Codebase Memory Mcp vs Llmintel Mcp

Side-by-side comparison of two Model Context Protocol servers โ€” 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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Codebase Memory Mcp logo
๐Ÿ’ป Developer Tools
Llmintel Mcp logo
Llmintel Mcp
hivemindunit
๐Ÿ’ป Developer Tools
SummaryCode-intelligence engine that indexes a repo into a persistent knowledge graph โ€” 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-mcpCheck 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/mcp
Quality signal55/100 (Good)49/100 (Fair)
Install pathuvx ยท highnpx ยท high
Engagement 4 1 1 38,052 0 0 0 1
ToolsIndexes 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 analysischeck_modellist_retiring_modelssuggest_replacementsearch_modelsrecent_lifecycle_changes
Verified / officialNoNo
Open listingView Codebase Memory McpView Llmintel Mcp
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