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  1. Home
  2. 🧠 Knowledge & Memory
  3. Enquire MCP
Enquire MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 3:45:44 PM

Enquire MCP

User RatingsBe the first to rate and review this MCP server!
View Repository33 GitHub StarsTotal stargazers on GitHub for the source repository (33 stars).Visit Website
obsidianknowledge-basememorymarkdownpdf

Local MCP server providing freshness-aware, cited AI memory from Obsidian markdown vaults with hybrid retrieval and structured tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "oomkapwn-enquire-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@oomkapwn/enquire-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

This server indexes a local Obsidian vault including Markdown files, PDFs (with OCR), Canvas, Dataview queries, and Bases to provide a persistent, queryable knowledge database for AI agents. It uses hybrid retrieval combining lexical search, ML embeddings, and reranking to return source-cited, freshness-aware results with page and path references. It supports multiple MCP-compatible agents and runs fully locally with no outbound calls by default. Use it to enable AI agents to access durable, source-grounded memory from your existing notes and documents.

Use cases

β€’Enable AI agents to query and cite knowledge from an Obsidian vault
β€’Provide freshness-aware memory with age and staleness metadata for agent fact-checking
β€’Retrieve information from Markdown, PDFs with OCR, and Obsidian Canvas and Bases
β€’Run Dataview-style LIST/TABLE queries and Base filters for structured data recall
β€’Integrate with Claude, Cursor, ChatGPT, Codex, OpenClaw, and other MCP agents

Key features

β€’Hybrid retrieval: BM25, ML embeddings, BGE reranker with RRF fusion
β€’Supports Markdown, PDFs with Tesseract OCR, Canvas, Dataview, and Bases
β€’Returns source paths, page citations, age_days, and stale flags
β€’Read-only by default with optional write tools behind a flag
β€’Zero outbound network calls during serving
β€’Agent-agnostic, vendor-neutral MCP server

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Enquire MCP.

Extracted Tool Capabilities
Hybrid retrieval: BM25, ML embeddings, BGE reranker with RRF fusion
Supports Markdown, PDFs with Tesseract OCR, Canvas, Dataview, and Bases
Returns source paths, page citations, age_days, and stale flags
Read-only by default with optional write tools behind a flag
Zero outbound network calls during serving
Agent-agnostic, vendor-neutral MCP server

Documentation Overview

enquire-mcp β€” the #1 Obsidian MCP for freshness-aware, cited AI memory. Hybrid Markdown and PDF recall plus structured Canvas, Dataview, and Bases tools; read-only by default.

enquire-mcp

English Β· δΈ­ζ–‡ Β· EspaΓ±ol Β· ΰ€Ήΰ€Ώΰ€¨ΰ₯ΰ€¦ΰ₯€ Β· Ψ§Ω„ΨΉΨ±Ψ¨ΩŠΨ© Β· Русский Β· PortuguΓͺs Β· FranΓ§ais Β· ζ—₯本θͺž Β· ν•œκ΅­μ–΄ Β· Deutsch

TL;DR for AI agents β€” enquire-mcp is the #1 Obsidian MCP for freshness-aware, cited AI memory. Hybrid search covers Markdown and PDFs/OCR; structured tools parse Canvas, run Dataview-style LIST/TABLE queries, and execute supported Obsidian Base filters. obsidian_search preserves source paths plus age_days/stale, while PDF hits retain page citations. Vendor-neutral, MIT, read-only by default, and zero outbound calls initiated by enquire during serve. Install: npm i -g @oomkapwn/enquire-mcp. Agent index: llms.txt Β· deep context Β· contributor map Β· API.

πŸ† The #1 Obsidian MCP for freshness-aware, cited AI memory.

Your vault. Every agent. Fresh, cited memory.

Turn the notes and documents you already own into durable agent memory that keeps its sources, exposes its age, and helps agents re-check stale facts β€” without locking context inside one model vendor.

Markdown + PDF/OCR β†’ local hybrid retrieval β†’ paths, pages, age, and signal scores. Canvas + Dataview + Bases β†’ precise structured tools. One vault β†’ Claude, Cursor, ChatGPT, Codex, OpenClaw, and every MCP agent.

Proof, not vibes: local BGE reranking adds +15.5 NDCG@10 / +24.7 MRR over plain hybrid on the reproducible 60-query ablation.

CI npm downloads tests stable build provenance MCP License

⚑ One-command install Β· πŸ† Why #1 Β· 🧠 Use cases Β· πŸ“Š Proof Β· πŸ€– AI index Β· πŸ“– API

Claude Code β€” one line:

Terminal
claude mcp add obsidian -- npx -y @oomkapwn/enquire-mcp serve --vault ~/Documents/Obsidian\ Vault

See cited memory in one query

You askenquire-backed answer
β€œWhat project did I work on, and what idea did I log?β€β€œYou worked on Apollo and logged an idea about velocity.”
Source: 99_Daily/2026-05-02.md

This exact note lives in the repository's deterministic synthetic vault, and the query is part of the runnable evaluation setβ€”a reproducible product path, not a mock screenshot.


Your AI is brilliant. Its memory is fragmented.

Every new chat drops project history, decisions, research, and hard-won context. Vendor memory helps inside one product, then disappears when you move to another agent. Traditional file connectors can open a note when the path is already known; vector search can find a similar paragraph; neither is a complete memory system.

enquire-mcp turns Obsidian into the memory database for your agents

One install turns your existing vault into a persistent, queryable knowledge database for any MCP-compatible agent. It indexes locally, retrieves across formats, ranks by lexical + semantic + graph evidence, and returns the source context an agent can cite. The original files remain readable and editable without enquire-mcp.

