Llmintel Mcp vs Codebase Memory Mcp

Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.

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Llmintel Mcp
hivemindunit
💻 Developer Tools
Codebase Memory Mcp logo
💻 Developer Tools
SummaryCheck whether an LLM model id is deprecated, retiring, or retired, and what to migrate to. Covers OpenAI, Anthropic, Azure, Bedrock, Google, and Cohere. No API key. npx -y @llmintel/mcp or https://llmintel.ai/v1/mcpCode-intelligence engine that indexes a repo into a persistent knowledge graph — functions, classes, call chains, HTTP routes, cross-service links. 159 languages via tree-sitter + Hybrid LSP, sub-ms structural queries, 99% fewer tokens than grep. Single static binary, zero dependencies, 100% local. npx codebase-memory-mcp
Quality signal49/100 (Fair)55/100 (Good)
Install pathnpx · highuvx · high
Engagement 0 0 0 1 4 1 1 38,052
Toolscheck_modellist_retiring_modelssuggest_replacementsearch_modelsrecent_lifecycle_changesIndexes 158 languages via tree-sitter and Hybrid LSPPersistent knowledge graph of code elements and relationsSingle static binary with zero runtime dependenciesSub-millisecond structural queries using CypherBuilt-in 3D graph visualization UI (optional)15 MCP tools including search, trace, architecture analysis
Verified / officialNoNo
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