` to messages.create

Google Gemini

Produces function declarations for the unified Google GenAI SDK (@google/genai).

import { toGeminiTools, runGeminiFunctionCall } from '@vinkius/connect/gemini';

const capabilities = await vinkius.user('alice_123').capabilities();
const response = await model.generateContent({
  contents,
  tools: [{ functionDeclarations: toGeminiTools(capabilities) }],
});

// on a returned functionCall part:
const result = await runGeminiFunctionCall(capabilities, functionCall);

Vercel AI SDK

Pass the AI SDK's own jsonSchema helper so parameters are wrapped correctly.

import { jsonSchema } from 'ai';
import { toAISDKTools } from '@vinkius/connect/ai-sdk';

const capabilities = await vinkius.user('alice_123').capabilities();
const tools = toAISDKTools(capabilities, { jsonSchema });

LangChain.js

Inject LangChain's own tool factory so the returned objects are genuine, bindable LangChain tools — the adapter keeps zero dependencies.

import { tool } from '@langchain/core/tools';
import { toLangChainTools } from '@vinkius/connect/langchain';

const capabilities = await vinkius.user('alice_123').capabilities();
const tools = toLangChainTools(capabilities, { tool });
const model = chat.bindTools(tools);

OpenAI Agents (@openai/agents)

Distinct from the chat-completions adapter. Inject the Agents SDK's tool factory; the JSON Schema is passed as raw parameters with strict: false.

import { Agent, tool } from '@openai/agents';
import { toOpenAIAgentsTools } from '@vinkius/connect/openai-agents';

const capabilities = await vinkius.user('alice_123').capabilities();
const agent = new Agent({
  name: 'assistant',
  tools: toOpenAIAgentsTools(capabilities, { tool }),
});

LlamaIndex.TS

Inject LlamaIndex's tool factory. Accepts raw JSON Schema — no Zod required.

import { tool } from 'llamaindex';
import { toLlamaIndexTools } from '@vinkius/connect/llamaindex';

const capabilities = await vinkius.user('alice_123').capabilities();
const tools = toLlamaIndexTools(capabilities, { tool });

Cloudflare Workers AI

toWorkersAITools produces embedded function-calling tools (each with a bound function) for runWithTools from @cloudflare/ai-utils.

import { runWithTools } from '@cloudflare/ai-utils';
import { toWorkersAITools } from '@vinkius/connect/workers-ai';

const capabilities = await vinkius.user('alice_123').capabilities();
const res = await runWithTools(env.AI, 'your-model', {
  messages,
  tools: toWorkersAITools(capabilities),
});

Neutral / other frameworks

toJSONSchemaTools emits plain { name, description, parameters } definitions — the lowest common denominator for any OpenAI-compatible provider or custom agent loop, with executeByName to dispatch.

A few frameworks are intentionally covered by the adapters above rather than their own subpath:

• Mastra — consumes Vercel AI SDK tools natively; use the ai-sdk adapter.
• Claude Agent SDK (@anthropic-ai/claude-agent-sdk) — requires a Zod schema

and in-process MCP registration. Use the Messages-API anthropic adapter.

• CrewAI — a Python framework. Use the neutral JSON Schema output as the bridge

until a Vinkius Python SDK exists.

Low-level API

Every fluent call has a REST equivalent for full control:

const connection = await vinkius.users.connections('alice_123').create({ connector: 'github' });

await vinkius.users
  .connections('alice_123')
  .credentials(connection.id)
  .set({ credentials: { GITHUB_TOKEN: '…' } });

The fluent credentials.set(values) takes the flat map; the low-level client takes the HTTP envelope { credentials: values }.

Configuration

new Vinkius({
  appId: 'vk_app_…',
  apiKey: 'vk_app_sk_…',
  baseUrl: 'https://api.vinkius.com', // default
  timeoutMs: 30_000, // default
  maxRetries: 2, // default (idempotent requests only)
  fetch: globalThis.fetch, // override for tests/edge
  userAgent: 'acme-ai/1.0', // appended to the default User-Agent
  namespaceCapability: (connector, name) => `${connector}__${name}`, // default
  hooks: {
    onRequest: ({ method, url }) => {}, // headers/body are redacted
    onResponse: ({ status, requestId }) => {},
  },
});

Errors

All failures are subclasses of VinkiusError with status, code, and requestId:

AuthError · NotFoundError · ValidationError · RateLimitError · QuotaError · OverageError · ConnectorNotConnectedError · ConnectionError · ConfigError · NotImplementedError.

Capability execution returns { content, isError } — an isError: true result is returned, not thrown. Quota/overage limits surface as QuotaError/OverageError.

Security

• One secret to manage. Only vk_app_sk_* is sensitive; keep it server-side.
• Identity on every request. Each call carries your vk_app_* app id and is

validated against the key server-side — a key can only ever act for its own app.

• Write-only credentials. Connector secrets can be set but never read back.

The model never receives raw secrets.

• Redaction by design. Authorization headers and secret values are stripped

before any observability hook sees them.

Full details and disclosure policy in [SECURITY.md](./SECURITY.md).

Compatibility

• Runtimes: Node 18+, Bun, Deno, and edge runtimes (anything with fetch).
• Modules: ships dual ESM + CommonJS with bundled TypeScript types.
• Discovery and provisioning (users, connectors, credentials, catalog) are

available today. user.capabilities() and capability.execute() run on the Vinkius Execution Plane; make sure your Vinkius Cloud environment has it enabled.

License

[Apache 2.0](./LICENSE) © Vinkius

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: VinkiusAI
• Source: VinkiusAI/connect
• License: Apache-2.0
• Homepage: https://connect.vinkius.com/

Install and usage instructions live in the source repository linked above.