Neuro Vault MCP
Integrates with Obsidian to provide semantic search and vault operations for your notes, allowing AI agents to find, read, write, and manage notes in your Obsidian vault.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Neuro Vault MCPfind notes about LangGraph experiment"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Neuro Vault MCP
๐ง ๐พ Make your personal vault usable by agents. Low-token retrieval, explicit provenance, and safe writes for your Obsidian notes โ in Claude Code, Cursor, Windsurf, and any MCP client.
https://github.com/user-attachments/assets/25c1bafb-7b90-43ac-aa50-50e85705fb5b
Your second brain stops being a folder you open between contexts and becomes a first-class participant in every project. Agents can recall the right notes, inspect the evidence, and write back through vault-aware operations โ without grepping the whole folder or flooding the context window.
"What did I write about that idea last month?" โ and now your assistant can actually answer.
โจ Why Neuro Vault?
๐ง Hybrid search that already knows your vault โ a semantic leg reuses Smart Connections embeddings (no re-indexing, no API keys), and a lexical leg catches exact names, codes, and terms embeddings miss. One call, both answers; a note hit by both is the strongest relevance signal.
๐ฏ Quick or deep, your call โ
effort: "quick"for fast direct lookups,effort: "deep"for exploration with related-note expansion;mode: "lexical"when you want exact text matching only (works even without embeddings).๐งพ Context with provenance, not mystery memory โ results come back with paths, matched queries, block-level snippets, and backlink counts so the assistant can show where an answer came from.
๐งญ A real navigation toolkit for your agent โ instead of grepping files and opening notes one by one, your assistant walks the vault like a database: filter by tags and properties, batch-read metadata, traverse the wikilink graph, discover the structure, jump to semantic neighbours.
๐ Ask structured questions in plain language โ "active projects tagged #ai", "todo tasks with a deadline this week", "meeting notes from
Work/newest first" โ one call, ranked answer, no chains of reads.โ๏ธ Full write surface for your notes โ create, in-place replace, or rewrite the whole body; manage frontmatter, tags, and daily notes. Frontmatter and creation route through the Obsidian CLI so Smart Connections, sync, and other plugins stay in the loop; in-place edits write directly to disk and the watcher catches up.
โก Zero infrastructure โ local stdio MCP server, in-memory index, no database, no background processes, no watchers.
๐ Drop-in for any MCP client โ Claude Code, Cursor, Windsurf โ configuration is a single JSON block.
Related MCP server: research-memory-mcp
๐งฐ Two superpowers, one server
Most "vault MCP" servers give you one or the other. Neuro Vault gives you both, and lets your assistant pick the right one per question:
๐ญ Hybrid recall | ๐ Vault operations | |
What it does | Finds notes by meaning and by exact wording โ semantic + lexical legs in one response. Surfaces neighbours and duplicates. | Reads, writes, edits notes (in-place replace and full-body rewrite); manages frontmatter, tags, daily notes. |
Best for | "What did I think about X?", fuzzy recall, exploratory research โ and exact names, codes, terms the embeddings don't know. | Structured queries, capturing decisions, updating tasks, batch reads. |
Powered by | Smart Connections embeddings (already in your vault) + direct text matching over titles, headings, and bodies (no index needed). | The official Obsidian CLI โ Smart Connections, sync, plugins all stay in sync. |
The two work together: hybrid search finds the right region of the vault, vault operations let the assistant actually do something with what it found.
โจ What it looks like in practice
Before: "Could you check my notes about that LangGraph experiment?"
โ Assistant lists Notes/, opens 12 files, greps for "LangGraph", gives up halfway, you paste the relevant note manually.
After: "Could you check my notes about that LangGraph experiment?" โ One hybrid search โ semantic matches plus exact "LangGraph" hits in the same response โ follow-up question already grounded in your own writing.
A few more questions Neuro Vault makes one-shot:
"What are my active projects tagged #ai with a deadline this quarter?" "Show meeting notes from
Work/from the last two weeks, newest first." "Find notes similar to this one I'm reading." "Append today's decision to the daily note." "What's on my agenda today โ and what did I capture in other notes since this morning?" "What did past-me write about retrieval policy before I started building it?"
One question, one answer. Your assistant stops being a file browser and starts being an actual second brain.
โ See docs/guide/finding-notes.md for the full query language and examples.
๐ Pre-filter: scope search with structural filters
search_notes accepts an optional filter to narrow the candidate set before ranking โ combining the precision of query_notes with the recall of hybrid search. The filter applies identically to both legs: only notes that pass it can appear in semantic_matches or lexical_matches. Useful when domain-relevant notes are crowded out by larger narrative clusters.
