Obsidian Everywhere
Provides graph-native tools for reading, searching, and writing notes in an Obsidian vault, including backlink traversal, neighborhood exploration, and full-text search.
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., "@Obsidian Everywheresearch notes about machine learning"
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.
๐ง Obsidian Everywhere
Your Obsidian vault, as a graph, in every Claude client.
Local Claude Code ยท Claude Desktop ยท a remote box over Tailscale ยท claude.ai web & mobile โ one server, every surface.
This is a graph server, not a markdown file server. Claude shouldn't see
your vault as "a folder of .md files" โ it should see notes and links as a
graph: backlink traversal, n-hop neighborhoods, and topic-centered context
bundles are first-class tools, not an afterthought bolted onto a file
reader. Unresolved links stay in the graph (that's a real signal about your
vault, same as it is in Obsidian itself), and every response is structured
for what an LLM actually needs โ explicit link relationships, not just raw
text.
Contents
Related MCP server: Obsidian MCP Server
Features
vault (.md files)
โ parse ยท watch
โผ
SQLite index (FTS5) โ in-memory graph (graphology)
โ n-hop ยท shortest path ยท PageRank
โผ
14 MCP tools
โ
โผ
stdio ยท bearer-token HTTP ยท OAuth HTTP๐งฉ Real graph engine โ a markdown parser (wikilinks, embeds, frontmatter, nested tags, headings, block references), a SQLite index with full-text search, and an in-memory graphology layer for n-hop traversal, shortest paths, and PageRank โ kept in sync incrementally as files change, never rebuilt from scratch.
๐ ๏ธ 14 graph-native MCP tools โ 12 read-only, 2 write.
๐ Three ways to connect โ stdio for local Claude clients, Streamable HTTP with a static bearer token for a remote Claude Code over Tailscale, and Streamable HTTP with OAuth 2.1 (PKCE + Dynamic Client Registration) for the claude.ai custom connector.
Read
Tool | What it does |
| Note counts, top tags, PageRank hub notes, recently modified โ a starting orientation |
| Full-text search with tag/folder filters, each result annotated with link counts and tags |
| Full note + graph context header (outlinks/backlinks/tags/frontmatter); optional heading-scoped read |
| Every note linking to a given note, with the linking sentence |
| Explicit n-hop node/edge list around a note (links treated as undirected) |
| The killer feature. Center note + prioritized 1-hop neighbors packed into a token budget |
| Full nested tag hierarchy with counts |
| Notes carrying a given tag (nested-aware) |
| Notes with no incoming or outgoing links |
| Links that don't resolve to any note, grouped by target |
| Shortest connection path between two notes, with a one-line summary per hop |
| Similar notes that aren't directly linked yet (Jaccard similarity over shared tags/neighbors) |
Write
Tool | What it does |
| Create a new note (with frontmatter); reindexed immediately โ the next tool call already sees it |
| Append to a note, optionally under a specific heading; fails closed if the heading isn't found |
create_note/append_to_note are on by default for stdio and the
bearer-token HTTP transport, and off by default for the public OAuth
connector transport (opt in with OAUTH_ENABLE_WRITE_TOOLS=true) โ see
Configuration and DECISIONS.md D15.
See docs/architecture.md for how it's built and
docs/deploy.md for the full deployment topology
(LaunchAgent, Docker, Cloudflare Tunnel).
Where does this actually run?
The obsidian-everywhere process needs direct filesystem access to your
vault's .md files (to parse them, watch for changes, etc.) โ so it
must always run on the machine where your vault physically lives
("the vault machine": your laptop, most likely). It does not matter where
you're typing claude from โ the server always runs on the vault
machine; only the client connection method changes.
Where you run | What you need |
The same machine as the vault | stdio. Nothing else โ Claude Code/Desktop spawns the server directly. |
A different machine you control (a lab/work server, another laptop, an SSH box) | Bearer-token HTTP + a private network between the two machines (we recommend Tailscale โ free, five-minute setup, works across NAT/firewalls without port forwarding). |
claude.ai (web app or mobile app) | OAuth HTTP + a public HTTPS URL (via Cloudflare Tunnel). claude.ai runs in Anthropic's cloud, not your network, so it can't reach Tailscale or |
You can run more than one of these at once (e.g. stdio on your laptop and bearer-token HTTP for your work server) โ they're independent processes that all index the same vault.
