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.
Universal AI bridge for Obsidian vaults using MCP. Provides safe read/write access to notes with 11 comprehensive methods for vault operations including search, batch operations, tag management, and frontmatter handling. Works with Claude, ChatGPT, and any MCP-compatible AI assistant.
Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.
Quality signal
60/100 (Good)
57/100 (Good)
Install path
npx · high
npx · high
Engagement
2 0 0 1,595
2 0 0 360
Tools
14 MCP methods covering file, directory, batch, search, metadata, and tag operationsSafe YAML frontmatter parsing and AST-aware updates preserving formattingWrite modes including overwrite, append, and prependToken-optimized compact JSON responses with optional pretty-printingSafe deletion with confirmation to prevent accidental lossAutomatic path trimming and comprehensive error handling
Runs fully locally with no external API or cloud dependencySupports semantic search combined with keyword boosting for exact matchesIndexes PDF, DOCX, Markdown, and plain text filesSemantic chunking preserves topic boundaries and code blocksMCP protocol support for integration with AI tools and CLI usageFile sync and incremental indexing with status and control tools
