pulsemcp Safe content atomic mcp-remote

Strava

A Strava API integration server that enables AI assistants to access and interact with fitness data through the MCP protocol. This implementation provides tools for retrieving athlete profiles, activities, segments, routes, and clubs from Strava, with features for exporting routes in GPX/TCX formats. It handles authentication with token refresh capabilities and includes data validation using Zod schemas. Ideal for fitness analysis, training insights, and route planning use cases where AI assistants need to work with personal workout data.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: security
Source: PulseMCP
Repository: github.com/r-huijts/strava-mcp
Author type: human
Updated: 2026-04-29

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MCP

Resolve Strava 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"