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Index and search local Markdown and PDF knowledge bases efficiently.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Lexomni MCP" yet — see the docs or source repo.
Use Lexomni MCP to index my local knowledge base and search for content related to “vector database performance optimization,” prioritizing key passages and source paths from Markdown notes and PDF files.
Returns relevant documents, matched passage summaries, and file paths for follow-up reading.
Use Lexomni MCP to scan my local Markdown and PDF files, build a searchable index, and list the most frequent keywords by topic to help me understand my knowledge base coverage.
Generates an indexed file overview, topic keyword lists, and a structural summary for future search.
Through Lexomni MCP, find explanations about “SQLite FTS5 configuration” and “PDF indexing limitations” in local documents, and provide the most relevant original excerpts.
Outputs the most relevant original text, source file locations, and a comparable list of search results.
Search markdown knowledge bases with hybrid ranking and intelligent reranking.
Search, validate, and cross-reference structured Markdown knowledge vaults for AI workflows.
Manage, version, and query a governance-grade Markdown knowledge base.
Index a knowledge base into Chroma and retrieve relevant document fragments.
Search and read indexed local documents with full-text and fuzzy matching.
Search, manage, verify, and reindex documents in a local vector knowledge base.