Quickstart
Run this on the vault machine (wherever your .md files live):
git clone https://github.com/junnnnnw00/obsidian-everywhere.git
cd obsidian-everywhere
npm install
npm run buildOption A โ Claude Code, same machine as the vault (stdio)
Still on the vault machine:
claude mcp add obsidian-everywhere -- node "$(pwd)/dist/cli.js" /path/to/your/vaultOr with environment variables instead of a positional arg:
OBSIDIAN_VAULT_PATH=/path/to/your/vault claude mcp add obsidian-everywhere -- node "$(pwd)/dist/cli.js"Option Aโฒ โ Claude Desktop, same machine as the vault
Add to claude_desktop_config.json on the vault machine:
{
"mcpServers": {
"obsidian-everywhere": {
"command": "node",
"args": ["/absolute/path/to/obsidian-everywhere/dist/cli.js", "/absolute/path/to/your/vault"]
}
}
}Option Aโณ โ Google Antigravity CLI (agy)
Add to your global Antigravity MCP configuration file (~/.gemini/config/mcp_config.json):
{
"mcpServers": {
"obsidian-everywhere": {
"command": "node",
"args": ["/absolute/path/to/obsidian-everywhere/dist/cli.js", "/absolute/path/to/your/vault"]
}
}
}Option B โ Claude Code on a different machine (a lab/work server, etc.)
Step 1 โ set up a private network between the two machines, if you don't have one already. Easiest option is Tailscale:
# on BOTH the vault machine and the machine you'll run `claude` from
curl -fsSL https://tailscale.com/install.sh | sh # or: brew install tailscale (macOS)
tailscale up # opens a browser to log in / join your "tailnet"
tailscale status # confirm both machines can see each otherNote the vault machine's Tailscale hostname/IP from tailscale status
(something like my-macbook.tailnet-name.ts.net or 100.x.y.z).
Step 2 โ start the server, on the vault machine:
OBSIDIAN_VAULT_PATH=/path/to/vault OBSIDIAN_EVERYWHERE_TOKEN=$(openssl rand -hex 32) \
node dist/http-cli.jsKeep this token โ you'll need it in step 3. (To keep this running
persistently instead of in a foreground terminal, see the LaunchAgent
setup in docs/deploy.md,
or run it in Docker via docker-compose.yml if the vault machine is a server.)
Step 3 โ connect from the other machine (the lab server, etc. โ
wherever you actually type claude), using the vault machine's Tailscale
address from step 1:
claude mcp add --transport http obsidian-everywhere \
http://<vault-machine-tailscale-name>:3737/mcp \
--header "Authorization: Bearer <the token from step 2>"That's it โ claude on the second machine now has full access to the
vault indexed on the first. Full walkthrough (Docker, LaunchAgent):
docs/deploy.md.
Option C โ claude.ai web/mobile app (custom connector, OAuth)
This needs a public HTTPS endpoint โ claude.ai's servers can't reach your
Tailscale network or localhost. See
docs/deploy.md
for the full Cloudflare Tunnel walkthrough (including the no-domain-needed
Quick Tunnel option for testing). Once your server is reachable at
https://your-domain:
claude.ai โ Settings โ Connectors โ Add custom connector
Server URL:
https://your-domain/mcpclaude.ai auto-discovers the OAuth flow and shows this server's sign-in page โ enter the
OAUTH_LOGIN_SECRETyou configured.
You only need this if you actually want claude.ai's web/mobile apps to read your vault. If you only ever use Claude Code (locally or from another machine), skip this entirely โ Option A/B already fully covers that with no Cloudflare/OAuth involved.
Configuration
Env var | Used by | Meaning |
| all | Vault path (or pass as a positional CLI arg) |
| all | SQLite index path (default: |
|
| Static bearer token |
|
| HTTP port (defaults 3737 / 3738) |
|
| Public HTTPS origin (e.g. your Cloudflare Tunnel hostname) |
|
| Single-user login secret |
|
| Set to |
|
| Set to |
Development
npm run dev:stdio # tsx, no build step
npm run dev:http
npm run dev:oauth-http
npm test # vitest, runs against fixtures/test-vault
npm run typecheck
npm run lint
npm run format:checkfixtures/test-vault/ is a 30+ note fixture vault exercising every link
and parsing edge case the parser needs to handle (piped aliases, heading
and block links, embeds, frontmatter-embedded wikilinks, nested tags,
duplicate filenames across folders, unresolved links, code-block
exclusion, and Korean filenames/tags/wikilinks). It's what every test in
src/**/*.test.ts runs against.
Project status
v0.1, feature-complete: full graph engine, all three transports (stdio,
bearer-token HTTP, OAuth HTTP), 14 MCP tools including write tools. A few
things need a human to finish (registering the claude.ai connector, an
actual Cloudflare Tunnel account) since they require a browser/account โ
see docs/deploy.md. Tested against both the fixture vault and a real
58-note personal vault with Korean content.
Contributing
Bug reports, feature requests, and PRs are welcome โ see
CONTRIBUTING.md for dev setup, testing conventions,
and how the fixture vault relates to the test suite. Security issues:
please see SECURITY.md rather than opening a public issue.
License
MIT โ see LICENSE.
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