Eden AI MCP. Manage AI costs and multi-provider workflows from chat.
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…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Eden AI. Manage unified AI workflows, track providers, and monitor API usage. Connect your AI client to see real-time costs, check model availability across OpenAI, Google, and AWS, and oversee complex multi-provider automations without switching services.
What your AI agents can do
Get ai feature pricing
Finds the cost of a specific AI feature across different providers.
Get api usage statistics
Retrieves technical stats on your API usage and total costs.
Get eden ai metadata
Checks your current credit balance and account metadata.
Call get_ai_feature_pricing to find the cost of a specific AI feature from multiple vendors.
Run get_api_usage_statistics to get technical metrics on your API usage and total spending.
Use get_eden_ai_metadata to retrieve your current credit balance and account details.
Get detailed settings and steps for a specific AI workflow using get_workflow_configuration.
Use list_ai_providers to see which AI vendors support a particular feature.
List every AI automation workflow set up in your account using list_ai_workflows.
Ask AI about this MCP
Supported MCP Clients
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019d758cget ai feature pricing
Finds the cost of a specific AI feature across different providers.
019d758cget api usage statistics
Retrieves technical stats on your API usage and total costs.
019d758cget eden ai metadata
Checks your current credit balance and account metadata.
019d758cget workflow configuration
Gets detailed setup and steps for a specific AI automation workflow.
019d758clist ai providers
Lists all AI vendors (like Google, OpenAI, AWS) available for a specific feature.
019d758clist ai workflows
Lists every AI automation workflow set up in your account.
019d758clist all llm models
Lists all specific large language models available through the unified API.
019d758clist available ai features
Lists all AI features and subfeatures supported by the Eden AI platform.
019d758clist latest ai automations
Identifies the most recently updated AI workflows.
019d758cquick ai provider audit
Gives a high-level summary of available vendors for text analysis.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Eden AI, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
You'll connect Eden AI to your agent to manage all your AI workflows and keep tabs on your API usage across every provider. You won't have to jump between dashboards just to see costs or check model availability. You can use list_ai_workflows to see every AI automation workflow you've set up.
You'll get details for any specific workflow you want to inspect with get_workflow_configuration. You can use list_ai_providers to check which AI vendors support a particular feature. You'll see all AI vendors (like Google, OpenAI, AWS) available for a specific feature using list_ai_providers. You'll get a high-level summary of available vendors for text analysis with quick_ai_provider_audit.
You can run list_available_ai_features to see every AI feature and subfeature supported by the platform. You'll get a list of all specific large language models (LLMs) available through the unified API using list_all_llm_models. You'll find the cost of a specific AI feature from multiple vendors by calling get_ai_feature_pricing. You'll get technical metrics on your API usage and total spending by running get_api_usage_statistics.
You'll retrieve your current credit balance and account details with get_eden_ai_metadata.
How Eden AI MCP Works
- 1 Connect the Eden AI integration to your AI client.
- 2 Authorize the connection using your unique Eden AI API Key.
- 3 Orchestrate multi-provider automation and operations through natural conversation.
The bottom line is, your agent uses the API key to talk to Eden AI, letting you manage complex AI operations without leaving your chat window.
Who Is Eden AI MCP For?
This is for the platform architect, the product manager, and the operations engineer. If you build AI applications that rely on multiple services (OpenAI, Google, etc.), you need this. It stops you from having to switch between ten different dashboards just to see if you can afford the next feature.
Designs and tests complex workflows, using tools like list_ai_providers and get_ai_feature_pricing to ensure the combined system stays within budget.
Monitors the execution status of existing automation pipelines via chat, using list_ai_workflows and get_api_usage_statistics.
Audits organizational credit balances and API usage metadata instantly using get_eden_ai_metadata.
What Changes When You Connect
- See your total API usage and spending in one place. Use
get_api_usage_statisticsto pull real-time cost data without logging into separate vendor consoles. - Check model availability and pricing instantly. Run
get_ai_feature_pricingto compare costs for 'sentiment analysis' across OpenAI, Google, and AWS before writing any code. - Audit your entire system at a glance.
list_ai_workflowsgives you a complete list of all running automations, so you never forget which pipeline is running. - Know your limits before you go.
get_eden_ai_metadatapulls your current credit balance, letting you manage spending budgets in real time. - Keep track of who supports what.
list_ai_providerstells you which vendors can handle a specific feature, narrowing down your architectural choices instantly. - Inspect complex pipelines.
get_workflow_configurationlets you drill down into the exact steps of any workflow, perfect for debugging and auditing.
Real-World Use Cases
Calculating cross-vendor costs for a new feature
A platform architect needs to add multilingual content tagging. Instead of checking OpenAI's pricing page, they ask their agent to run get_ai_feature_pricing for 'translation' across all providers. The agent immediately returns a cost comparison, letting them pick the cheapest vendor (e.g., Google) and move on.
