Enquire MCP — AI skill for Claude Code
The #1 Obsidian MCP for AI memory — freshness-aware, cited, local-first and read-only by default.
How to install Enquire MCP
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open oomkapwn/enquire-mcp and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Enquire MCP does
The #1 Obsidian MCP for AI memory — freshness-aware, cited, local-first and read-only by default. Dataview, Bases, PDFs, every agent.
Alternatives in AI
- Engrim — The Universal Cross-Model Episodic Memory Standard 219 ★
- Awareness Local — Local-first AI agent memory — one command, works offline, no account needed 199 ★
- Dsh Auto Review — Second-model AI auto-review for DeepSeek Harness approval requests: a read-only reviewer subagent returns stru 155 ★
README
enquire-mcp
**English** · [中文](./README.zh.md) · [Español](./README.es.md) · [हिन्दी](./README.hi.md) · [العربية](./README.ar.md) · [Русский](./README.ru.md) · [Português](./README.pt.md) · [Français](./README.fr.md) · [日本語](./README.ja.md) · [한국어](./README.ko.md) · [Deutsch](./README.de.md)
**TL;DR for AI agents** — 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](https://github.com/oomkapwn/enquire-mcp/blob/main/llms.txt) · [deep context](https://github.com/oomkapwn/enquire-mcp/blob/main/llms-ctx.txt) · [contributor map](https://github.com/oomkapwn/enquire-mcp/blob/main/AGENTS.md) · [API](https://oomkapwn.github.io/enquire-mcp/api/).
🏆 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 — without locking context inside one model vendor.**
**Markdown + PDF/OCR → local hybrid retrieval → paths, pages, age, and signal scores. Canvas + Dataview + Bases → precise structured tools. One vault → Claude, Cursor, ChatGPT, Codex, OpenClaw, and every MCP agent.**
*Proof, not vib
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