How do I get an ExerciseDB API key?

Sign up on [**RapidAPI**](https://rapidapi.com/justin-w-fns/api/exercisedb) and subscribe to the ExerciseDB API. Free tier includes 10 requests/day. Paid plans offer more requests.

What body parts are available?

The database includes: back, chest, shoulders, upper arms, lower arms, upper legs, lower legs, neck, waist and cardio. Use get_body_part_list to see the complete list.

Does the API include exercise instructions?

Yes! Each exercise includes step-by-step instructions (numbered list) and an animated GIF URL showing the proper form and movement.

ExerciseDB MCP Server for VS Code Copilot 9 tools — connect in under 2 minutes

Name: ExerciseDB
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 9 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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Classic Setup·json

{
  "mcpServers": {
    "exercisedb": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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About ExerciseDB MCP Server

Connect to ExerciseDB and explore a comprehensive exercise database through natural conversation.

GitHub Copilot Agent mode brings ExerciseDB data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 9 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the ExerciseDB MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using ExerciseDB

Ask Copilot: "Using ExerciseDB, help me...". 9 tools available

Why Use VS Code Copilot with the ExerciseDB MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with ExerciseDB through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

ExerciseDB + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the ExerciseDB MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

ExerciseDB MCP Tools for VS Code Copilot (9)

These 9 tools become available when you connect ExerciseDB to VS Code Copilot 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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

Common issues when connecting ExerciseDB to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

ExerciseDB + VS Code Copilot FAQ

Common questions about integrating ExerciseDB MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.