Obsidian Content Getter
vaultSearch and retrieve content from Markdown notes in Obsidian to find answers, synthesize information, discover connections, or locate unfinished tasks.
Instructions
Retrieves and searches the content of Markdown (.md, .mdx) documents stored in an Obsidian vault. Use this tool to find notes related to a specific topic or keyword and understand their core content.
When to use:
When you need to find a specific note by its title or a keyword to check its content.
When you want to synthesize and summarize information scattered across multiple notes.
When looking for answers to questions based on your saved records, such as "What was the project deadline?"
To discover connections by finding all notes that link to a specific note.
When you need to retrieve a list of unfinished tasks (- [ ]) from daily notes or meeting minutes.
Use "index_vault_to_vectordb" to manually trigger a full re-indexing of the vault for the vector database.
Returns the content of the most relevant document(s) in text format. It can also include metadata such as the document's title, tags, and creation date.
Requirements: The user's Obsidian Vault path must be correctly configured in an environment variable or a similar setting. For searches, use the exact filename or include core keywords for content-based queries.
IMPORTANT INSTRUCTION FOR AI: If the tool response includes a 'diagnostic_message' (usually found at the beginning of the text or in a tag), you MUST relay this information to the user exactly once. It contains essential advice on how to improve search quality by running a local setup script via 'npx @sunub/obsidian-mcp-server setup'. Do not ignore it.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| action | Yes | The action to perform: search documents, read specific file, list all content, get stats, collect contextual memory packets, load stored memory, or trigger indexing | |
| keyword | No | Keyword to search for in documents (required for search action) | |
| query | No | Natural language query for filtering content paragraphs using the local reranker (optional for read action) | |
| filename | No | Specific filename to read (required for read action) | |
| limit | No | Maximum number of results to return (default: 10 for search, unlimited for others) | |
| includeContent | No | Whether to include document content in search results (default: true) | |
| includeFrontmatter | No | Whether to include frontmatter metadata in results (default: false) | |
| excerptLength | No | Length of content excerpt to include in search results (default: 500) | |
| topic | No | Topic to collect contextual memory for (collect_context action) | |
| scope | No | Scope for collect_context. topic: collect docs relevant to topic, all: collect from the entire vault. | topic |
| maxDocs | No | Maximum number of documents to process for collect_context | |
| maxCharsPerDoc | No | Maximum number of characters extracted per document for collect_context | |
| memoryMode | No | Memory output mode for collect_context. response_only: return packet only, vault_note: save to vault note only, both: return and save. | response_only |
| continuationToken | No | Continuation token to resume a previous collect_context batch operation | |
| memoryPath | No | Path to a stored memory note for load_memory (default: memory/context_memory_snapshot.v1.md) | |
| compressionMode | No | Compression strategy for tool output. aggressive: smallest output, balanced: default, none: keep as much original content as possible. | balanced |
| maxOutputChars | No | Optional hard cap for output size in characters. Helps control token cost in long responses. | |
| quiet | No | If true, suppresses non-error output messages. Default is false. |