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Search and retrieve local Markdown vault content with stable, verifiable references.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "markdown-mcp" yet — see the docs or source repo.
Search my Markdown knowledge vault for content related to "user interviews". Return the 5 most relevant fragments with their headings and stable IDs.
A relevance-ranked list of note fragments with headings, snippet text, and stable IDs for citation.
Find the content under the heading "Issues and Improvements" in my project retrospective notes, and extract the full section text with anchor details.
The full target section, document path, heading hierarchy, and anchor information for direct retrieval.
Summarize the "Q2 product strategy" from my Markdown vault, and attach the source heading and stable ID for each key conclusion.
A summary with cited conclusions, where each key point maps back to a specific note fragment.
Search, validate, and cross-reference structured Markdown knowledge vaults for AI workflows.
Search Markdown vaults with full-text, semantic, and frontmatter indexing.
Programmatically access and manage markdown knowledge vault notes, tasks, and projects.
Search markdown knowledge bases with hybrid ranking and intelligent reranking.
Turn Markdown folders into a searchable knowledge base with persistent memory.
Read, edit, or delete specific Markdown sections without touching whole files.