ExerciseDB MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ExerciseDB through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 ExerciseDB, 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 ExerciseDB MCP Server
Connect to ExerciseDB and explore a comprehensive exercise database through natural conversation.
The Vercel AI SDK gives every ExerciseDB tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Exercise Search — Browse 1300+ exercises with detailed instructions and animated GIFs
- Filter by Body Part — Find exercises for back, chest, shoulders, legs, arms, waist and more
- Filter by Target Muscle — Search exercises targeting specific muscles (abs, biceps, quads, glutes)
- Filter by Equipment — Find exercises by equipment type (dumbbell, barbell, body weight, cable)
- Search by Name — Find exercises by name (crunches, curls, presses, squats)
- Reference Lists — Get complete lists of body parts, target muscles and equipment types
The ExerciseDB MCP Server exposes 9 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 ExerciseDB to Vercel AI SDK via MCP
Follow these steps to integrate the ExerciseDB 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 9 tools from ExerciseDB and passes them to the LLM
Why Use Vercel AI SDK with the ExerciseDB MCP Server
Vercel AI SDK provides unique advantages when paired with ExerciseDB 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 ExerciseDB integration everywhere
Built-in streaming UI primitives let you display ExerciseDB 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
ExerciseDB + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ExerciseDB MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ExerciseDB in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ExerciseDB tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ExerciseDB capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ExerciseDB through natural language queries
ExerciseDB MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect ExerciseDB to Vercel AI SDK via MCP:
get_all_exercises
Returns exercise names, body parts, target muscles, equipment needed, GIF URLs and step-by-step instructions. Supports limit and offset parameters for pagination. Get all exercises with pagination
get_body_part_list
Useful for discovering valid body part values to use with get_exercises_by_body_part. Get list of all body parts
get_equipment_list
Useful for discovering valid equipment values to use with get_exercises_by_equipment. Get list of all equipment types
get_exercise_by_id
Returns exercise name, body part, target muscle, equipment, secondary muscles, step-by-step instructions and animated GIF URL. Get a specific exercise by ID
get_exercises_by_body_part
Common body parts include: "back", "chest", "shoulders", "upper arms", "lower arms", "upper legs", "lower legs", "neck", "waist", "cardio". Returns exercise details with target muscles, equipment and instructions. Get exercises by body part
get_exercises_by_equipment
Common equipment includes: "assisted", "band", "barbell", "body weight", "bosu ball", "cable", "dumbbell", "elliptical machine", "ez barbell", "hammer", "kettlebell", "leverage machine", "medicine ball", "olympic barbell", "resistance band", "roller", "rope", "skierg machine", "sled machine", "smith machine", "stability ball", "stationary bike", "stepmill machine", "tire", "trap bar", "upper body ergometer", "weighted", "wheel roller". Returns exercise details with body part, target muscles and instructions. Get exercises by equipment type
get_exercises_by_name
Returns matching exercises with full details including body part, target muscles, equipment, instructions and GIF URLs. Get exercises by name search
get_exercises_by_target
Common targets include: "abductors", "abs", "adductors", "biceps", "calves", "cardiovascular system", "delts", "forearms", "glutes", "hamstrings", "lats", "levator scapulae", "pectorals", "quads", "serratus anterior", "spine", "traps", "triceps", "upper back". Returns exercise details with body part, equipment and instructions. Get exercises by target muscle
get_target_list
Useful for discovering valid target values to use with get_exercises_by_target. Get list of all target muscles
Example Prompts for ExerciseDB in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ExerciseDB immediately.
"Show me exercises for chest with dumbbells."
"What exercises target the abs?"
"Show me exercises I can do with just body weight."
Troubleshooting ExerciseDB MCP Server with Vercel AI SDK
Common issues when connecting ExerciseDB to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpExerciseDB + Vercel AI SDK FAQ
Common questions about integrating ExerciseDB 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 ExerciseDB with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
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Google's framework for building production AI agents.
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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 ExerciseDB to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.