ExerciseDB MCP. Find any exercise by body part, gear, or muscle group.
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ExerciseDB. Access 1300+ exercises and build workout routines using natural conversation. This server lets your AI client filter workouts by body part, equipment, target muscle, or name.
It provides detailed instructions and animated GIFs for every movement.
What your AI agents can do
Get all exercises
Returns exercise names, body parts, target muscles, equipment needed, GIF URLs, and step-by-step instructions for all exercises.
Get body part list
Retrieves a list of all valid body parts you can filter exercises by.
Get equipment list
Retrieves a list of all valid equipment types available for filtering exercises.
Retrieves lists of exercises specifically for body parts like the back, chest, or quads.
Searches for exercises that require specific gear, such as barbells, dumbbells, or just body weight.
Locates movements designed to work particular muscle groups, like the glutes or biceps.
Fetches full details for a single exercise, including step-by-step instructions and GIF links.
Finds exercises when you know the name, like 'squats' or 'crunches'.
Provides complete lists of body parts, equipment, and target muscles so you know what to search for.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
019d8438get all exercises
Returns exercise names, body parts, target muscles, equipment needed, GIF URLs, and step-by-step instructions for all exercises.
019d8438get body part list
Retrieves a list of all valid body parts you can filter exercises by.
019d8438get equipment list
Retrieves a list of all valid equipment types available for filtering exercises.
019d8438get exercise by id
Gets all details for one specific exercise using its unique ID.
019d8438get exercises by body part
Returns a list of exercises matching a specified body part, along with equipment and target muscles.
019d8438get exercises by equipment
Returns a list of exercises matching a specified equipment type, with body part and target muscle details.
019d8438get exercises by name
Finds exercises that match a given name search, returning full details and GIFs.
019d8438get exercises by target
Returns a list of exercises targeting a specified muscle group, including body parts and equipment.
019d8438get target list
Retrieves a list of all valid target muscles you can filter exercises by.
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What you can do with this MCP connector
ExerciseDB MCP Server
Got a workout plan? This server lets your AI client dig into over 1300 exercises. You can build routines and check form right in the chat. You don't gotta know the lingo; just talk to it. You'll get all the details—step-by-step instructions and animated GIFs for every single thing you look up.
get_all_exercises gives your AI client the names, body parts, target muscles, equipment, GIF URLs, and step-by-step instructions for every exercise in the database.
get_exercise_by_id pulls every detail for one specific exercise if you know its unique ID.
get_exercises_by_body_part finds lists of exercises that hit a specific body part, telling you what equipment and target muscles they use.
get_exercises_by_equipment searches for exercises based on the gear you've got, listing body parts and target muscles for each match.
get_exercises_by_name finds exercises when you just know the name, giving you full details and GIFs.
get_exercises_by_target locates movements designed for a specific muscle group, including the body parts and equipment needed.
get_body_part_list gives you a complete list of all valid body parts you can filter by.
get_equipment_list returns a list of all valid equipment types you can use to filter your searches.
get_target_list returns a list of all valid target muscles you can use to filter your searches.
How ExerciseDB MCP Works
- 1 First, subscribe to the server and input your ExerciseDB API Key into your AI client.
- 2 Next, tell your agent what you want. For example: 'Show me chest exercises using dumbbells.'
- 3 Your agent calls the necessary tools, returns the filtered list, and gives you the exercise name, instructions, and GIF.
The bottom line is that your AI client handles the whole search process, letting you talk to the database instead of building complex API calls.
Who Is ExerciseDB MCP For?
This server is for anyone building fitness-adjacent applications or planning workouts. It helps personal trainers who need to quickly find exercises for a specific client's limitations, and app developers who need accurate, structured data for their apps. It’s built for people who hate manually cross-referencing workout guides.
Uses the server to build client programs. They can filter exercises by muscle group, equipment, or body part in seconds.
Integrates the tool to populate their app's exercise library. They use the reference lists to ensure data consistency.
Plans their own routines. They use the server to discover new movements or check proper form with the included GIFs.
What Changes When You Connect
- See full workout details instantly. When you find an exercise, you get the name, body part, required equipment, target muscles, and step-by-step instructions. This is all in one result set.
- Never guess a filter again. Use the
get_body_part_list,get_equipment_list, orget_target_listtools to get definitive lists of all valid options before running a search. - Design complex routines fast. You don't have to manually cross-reference different fitness databases. You can search by body part, then narrow it down by equipment, all in one flow.
- Get perfect form feedback. The server includes animated GIFs and detailed instructions for every exercise, so users know exactly how to move.
- Handle specific needs. Need something for your lower back that uses only body weight? The server finds it, and the result details the target muscles and body parts.
- Build a complete library. Developers can use
get_all_exercisesto pull massive amounts of raw data, ensuring their app's content is always up-to-date.
Real-World Use Cases
A trainer needs a workout for a client with limited mobility.
A personal trainer needs a full-body routine, but the client can only use dumbbells and has bad knees. Instead of scrolling through pages of generic searches, the trainer asks their agent: 'Give me full-body exercises using dumbbells, avoiding anything for the lower legs.' The agent runs get_exercises_by_equipment and filters the results based on the required body parts, delivering a tailored routine instantly.
