# Eden AI MCP for AI Agents AI Agent Connect

> Eden AI gives your AI agent access to over 100 models through a single connection. It handles the heavy lifting of switching between models for different tasks like OCR, translation, and image generation. You can run complex workflows without managing a dozen separate API keys, making it the primary hub for multi-model orchestration.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_MpbX6fk08w3hagPF4hW6wpk1Up2FJzw462jLYKS8/ai-agent-connect
- **Tags:** llm-orchestration, multi-model-api, ocr, embeddings, ai-routing

## Description

Eden AI gives your agent access to over 100 models through a single connection. Imagine trying to build an app that needs to translate text, recognize characters in images, and generate high-quality responses. Usually, you would have to juggle different accounts, manage separate billing cycles, and write custom code for every single provider. It is a headache for your dev team and a nightmare for your budget. 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. When you find this in the Vinkius catalog, you are basically getting a master key to the entire AI landscape. You can jump from a simple chat response to a heavy-duty OCR job or an image generation task without changing your underlying architecture. It keeps your workflow clean and your development cycle fast. You no longer have to worry about which API key belongs to which service or whether a specific provider supports a niche feature like speech-to-text. Everything lives in one place, giving your agent the freedom to pick the right tool for the job on the fly. It makes building complex, multi-step automations feel like a single conversation rather than a series of disconnected technical hurdles.

## Tools

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

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

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

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

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

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

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

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

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

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

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

### delete_files
This tool removes specific files from your persistent storage area. Use it to keep your storage organized.

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

## Prompt Examples

**Prompt:** 
```
I need to translate this paragraph into French and then summarize it.
```

**Response:** 
```
I've processed that for you. Here is the French translation followed by a 3-bullet summary:

**Translation:**
[Translated text appears here]

**Summary:**
* Key point 1
* Key point 2
* Key point 3
```

**Prompt:** 
```
Can you extract the text from this receipt image?
```

**Response:** 
```
I've run the OCR on that image. Here are the extracted details:

| Item | Price |
| :--- | :--- |
| Coffee | $4.50 |
| Muffin | $3.25 |
| **Total** | **$7.75** |
```

**Prompt:** 
```
Which models can I use for embeddings right now?
```

**Response:** 
```
Here are the available models for generating embeddings:

* **Model A** (High Accuracy)
* **Model B** (Fast & Cheap)
* **Model C** (Multi-lingual)
```

## Capabilities

### Route chat requests to different models
Automatically send chat prompts to the best available model for the task.

### Run OCR and translation tasks
Extract text from images or convert languages using specialized expert models.

### Generate images on demand
Create visual content using popular image generation models through one API.

### Convert text into numerical vectors
Turn your data into embeddings for use in search and similarity applications.

### Manage persistent files for context
Upload and list files in a persistent storage area for your agent to reference.

### Track credit usage and costs
Monitor your balance and API consumption in real time to manage your budget.

## Use Cases

### 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.

### 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.

### 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.

### Multi-step content creation
A content creator wants to generate images and then have an AI summarize the visual content in a single smooth workflow.

## Benefits

- Stop managing multiple API keys by using one connection for over 100 different AI models from various providers.
- Switch between different models for chat tasks using chat_completions to find the best balance of cost and speed.
- Handle complex media tasks like OCR and translation in one go with universal_ai_sync and universal_ai_async.
- Build better RAG systems by creating embeddings with create_embedding and checking options with list_embedding_models.
- Keep your agent's context consistent by using upload_file and list_files to manage persistent data.
- Stay on top of your spending with monitor_consumption and check_credits to avoid unexpected bills.

## How It Works

The bottom line is you get one API to rule every AI model and task your agent needs to handle.

1. Subscribe to the Eden AI MCP on Vinkius.
2. Add your Eden AI API key to your client settings.
3. Start asking your agent to perform multi-model tasks like OCR or translation.

## Frequently Asked Questions

**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 tools 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` tool 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` tool to start the job. You will receive a job ID which you can then use with the `get_async_job` tool 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.