Eden AI Connector for AI agents.
6 live capabilities
Manage multi-provider AI workflows and monitor API costs in real time.
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Why people use Eden AI
Stop Dashboard Hopping with Eden AI Multi-Provider Management
This Connector puts everything into your chat window. You can ask your agent to pull up your current credit balance or check the pricing for a specific feature across all your providers at once. It turns a five-minute search into a five-second question.
What Vinkius changes
You get a unified command center for your AI infrastructure without leaving your chat window.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking model capabilities for OCR
A developer wants to know if a specific provider supports OCR.
- Real-world use case 02
Weekly spending reports
A product manager needs a weekly spending report.
- Real-world use case 03
Emergency credit check
A team is running out of credits.
Complete set · 6capabilities
The complete Eden AI capability set.
These are the exact actions your AI can choose when you ask it to work with Eden AI.
01—03
3 capabilities in this set.
Part of 6 available through Eden AI.
- 01 Capability
Chat completion
Generate a chat completion using multi-provider routing. You can specify a provider or let the system choose the best fit automatically.
- 02 Capability
Check credits
See your current Eden AI credit balance. Use this to ensure you don't run out of funds during a high-traffic period.
- 03 Capability
List embedding models
List all available embedding models on the platform. Use this to quickly see which models are ready for your vector database.
04—06
3 capabilities in this set.
Part of 6 available through Eden AI.
- 04 Capability
Monitor consumption
Track your API consumption and costs over time. This helps you spot spending spikes before they become a problem.
- 05 Capability
Universal ai
Execute specialized tasks like OCR or image generation via Eden AI. This lets your agent handle complex media processing through a single request.
- 06 Capability
Create embedding
Generate text embeddings via the Eden AI platform. Use this to turn your raw text data into searchable vectors instantly.
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 previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_GdPzBc0bApMQJZkMB5wGQSUOSfGrhjSFoBzwCU2A/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Eden AI, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Eden AI for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_GdPzBc0bApMQJZkMB5wGQSUOSfGrhjSFoBzwCU2A/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Eden AI URL.
- Step 03
Save and start
Save the connection and enable Eden AI in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"eden-ai": {
"url": "https://edge.vinkius.com/vk_preview_GdPzBc0bApMQJZkMB5wGQSUOSfGrhjSFoBzwCU2A/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Eden AI
Open Agent mode in chat and ask: "Using Eden AI, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"eden-ai": {
"url": "https://edge.vinkius.com/vk_preview_GdPzBc0bApMQJZkMB5wGQSUOSfGrhjSFoBzwCU2A/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Eden AI
Ask Copilot: "Using Eden AI, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"eden-ai": {
"url": "https://edge.vinkius.com/vk_preview_GdPzBc0bApMQJZkMB5wGQSUOSfGrhjSFoBzwCU2A/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Eden AI
Open Cascade and ask: "Using Eden AI, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"eden-ai": {
"url": "https://edge.vinkius.com/vk_preview_GdPzBc0bApMQJZkMB5wGQSUOSfGrhjSFoBzwCU2A/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Eden AI
Ask Cline: "Using Eden AI, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add eden-ai --transport http "https://edge.vinkius.com/vk_preview_GdPzBc0bApMQJZkMB5wGQSUOSfGrhjSFoBzwCU2A/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Eden AI
Ask Claude: "Using Eden AI, show me...". 6 tools are ready
Where the request belongs
Work Eden AI can move forward.
This is for the AI engineers and ops leads who are tired of managing a fragmented mess of different API keys and cost dashboards. It's for anyone trying to scale multi-provider workflows without losing track of the budget.
AI Developer
Checks model availability and pricing on the fly during the development cycle to choose the right capability for the job.
Product Manager
Monitors workflow execution status and API consumption via chat to keep the project on track and under budget.
Operations Team
Audits credit balances and organizational usage metadata instantly to manage enterprise spending.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsPortkey
AI gateway observability: monitor logs, costs, and manage LLM configurations via agents.
AirOps
AI workflow orchestration. execute models, manage agents, and query memory via AI.
OpenAI
Manage OpenAI resources via API. list models, monitor fine-tunes, manage batches and inspect Assistants from any AI agent.
Keywords AI
Monitor and optimize your LLM API usage with a unified gateway that tracks costs, latency, and model performance across providers.
Langflow (Visual Multi-agent Orchestrator)
Orchestrate multi-agent AI workflows visually. execute flows, manage projects, and trigger webhooks directly from any AI agent.
Lindy (Autonomous AI Employees)
Manage autonomous AI employees via Lindy. trigger task runs, monitor reasoning logs, and audit app integrations.
Bring your own AI
Change the model, client or framework. Keep Eden AI connected.
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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.
Can I use Eden AI MCP to see my spending across different providers?
Yes. It aggregates your costs from all connected providers into a single view, making it easy to see your total spend without checking multiple dashboards.
How does Eden AI MCP help with multi-provider routing?
It allows your agent to intelligently route requests to the best available model or a specific provider you choose, simplifying your backend logic.
Can I check my credit balance using the Eden AI MCP?
Yes, you can ask your agent to check your current balance at any time to stay on top of your account status.
Does the Eden AI MCP support specialized tasks like OCR?
Yes. It provides access to specialized capabilities like OCR, translation, and image generation through a unified interface.
How do I see which embedding models are available?
You can ask your agent to list the available embedding models, and it will pull the current registry data for you.
Can I use Eden AI MCP to monitor my API costs in real time?
Yes. The Connector provides capabilities to monitor your consumption and costs over time, helping you catch spending spikes early.
How do I get an Eden AI API Key?
Log in to your Eden AI account, navigate to Account Settings or the API section, and you can generate or retrieve your unique API Key from there.
Does the integration support all AI providers?
Yes, Eden AI provides a unified interface for many providers. The agent can retrieve availability and pricing for any provider currently supported by the Eden AI platform.
Can the agent trigger workflow executions?
This integration currently focuses on listing and auditing workflows, providers, and usage. Triggering new workflow executions should be managed via specific Eden AI API calls or the platform dashboard.
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