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Vinkius

Eden AI Connector for AI agents.

13 live capabilities

Orchestrate multi-model workflows and specialized tasks in one connection.

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AI Agent

Why people use Eden AI

Eden AI Multi-Model Orchestration for Complex AI Workflows

This Connector changes that by consolidating everything into a single point of entry. Instead of building custom bridges for every new model that hits the market, you just tell your agent which task to perform. It handles the routing, the specialized processing, and the storage for you. You get a unified way to handle complex AI workflows without the overhead of managing multiple integrations.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get one API to rule every AI model and task your agent needs to handle.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Model benchmarking for niche tasks

    A developer needs to test five different models to see which one handles a specific niche of legal text best without writing new code.

  2. Real-world use case 02

    Automated receipt processing

    An automation lead wants to build a system that takes a photo of a receipt, extracts the text via OCR, and translates it into another language.

  3. Real-world use case 03

    Cost-effective RAG embedding generation

    A data team wants to generate embeddings for a massive library of documents using the most cost-effective model available.

Complete set · 13capabilities

The complete Eden AI capability set.

These are the exact actions your AI can choose when you ask it to work with Eden AI.

Capability set01 / 04

01—04

4 capabilities in this set.

Part of 13 available through Eden AI.

  1. 01 Capability

    Chat completions

    This capability gets chat responses using smart routing or specific model selections. It simplifies multi-model chat.

  2. 02 Capability

    Check credits

    This capability views your remaining balance to make sure your workflows stay running. It is essential for cost tracking.

  3. 03 Capability

    Create custom token

    This capability sets up specific API tokens with restricted permissions. It is a great way to improve your security.

  4. 04 Capability

    Create stateful response

    This capability creates a chat response that saves history on the provider side. It keeps your conversations consistent.

Capability set02 / 04

05—07

3 capabilities in this set.

Part of 13 available through Eden AI.

  1. 05 Capability

    List embedding models

    This capability shows which models are available for turning your data into vectors. It helps you choose the best fit.

  2. 06 Capability

    List files

    This capability shows a list of every file currently stored in your Eden AI account. It helps you manage your uploaded data.

  3. 07 Capability

    Monitor consumption

    This capability shows exactly how much your API usage is costing you in real time. It helps you manage your budget.

Capability set03 / 04

08—10

3 capabilities in this set.

Part of 13 available through Eden AI.

  1. 08 Capability

    Universal ai async

    This capability starts long-running jobs like speech-to-text that do not need an immediate result.

  2. 09 Capability

    Universal ai sync

    This capability runs immediate tasks like OCR, translation, or image generation. It uses a specific feature format.

  3. 10 Capability

    Upload file

    This capability puts files into persistent storage so your agent can reference them later. It provides persistent context.

Capability set04 / 04

11—13

3 capabilities in this set.

Part of 13 available through Eden AI.

  1. 11 Capability

    Create embedding

    This capability converts text into numerical vectors. It helps you prepare data for search and similarity tasks.

  2. 12 Capability

    Delete files

    This capability removes specific files from your persistent storage area. Use it to keep your storage organized.

  3. 13 Capability

    Get async job

    This capability checks the status and pulls results from a previously started async job. It handles long-running tasks.

Set up in minutes

One URL. Then ask Eden AI to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Eden AI from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_MpbX6fk08w3hagPF4hW6wpk1Up2FJzw462jLYKS8/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Eden AI, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Eden AI for the conversation.

Where the request belongs

Work Eden AI can move forward.

Built around the request

This is for the developer who is tired of managing twenty different API keys and the automation engineer trying to chain different AI capabilities into one smooth process.

01

AI Developer

Testing different models for specific tasks without rewriting the integration code every time a new one drops.

02

Automation Engineer

Building complex workflows that require switching between OCR, translation, and image generation in one flow.

03

Data Scientist

Creating embeddings across multiple providers to find the best performance for a specific RAG setup.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
DeepInfra (Serverless LLM Inference) logo
01 4 capabilities

DeepInfra (Serverless LLM Inference)

Run top-tier LLMs, image generation, and embeddings via DeepInfra's serverless infrastructure directly from your AI agent.

View Connector
Gradient AI (LLM API & Finetuning) logo
02 19 capabilities

Gradient AI (LLM API & Finetuning)

Access powerful LLMs, fine-tune models on your own data, and generate embeddings directly through your AI agent.

View Connector
Mistral AI (Frontier LLMs & Embeddings) logo
03 7 capabilities

Mistral AI (Frontier LLMs & Embeddings)

Manage AI inference via Mistral. execute chat completions, generate RAG embeddings, and audit frontier models.

View Connector
Together AI logo
04 7 capabilities

Together AI

Generate code, evaluate embeddings, and deploy open-source LLMs instantly from your local agent via Together AI's infrastructure.

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Lingyi Wanwu logo
05 4 capabilities

Lingyi Wanwu

Orchestrate Lingyi Wanwu AI models. manage chat completions, embeddings, and monitor Yi model performance directly from any AI agent.

View Connector
Cohere (AI Platform) logo
06 5 capabilities

Cohere (AI Platform)

Power enterprise AI via Cohere. generate text, perform chat completions, reorder documents, and manage embeddings directly from any AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Eden AI connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Eden AI.

The practical details behind the request, access and result.

What is Eden AI MCP?

It is a unified connection that gives your AI agent access to over 100 different models from providers like OpenAI, Google, and Anthropic using one API.

Can Eden AI MCP perform OCR tasks?

Yes, it can extract text from images using specialized expert models through a single command.

Does Eden AI MCP support image generation?

Yes, it allows your agent to generate images using various popular models without needing separate integrations.

How do I manage my credits with Eden AI?

You can check your current balance and monitor your real-time usage directly through the Connector to stay on budget.

Can I save files for my agent to remember?

Yes, you can upload and list files in persistent storage so your agent can reference them for context in future tasks.

Is Eden AI MCP good for RAG systems?

Yes, it provides capabilities to convert text into numerical vectors and list available models to help you build better search applications.

Does Eden AI MCP support translation?

Yes, it handles translation tasks across many languages using high-quality specialized models.

How can I use Eden AI's smart routing to find the best model for a chat?

Simply use the chat_completions capability and set the model parameter to @edenai. This will automatically route your request to the most suitable provider based on performance and cost.

How do I handle long-running AI tasks like Speech-to-Text?

Use the universal_ai_async capability to start the job. You will receive a job ID which you can then use with the get_async_job capability to check the status and retrieve the final results once finished.

Can I manage the files I upload for AI processing?

Yes. You can use upload_file to send data, list_files to see everything in your storage, and delete_files to remove them when they are no longer needed.

One connection away

Give your agent a direct line to Eden AI.

Connect Eden AI once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available