An app developer needs structured data for a new 'core' workout module.
An app developer needs 50 core exercises. They use the get_target_list to confirm 'abs' is a valid target. Then, they use get_exercises_by_target to pull the list, ensuring every entry includes the necessary equipment and instructions for their app's database.
A user wants to build a routine using only body weight.
A fitness enthusiast wants a quick, no-gear workout. They ask their agent: 'Show me bodyweight exercises for my back.' The agent runs get_exercises_by_body_part and filters by equipment, giving them a list of exercises like 'Supermans' and 'Supermans' with no equipment needed.
A researcher needs to check the full scope of a muscle group.
A researcher needs to know every exercise that hits the triceps, regardless of the equipment. They use the get_target_list to validate 'triceps' and then call get_exercises_by_target, getting a comprehensive list of all relevant movements and their details.
The Tradeoffs
Searching by name, then filtering manually
The user searches for 'curls' using get_exercises_by_name. The result shows a list, but the user then has to check the instructions or GIFs manually to confirm if the equipment is dumbbells or just body weight.
→ Instead, ask the agent to find the exercise by name and equipment in one prompt. The agent handles the filtering, giving you the full data set (body part, equipment, instructions, GIF) without you having to cross-check the results.
Calling multiple list tools sequentially
The developer calls get_body_part_list to get 'chest', then get_equipment_list to get 'dumbbell', and finally calls get_exercises_by_body_part and then get_exercises_by_equipment separately, hoping the two lists intersect correctly.
→ You don't need to run multiple list tools. Just tell the agent the criteria (e.g., 'Chest exercises using dumbbells'). The agent uses the tools internally to find the intersection and gives you one clean, filtered list.
Assuming a single tool covers everything
Thinking that get_exercises_by_body_part will give you enough detail, but only getting the name and nothing about the equipment or target muscles.
→
The server is designed to return full details every time. When you use get_exercises_by_body_part, you get the body part, target muscles, equipment, and instructions all together, so you never have to call another tool for basic details.
When It Fits, When It Doesn't
Use this server if you need structured, multi-dimensional fitness data. This is for developers building workout trackers, for trainers needing client programs, or for fitness enthusiasts who want structured data. You must use this if you need to filter exercises by two or more criteria (e.g., back AND dumbbells). Don't use this if you just need a general list of exercises; use a simple database query tool instead. Also, don't try to predict what exercises exist; always use get_body_part_list, get_equipment_list, or get_target_list first to confirm valid input values.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ExerciseDB. 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 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually building workout plans means jumping between tabs and checking multiple sources.
Today, if you're building a workout plan, you open a database, run a search for 'back'. You get a list of 50 exercises. Then you open a second tab to check equipment, maybe you need dumbbells. You filter that list, but then you realize you also need to know if they hit your traps. You have to copy names, cross-reference, and manually confirm the equipment and target muscles for every single one.
With ExerciseDB MCP Server, you simply tell your agent: 'Give me back exercises using dumbbells that hit the traps.' The agent runs the necessary checks and returns a clean list of movements with full details, eliminating the cross-referencing and manual filtering entirely.
ExerciseDB MCP Server: Get full, filtered workout details.
The process of filtering and gathering details used to take a dozen clicks across different resource pages. You'd check the body part, then check the equipment, then check the target. This was slow and error-prone.
Now, you tell your agent the criteria, and it handles the complexity. It gives you the full list of movements, including animated GIFs and step-by-step instructions. It's one prompt, one answer.
Common Questions About ExerciseDB MCP
How do I use the get_body_part_list tool with ExerciseDB MCP Server? +
You call get_body_part_list to get a definitive list of valid body parts. This prevents you from making a search query with a typo (like 'baack' instead of 'back').
Can I find exercises that target only the glutes? +
Yes. Just ask the agent to use the get_exercises_by_target tool, specifying 'glutes' as the target muscle.
What equipment can I use to filter my search? +
You can use get_equipment_list to see every type of equipment the database tracks, like 'barbell' or 'kettlebell'.
How do I get all the details for one specific exercise? +
Use get_exercise_by_id and provide the specific ID. This returns the name, body part, target muscle, equipment, instructions, and the animated GIF URL.
Does ExerciseDB MCP Server handle general fitness planning? +
Yes. The server allows you to combine multiple filters—body part, equipment, and target muscle—to build highly specific and targeted workout routines.
What does the `get_target_list` tool provide for filtering muscle groups? +
It provides a definitive list of all valid target muscles. This list helps you ensure you use correct values when calling get_exercises_by_target.
How do I find exercises that require a specific piece of equipment using `get_exercises_by_equipment`? +
You pass the equipment name (e.g., 'kettlebell', 'dumbbell') directly into the get_exercises_by_equipment tool. This returns all matching exercises, complete with instructions and body parts.
What is the best way to search for exercises by name using `get_exercises_by_name`? +
Simply provide the exercise name, or keywords related to it, to the get_exercises_by_name tool. The tool returns full details, including the body parts and target muscles for verification.
How do I get an ExerciseDB API key? +
Sign up on RapidAPI 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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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