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strava-mcp vs semble
strava-mcp logo
strava-mcp
★ 16
vs
semble logo
semble
★ 4.5k

strava-mcp vs semble

strava-mcp: SportsMCP is a Model Context Protocol server that provides AI assistants with secure, read-only access to personal Strava fitness data. It deploys on Cloudflare Workers, offers 10 MCP tools, and supports optional webhooks for real-time notifications. Compatible with Claude Desktop, Cursor, Windsurf, and many other MCP clients.; semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.

01

TL;DR

strava-mcp logoChoose strava-mcp if…

Ask an AI assistant to show your recent Strava workouts and stats

semble logoChoose semble if…

Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities

02

Side-by-Side Comparison

Field
strava-mcp logostrava-mcp
semble logosemble
Category
Observability
RAG / Knowledge Base
Stars
★ 16
★ 4.5k
License
MIT
MIT
Updated
1mo ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai, coach, mcp
agents, code-search, embeddings
03

Features

strava-mcp logostrava-mcp
01Works with any MCP client (Claude Desktop, Cursor, Windsurf, etc.)
02Secure OAuth 2.0 authentication with per-user token isolation
0310 MCP tools covering activities, streams, segments, routes, athlete stats
04Optional real-time webhooks with Poke notifications
05Automatic token refresh and edge performance on Cloudflare Workers
semble logosemble
01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
04

Use Cases

strava-mcp logostrava-mcp
↳Ask an AI assistant to show your recent Strava workouts and stats
↳Get detailed activity data (heart rate, pace, power) from your runs or rides
↳Integrate Strava data into AI-powered dashboards or workflows
semble logosemble
↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
05

Best For

strava-mcp logostrava-mcp
TrendingAPI Integration
semble logosemble
Code AssistantRAG / Knowledge Base
FAQ

FAQ

What is the difference between strava-mcp and semble?
Both strava-mcp and semble are in the Observability category. strava-mcp has 16 stars, while semble has 4.5k stars.
Which is better, strava-mcp or semble?
The best choice depends on your use case. Choose strava-mcp if Ask an AI assistant to show your recent Strava workouts and stats, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is strava-mcp free or open source?
Yes, strava-mcp is open source on GitHub (MIT).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
→

Related

Alternatives to strava-mcp →Alternatives to semble →strava-mcp details →semble details →
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