mlb-mcp
★ 27
vs
semble
★ 4.5k
mlb-mcp vs semble
mlb-mcp: This project implements a Model Context Protocol (MCP) server for accessing MLB statistics via the MLB Stats API and pybaseball library. It provides structured tools for statcast, fangraphs, baseball reference data, and includes plotting capabilities. Designed for integration with MCP-compatible clients like Claude Desktop.; 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 mlb-mcp if…Integrate live baseball stats into AI assistants like Claude Desktop
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
mlb-mcp01Access MLB Stats API for live player and team data
02Query Statcast data for advanced metrics
03Generate matplotlib plots (base64 encoded) from pybaseball
04Retrieve fangraphs and baseball reference statistics
05Configurable logging and easy deployment via uv
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
mlb-mcp↳Integrate live baseball stats into AI assistants like Claude Desktop
↳Analyze player performance using Statcast and advanced metrics
↳Create automated visual reports of baseball data
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
mlb-mcpTrendingAPI IntegrationData Processing
sembleCode AssistantRAG / Knowledge Base
FAQ
FAQ
What is the difference between mlb-mcp and semble?
Both mlb-mcp and semble are in the Dev Tooling category. mlb-mcp has 27 stars, while semble has 4.5k stars.
Which is better, mlb-mcp or semble?
The best choice depends on your use case. Choose mlb-mcp if Integrate live baseball stats into AI assistants like Claude Desktop, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is mlb-mcp free or open source?
Yes, mlb-mcp is open source on GitHub.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
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