Spotr Exercise Library
Spotr MCP Server provides AI assistants with access to a fitness movement library stored in Airtable, enabling personalized workout program creation. The server exposes both tools and resources for fetching exercises by muscle group (Chest, Back, Shoulders, Arms, Legs, Core) with corresponding demo videos. Built with TypeScript and the MCP SDK, it uses a stdio transport for communication and includes robust error handling and logging. This implementation is particularly valuable for fitness coaches and AI assistants designing tailored workout programs based on specific muscle groups or training splits.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/thompson-ad/spotr-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Spotr Exercise Library from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.