Debugging a failing automation job
A product manager notices a workflow failed. They run list_ai_workflows to confirm the name, then use get_workflow_configuration to pull the exact steps and parameters. This shows whether the failure was due to bad input data or a service limitation.
On-the-fly budget checking
An operations engineer is about to deploy a major feature update. Before the deployment, they run get_eden_ai_metadata to check the current credit balance. They also run get_api_usage_statistics to see how much budget the last week's testing consumed, preventing unexpected overruns.
Mapping AI capabilities for a new product line
A development team needs to know which AI services support image analysis. They first run list_available_ai_features and then use list_ai_providers to filter that list, identifying all vendors that offer the required capability.
The Tradeoffs
Checking costs manually
Going to the OpenAI site, then the Google Cloud Console, then the AWS pricing page, and manually tracking usage in a spreadsheet. This takes hours and the data is never truly real-time.
→
Use get_ai_feature_pricing to compare costs instantly. Run get_api_usage_statistics to get live data, and get_eden_ai_metadata for your credit balance. All in one chat session.
Debugging workflows in isolation
A developer finds a workflow error, but can't tell if the issue is the workflow logic or the underlying service limit. They waste time checking only the workflow definition.
→
First, run get_workflow_configuration to see the steps. Then, check get_api_usage_statistics to verify if the failure was a usage limit or a configuration error.
Over-engineering the integration
Trying to build a complex middleware layer to handle every possible AI integration point, resulting in excessive code and delayed deployment. This adds technical debt.
→
Let Eden AI handle the abstraction. Use list_ai_providers and list_available_ai_features to quickly scope out possibilities without building the infrastructure yourself.
When It Fits, When It Doesn't
Use this if you need a single pane of glass for AI operations. The key is when you need to know how much AI costs or if an AI feature exists across multiple vendors. If your process requires comparing costs (e.g., 'Which provider is cheaper for translation?') or tracking aggregate usage across multiple systems, this server is non-negotiable. Don't use this if you only need to run a simple, single-provider task, or if you are only interested in one vendor's documentation. For those cases, the vendor's native SDK is simpler and faster. But if complexity and cost tracking are key, Eden AI is the only way to go.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Eden AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking AI costs across multiple vendors shouldn't require a spreadsheet and three logins.
Today, if you want to know the cost of a single feature—say, sentiment analysis—you're stuck. You have to open the OpenAI dashboard, check their pricing, then log into the Google Cloud Console to see their rates, and maybe check AWS's site. You copy-paste numbers into a spreadsheet, and by the time you're done, half the data is stale or you missed a crucial difference.
With Eden AI, you just ask your agent: 'What's the pricing for sentiment analysis across all providers?' The agent uses `get_ai_feature_pricing` and spits out a clear, comparable cost breakdown. You get the answer you need, instantly, right where you're working.
Eden AI MCP Server: Manage all AI usage and workflows.
Manual auditing of AI operations means checking status dashboards for every single workflow, and separately running reports to see total usage. You spend time clicking through status screens, downloading CSVs, and trying to match the report dates to the actual workflow runs.
Now, you can run `list_ai_workflows` to see everything active. Then, you check `get_api_usage_statistics` to see the cost impact of those workflows, all from one conversation. You get a full picture of cost and status, period.
Common Questions About Eden AI MCP
How do I check my current AI credit balance using Eden AI MCP Server? +
You use the get_eden_ai_metadata tool. It immediately pulls your account's current credit balance and general metadata, letting you know your spending limits right away.
Which tool do I use to compare pricing between OpenAI and Google? +
You run get_ai_feature_pricing. This tool compares the cost of a specific AI feature across different vendors so you can choose the most cost-effective option.
How do I list all active AI automation workflows? +
Call list_ai_workflows. This command lists every automation workflow configured in your Eden AI account, giving you a quick inventory of your systems.
Can I track my total AI costs from different providers using get_api_usage_statistics? +
Yes. get_api_usage_statistics retrieves technical stats on your API usage and costs across all integrated providers, giving you a single financial view.
What does list_ai_providers do? +
The list_ai_providers tool lists all available AI vendors (like OpenAI, Google, AWS) that support a given feature, helping you narrow down your vendor options.
How do I use get_eden_ai_metadata to check my account status and credit balance? +
It retrieves your account metadata and current credit balance. This single call shows your available funds and organizational usage metrics, helping you manage spending proactively.
What is the best way to check feature pricing using get_ai_feature_pricing? +
You provide the specific feature name and the providers you want to compare. The tool returns a breakdown of costs, allowing you to pick the most cost-effective service for your needs.
When should I use list_all_llm_models to understand available AI options? +
Use this tool when you need a comprehensive list of all LLMs supported by the unified API. It shows every model available, helping you select the right brain for your specific task.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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