balldontlie-mcp
★ 23
vs
semble
★ 4.5k
balldontlie-mcp vs semble
balldontlie-mcp: This MCP Server integrates the Balldontlie API to provide information about players, teams, and games for NBA, NFL, and MLB. It includes tools for querying teams, players, and games, and a prompt for generating game schedules.; 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
Choose balldontlie-mcp if…Looking up player information across leagues
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
02
Side-by-Side Comparison
03
Features
balldontlie-mcp01Provides data for NBA, NFL, and MLB
02Query teams, players, and games
03Supports pagination for large datasets
04Includes a prompt for generating game schedules
05Integrates with Claude Desktop via MCP
semble01Fast 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
balldontlie-mcp↳Looking up player information across leagues
↳Checking today's game schedules
↳Generating custom game schedules
semble↳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
balldontlie-mcpTrendingAPI IntegrationDev Tooling
sembleCode AssistantRAG / Knowledge Base
FAQ
FAQ
What is the difference between balldontlie-mcp and semble?
Both balldontlie-mcp and semble are in the Dev Tooling category. balldontlie-mcp has 23 stars, while semble has 4.5k stars.
Which is better, balldontlie-mcp or semble?
The best choice depends on your use case. Choose balldontlie-mcp if Looking up player information across leagues, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is balldontlie-mcp free or open source?
Yes, balldontlie-mcp is open source on GitHub (MIT).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
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