{ "query": "trading lessons", "filter": { "tags": ["trading"] } }filter accepts path_prefix (string or array), exclude_path_prefix (string or array โ drops matched subtrees), tags (ANY-of), and a frontmatter sift filter. Composition is include โ exclude โ tags โ frontmatter, then each leg ranks within the allowed set (threshold further cuts the semantic leg only). See the Finding Notes guide for full details.
๐ How it works
flowchart LR
You([You]) --> AI[AI assistant]
AI <-->|MCP| NV[Neuro Vault]
NV <--> Vault[(Obsidian vault)]You ask, the assistant calls Neuro Vault, Neuro Vault reads your vault โ the semantic leg uses embeddings already in .smart-env/, the lexical leg reads notes straight from disk, vault operations go through the obsidian CLI. No database, no background processes.
For module wiring and internal data flow, see docs/architecture/module-structure.md.
โก Quickstart
npm install -g neuro-vault-mcpSingle vault
Add to your MCP client config (here: Claude Code's ~/.claude/settings.json):
{
"mcpServers": {
"neuro-vault": {
"command": "neuro-vault-mcp",
"args": ["--vault", "/absolute/path/to/your/vault"]
}
}
}Vault directory names must match
^[a-zA-Z0-9_-]{1,64}$โ ASCII letters, digits,_, or-; 1โ64 chars. Spaces and Unicode are rejected. The MCP-side alias is the directory basename, so if Obsidian shows the vault as "My Vault", the directory itself must beMy_Vaultor similar.
๐ Multi-vault โ two vaults, one server
Pass --vault once per vault:
neuro-vault-mcp \
--vault /Users/me/Vaults/Sandbox \
--vault /Users/me/Vaults/TeamWikiTwo vaults registered, with names Sandbox and TeamWiki. In your MCP config:
{
"mcpServers": {
"neuro-vault": {
"command": "neuro-vault-mcp",
"args": ["--vault", "/Users/me/Vaults/Sandbox", "--vault", "/Users/me/Vaults/TeamWiki"]
}
}
}Two vaults cannot share the same directory basename โ the basename doubles as the alias and must be unique. If you have a basename collision, rename one of the directories.
With multiple vaults registered:
Every tool accepts an optional
vault: "<name>"parameter to target a specific vault.search_notes,query_notes,get_vault_overview,list_tags, andlist_propertiesfan out across all registered vaults whenvaultis omitted. The response shape switches toresults_by_vault: [...](one entry per vault) plusskipped_vaults: [...]for any vault the tool could not reach andfailed_vaults: [...]for per-vault runtime errors ({ vault, error: { code, message, details? } }). A single failed vault does not abort the whole call.All other tools (writes, reads of specific paths, single-vault diagnostics) require an explicit
vaultin multi-vault mode. Omitting it returnsVAULT_REQUIRED.A vault without a Smart Connections
.smart-env/multi/index still participates insearch_notesfan-out โ it contributeslexical_matcheswith an emptysemantic_matches; no vault is skipped. Targeting such a vault explicitly with the embeddings-only tools (get_similar_notes,find_duplicates) returnsSEMANTIC_INDEX_NOT_FOUND.
Then ask your assistant:
"What did I write about building AI agents?"
On first run the embedding model downloads automatically (~40 MB). Subsequent starts are fast.
For other clients (Cursor / Windsurf / npx), see docs/guide/installation.md.
๐ Documentation
Every tool accepts an optional
vaultparameter. In multi-vault mode,search_notes,query_notes, andget_vault_overviewfan out across all registered vaults whenvaultis omitted.
User guide lives in docs/guide/:
Finding Notes โ
search_notes(hybrid semantic + lexical), structured queries (query_notes),get_similar_notes,find_duplicates,get_note_linksReading & Modifying โ note CRUD, daily notes, properties, tags, vault snapshot (
get_vault_overview)Configuration โ CLI args, troubleshooting, limitations, development
Architecture / internals: docs/architecture/.
Vault-specific conventions for external agents
When the server starts, it looks for <vault>/.neuro-vault/for-external-agents.md. If the file exists, its content is appended to the MCP instructions that clients receive at initialize, under a ## Vault-specific conventions section. Use this file to teach external agents vault-specific rules that cannot be derived from the snapshot โ for example, closed sets of frontmatter type values, or folders that are off-limits for writes. The file is optional; without it the server still ships sane defaults plus a pointer to get_vault_overview.
๐ License
ISC โ see LICENSE.
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