Eden AI MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Eden AI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Eden AI, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Eden AI MCP Server
Integrate Eden AI, the unified AI API platform, directly into your AI workflow. Manage your automation workflows and pipelines, track available AI providers (OpenAI, Google, AWS, etc.) across various features, monitor real-time API usage and costs, and oversee your LLM models using natural language.
The Vercel AI SDK gives every Eden AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Workflow Oversight — List and retrieve detailed information and status for all your configured AI automation workflows.
- Provider Intelligence — Access the provider registry to monitor available AI capabilities, pricing, and service levels for specific features.
- Usage Monitoring — Track real-time API consumption statistics, credit balance, and organizational spending across all providers.
- Model Management — List all specific large language models (LLMs) and AI features supported by the Eden AI platform.
The Eden AI MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Eden AI to Vercel AI SDK via MCP
Follow these steps to integrate the Eden AI MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Eden AI and passes them to the LLM
Why Use Vercel AI SDK with the Eden AI MCP Server
Vercel AI SDK provides unique advantages when paired with Eden AI through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Eden AI integration everywhere
Built-in streaming UI primitives let you display Eden AI tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Eden AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Eden AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Eden AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Eden AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Eden AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Eden AI through natural language queries
Eden AI MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Eden AI to Vercel AI SDK via MCP:
get_ai_feature_pricing
Identify the pricing for a specific AI feature across different providers
get_api_usage_statistics
Retrieve technical statistics on your API usage and costs
get_eden_ai_metadata
Retrieve metadata and credit balance for your Eden AI account
get_workflow_configuration
Get detailed settings and steps for a specific AI workflow
list_ai_providers
List all AI providers (OpenAI, Google, AWS, etc.) available for a specific feature
list_ai_workflows
List all AI automation workflows configured in your Eden AI account
list_all_llm_models
List all specific large language models available through the unified API
list_available_ai_features
List all AI features and subfeatures supported by the Eden AI platform
list_latest_ai_automations
Identify the most recently updated AI workflows
quick_ai_provider_audit
Retrieve a high-level summary of available providers for text analysis
Example Prompts for Eden AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Eden AI immediately.
"List all active AI workflows."
"Show me the pricing for 'sentiment_analysis' across providers."
"What is my current Eden AI credit balance?"
Troubleshooting Eden AI MCP Server with Vercel AI SDK
Common issues when connecting Eden AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEden AI + Vercel AI SDK FAQ
Common questions about integrating Eden AI MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Eden AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Eden AI to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.