semble
★ 4.5k
vs
scholar-search-mcp
★ 193
semble vs scholar-search-mcp
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.; scholar-search-mcp: This MCP server integrates Semantic Scholar and arXiv APIs to provide academic paper search and metadata retrieval for AI assistants. It supports features like keyword search with parallel merging, paper details, citations, references, author info, batch lookup, recommendations, and arXiv LaTeX source download. The tool can be configured for different AI assistants like Claude and Cursor.
01
TL;DR
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Choose scholar-search-mcp if…AI assistants can search for academic papers to answer research questions
02
Side-by-Side Comparison
03
Features
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
scholar-search-mcp01Search papers with keyword search and parallel merge from Semantic Scholar and arXiv with optional filters
02Get full paper details including title, authors, abstract, citations
03Retrieve citations and references for a given paper
04Fetch author profiles and paper lists
05Batch lookup up to 500 papers in one call
04
Use Cases
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
scholar-search-mcp↳AI assistants can search for academic papers to answer research questions
↳Researchers can quickly fetch paper details, citations, and references for literature review
↳Users can batch retrieve metadata for multiple papers efficiently
05
Best For
sembleCode AssistantRAG / Knowledge Base
scholar-search-mcpTrendingDev Tooling
FAQ
FAQ
What is the difference between semble and scholar-search-mcp?
Both semble and scholar-search-mcp are in the RAG / Knowledge Base category. semble has 4.5k stars, while scholar-search-mcp has 193 stars.
Which is better, semble or scholar-search-mcp?
The best choice depends on your use case. Choose semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities, and scholar-search-mcp if AI assistants can search for academic papers to answer research questions.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is scholar-search-mcp free or open source?
Yes, scholar-search-mcp is open source on GitHub (MIT).
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