# Boostcamp MCP Server

> Use this tool when you need to access and analyze fitness data through natural language interactions. It solves problems related to tracking workout history, retrieving exercise programs, and gaining insights into fitness progress. The tool takes natural language inputs and outputs relevant fitness data, such as workout history and analytics, making it ideal for users seeking a conversational interface to their fitness information.

Canonical page: https://skillsregistry.net/skills/dcaslin-boostcamp-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dcaslin-boostcamp-mcp

## Description

Integrates with the Boostcamp fitness platform to provide workout history, programs, exercises, and analytics via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y6qumgpm6q)
- **Repository:** <https://github.com/dcaslin/boostcamp-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dcaslin-boostcamp-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dcaslin-boostcamp-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dcaslin-boostcamp-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt