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by nakishiyaman • Uncategorized
An MCP server enabling external AI tools to read, search, and interact with local notes using hybrid search and semantic embeddings.
List and retrieve notes from a local-first note-taking app.
Perform hybrid full-text and semantic search over user notes.
Find related notes and backlinks within a personal knowledge base.
Tessera MCP server provides a built-in Model Context Protocol interface that allows external AI agents like Claude Desktop to access, search, and retrieve notes stored locally. It supports hybrid full-text and semantic search, note listing, backlink finding, and similarity search using vector embeddings. This enables seamless integration of AI tools with a local-first, privacy-focused note-taking system, preserving user control and data privacy.