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Glama
BACH-AI-Tools

Exercises By Api Ninjas MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
HOSTNo不适用 (Not applicable)
PORTNo不适用 (Not applicable)
API_KEYYesAPI 密钥 (API Key for authentication)

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tasks
{
  "list": {},
  "cancel": {},
  "requests": {
    "tools": {
      "call": {}
    },
    "prompts": {
      "get": {}
    },
    "resources": {
      "read": {}
    }
  }
}
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
v1exercisesB

API Ninjas Exercises API endpoint. Returns up to 10 exercises that satisfy the given parameters.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.2/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and distinct by default.

Naming Consistency5/5

A single tool inherently has consistent naming, as there are no other tools to compare it against for patterns or conventions.

Tool Count2/5

One tool is too few for a server with a domain like exercises, which typically requires operations like searching, filtering, or retrieving details. This minimal set limits functionality and feels incomplete for the scope.

Completeness2/5

The server covers only a basic query function (v1exercises), lacking essential operations such as getting exercise details by ID, creating custom exercises, or managing user-specific data. This represents significant gaps for a comprehensive exercise-related service.

Maintenance

ActivityInactive
ResponsivenessNo issues