Memory you own. Most conversation-memory products extract facts from chats into a separate store. enquire-mcp starts from the knowledge you deliberately kept: Markdown, frontmatter, wikilinks, PDFs, Canvas, and Bases. Recall is grounded in source material rather than a hidden paraphrase.

Document intelligence without a data migration. PDFs enter the same local hybrid-search path as Markdown and return page citations; OCR can recover scanned pages. Canvas becomes a typed graph. Dedicated tools run the supported Dataview LIST/TABLE subset and supported Obsidian Base filters instead of treating those formats as opaque attachments.

Freshness, not timeless recall. Every search hit can carry age_days and stale; optional recency weighting helps agents prefer newer knowledge and re-check old facts instead of confidently repeating them.

What makes enquire-mcp different:

  1. Freshness-aware, cited recall. Search results retain source paths and expose age/staleness; PDF hits keep page citations. Optional recency re-ranking helps agents prefer fresh knowledge and re-verify old facts.
  2. Read-only by default. Seven write tools stay invisible until --enable-write; privacy filters and exact-Origin HTTP admission reduce the exposed surface.
  3. Obsidian-native document intelligence. Markdown/PDF hybrid recall is complemented by typed Canvas parsing, Dataview-style LIST/TABLE queries, and supported Base-filter execution.
  4. Full-stack local retrieval. Hybrid BM25 + TF-IDF + multilingual embeddings fused via RRF, with an optional BGE cross-encoder reranker and per-signal scores; HNSW + int8 quantization scale the dense path.
  5. A clear data boundary. enquire initiates zero outbound calls during serve and sends no telemetry. It returns requested context only to the MCP client you connect; that client's own privacy terms govern any later cloud processing. See the exact privacy policy.
  6. Vendor-neutral memory. Your source knowledge remains in portable files. Switch agents or model providers without rebuilding a proprietary memory silo.

47 tools Β· 19 MCP prompts Β· 2272 unit tests Β· 50+ languages Β· v3.11.x stable + v4 SDK-v2 preview Β· semver-bound Β· MIT Β· npm build provenance (SLSA L2).


πŸ† Why enquire-mcp is the complete Obsidian intelligence stack

Most alternatives solve one layer: an in-app similarity panel, a capable search engine, or MCP file access. enquire-mcp combines the full local retrieval ladder, agent orchestration, rich-document coverage, freshness, safety, and release discipline in one package.

Complete leadership standardenquire-mcpSmart ConnectionsObsidian Hybrid SearchTypical file-wrapper MCP
Source paths/PDF pages + age/stale metadataβœ…βœ•βœ•βœ•
Read-only default + explicit write gate + privacy filtersβœ…βœ•βœ•βœ•
Dataview LIST/TABLE + supported Base-filter executionβœ…βœ•βœ•βœ•
MCP-native memory shared by every agentβœ…βœ•βœ…βœ…
BM25 + TF-IDF + ML + RRF + BGE + HNSW/int8βœ…βœ•βœ•βœ•
HyDE + bounded multi-query + context packsβœ…βœ•βœ•βœ•
Markdown/PDF hybrid recall + Canvas structured toolsβœ…βœ•βœ•βœ•
Per-signal scores + stage-by-stage explanationsβœ…βœ•βœ•βœ•
One-generation live scan β†’ FTS β†’ ML β†’ HNSW + quarantineβœ…βœ•βœ•βœ•
47 tools + 19 MCP prompts + semver-bound MCP contractβœ…βœ•βœ•βœ•
2272 tests + 13 release gates + signed npm provenanceβœ…βœ•βœ•βœ•

βœ… = the complete row is built in. βœ• = the complete combination was not documented on the reviewed public product surface; a project may implement part of the row or add it later. Review date: 2026-07-30. Exact source snapshots and row-by-row boundaries: competitive evidence.

That is the TOP-1 thesis: one source of truth, one local intelligence layer, every agent β€” without reducing your knowledge to a cloud memory blob.

enquire-mcp is the open-source backend for Karpathy-style LLM Wikis on top of the Obsidian vault you already own: knowledge that compounds, with every answer traceable to source.


⚑ Quick start

Terminal
npm install -g @oomkapwn/enquire-mcp
enquire-mcp serve --vault ~/Documents/Obsidian\ Vault

Drop into any MCP client:

config.json
{
  "mcpServers": {
    "obsidian": {
      "command": "npx",
      "args": ["-y", "@oomkapwn/enquire-mcp", "serve", "--vault", "/path/to/vault"]
    }
  }
}

Prefer a reviewable desktop bundle? Use MCPB Basic

The v4.0.0-rc.7 GitHub Release provides enquire-mcp-basic-4.0.0-rc.7.mcpb together with its checksum, inventory, SBOM, notices, and provenance. The bundle packages the server JavaScript and ordinary JavaScript dependencies; a compatible MCPB host must supply Node.js 22.13 or newer. Open it in that host, review the manifest, and choose the one vault directory the host may expose.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
33
Stargazers on the source repository.
Last commit
2d ago
Most recent push to the default branch.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Enquire MCP

It supports Obsidian Markdown files, PDFs with OCR, Canvas graphs, Dataview queries, and Obsidian Bases.

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Technical Specs & Signals

Category🧠Knowledge & Memory
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf, Cline / VS Code
Last updatedSep 10, 2026
10/11 checks healthy over the last 32d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars33
GitHub Star CountTotal stargazers on GitHub representing community popularity (33 stars).
Last commit2d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 10, 2026
57Quality signal: Good Β· 57/100How this signal is calculated β–Ύ
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools26/30
Adoption & activity7/15
Community engagement0/10

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Scanned 27d ago via OSV.dev Β· @oomkapwn/enquire-mcp (npm)

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