DocsAgent — Zotero, Obsidian & Apple Notes MCP Server MCP Server
io.github.docsagent/docsagent
Instant, private access to your Zotero, Obsidian, and Apple Notes knowledge base for AI agents.
What is the DocsAgent — Zotero, Obsidian & Apple Notes MCP Server MCP server?
DocsAgent is an MCP server that gives AI agents instant, private access to your personal knowledge base stored in Zotero, Obsidian, and Apple Notes (macOS). It uses a native C++ search engine with BM25 full-text indexing and passage ranking to deliver millisecond-speed retrieval across 1,000+ PDFs, keeping all data local and private.
DocsAgent lets Claude, Cursor, Cline, and other MCP clients search, read, and write your Zotero library, Obsidian vault, and Apple Notes through a resident C++ search engine. It indexes your documents locally with BM25 full-text search and passage ranking, enabling RAG-ready knowledge-base queries at ~15 ms latency. The server supports mixed search across all three sources, write operations with safety gates, and both stdio (local) and HTTP (remote) transports.
How to install DocsAgent — Zotero, Obsidian & Apple Notes MCP Server
Copy-paste configuration for popular MCP clients.
DOCSAGENT_CONFIGPath to the shared docsagent config file (default: ~/.docsagent/config.json)
Tools & capabilities
Tools this server exposes to the agent.
list_sources— List every searchable source (Zotero, Obsidian, Apple Notes) with capabilities, supported targets, browse modes, filters, and document counts.search— Cross-entry full-text search over one source or all sources combined. Supports BM25 relevance ranking or literal grep mode, with filters by tags, year, item type, authors, and more.get_content— Read one entry in full or as query-ranked passages. Returns body text with optional offset pagination.get_metadata— Fetch metadata, abstract, annotations, notes, and citations (BibTeX, CSL JSON, or formatted) for an item.list_library— Browse sources by collections, items, tags, saved searches, or standalone notes with drill-down support.import_item— Import local PDFs or resolve DOI/ISBN/arXiv IDs via Zotero translation server; optional auto-classification into collections.add_note— Add a Markdown child note to a Zotero item (converted to HTML) with orphan verification and rollback.batch_modify— Bulk add/remove items from collections or add/remove tags on up to 200 items in batches of 50.
Use cases
- Search your entire Zotero library, Obsidian vault, and Apple Notes simultaneously to find relevant papers, notes, and annotations in milliseconds.
- Import PDFs or resolve academic identifiers (DOI, ISBN, arXiv) directly into Zotero from Claude or Cursor.
- Add research notes and tags to Zotero items programmatically while working with an AI agent.
- Retrieve full-text passages or metadata (citations, abstracts, annotations) from your knowledge base to feed into RAG pipelines.
- Perform literal pattern matching (grep) across your notes and PDFs without tokenization or ranking.
DocsAgent — Zotero, Obsidian & Apple Notes MCP Server MCP server FAQ
DocsAgent is an MCP server that connects AI agents to your personal knowledge base (Zotero, Obsidian, Apple Notes) with a fast, local C++ search engine. It indexes your documents with BM25 full-text search and delivers results in ~15 ms, keeping everything private on your machine.
Yes. DocsAgent is open-source under the Apache-2.0 license. The npm package (@docsagent/docsagent) and Python package (docsagent-mcp) are free to install and use.
Install via npm (npx @docsagent/docsagent) or Python (pip install ./python), then add the server to your MCP client's config under mcpServers with the command and args. The core starts automatically on first use.
No authentication is required for local use. The core runs on your machine and reads your Zotero, Obsidian, and Apple Notes data directly. For remote HTTP deployment, optional API-key or OAuth 2.0 authentication is available.
Yes, if you enable writes in config (enableWrites=true). Three write tools are available: import_item (add PDFs or resolve identifiers), add_note (add child notes to items), and batch_modify (bulk tag/collection changes). Writes are gated by confirmation and rate limits.
Yes. DocsAgent runs on macOS (Intel and Apple Silicon), Windows x64, and Linux x64. Apple Notes is macOS-only; Zotero and Obsidian work on all platforms.
README (reference)
Source of truth, from the repository.
DocsAgent MCP — Zotero, Obsidian & Apple Notes for AI agents 📚⚡
DocsAgent gives AI agents instant, private access to your personal knowledge base.
docsagent is the spec-driven MCP (Model Context Protocol) server that lets
any AI agent — Claude Desktop, Cursor, Cline, Qwen Code, or any MCP client — search, read, and
write your Zotero library, Obsidian vault, and Apple Notes (macOS) through a resident
C++ search engine. BM25 full-text search + query-ranked passage retrieval over 1,000+ PDFs
at ~15 ms, fully local (RAG-ready knowledge base).
- 🔒 Local-first & private — the engine reads your Zotero library, Obsidian vault, and Apple Notes store directly on your machine. Your notes and PDFs never leave it.
- 🗂 Three sources, one query — Zotero items/annotations/notes, Obsidian vaults, and Apple Notes (macOS only); mixed search fuses all three by reciprocal rank.
- ⚡ Native C++ search core — inverted-index BM25 + passage ranking, millisecond lookup, low memory footprint (160–227 MB for a 1,500-paper library).
- 🧩 8 MCP tools — 5 read + 3 write, with JSON-schema validated arguments, token budgets, result dedup, and a three-layer write safety gate.
- 🌐 Two transports — stdio for local MCP clients, Streamable HTTP for remote deployment
(origin checks, API-key / OAuth 2.0 token introspection, per-request RBAC,
/healthprobe). - 🐍 Two shells, one core — this TypeScript package and a feature-equal Python wrapper ship the same tools over the same JSON-RPC contract.
Architecture
MCP Client (Claude Desktop / Cursor / Cline / Qwen Code / any MCP host)
│ stdio (local) or Streamable HTTP /mcp (remote)
▼
MCP shell ← this package (@docsagent/mcp-zotero / docsagent-mcp-zotero)
· tool schemas (spec-driven), argument validation, token budget, dedup
· write orchestration via the Zotero local API, write safety gate, RBAC
· group-library sync via the Zotero Web API
│ JSON-RPC 2.0 over HTTP ({coreHost}:{httpPort}/rpc, cpp-httplib)
▼
DocsAgent Core (resident C++ engine)
· reads ~/Zotero/zotero.sqlite + storage/, an Obsidian vault, and (macOS) the
Apple Notes store — directly on your machine
· builds & serves one index per source (BM25 + passage ranking); mixed search
(source "all") fuses them by reciprocal rank (RRF, k=60)
The shell never spawns the core during tool calls and never touches your source files. The core runs as a background service and stays available across MCP client restarts. Tool schemas and error codes: spec/.
Quick Start
1. Start the core
npx @docsagent/docsagent start # spawn the bundled core for your platform
npx @docsagent/docsagent status # pid / endpoint / version
Python shell (same verbs, under the core subcommand):
pip install ./python # build the wheel locally (PyPI upload pending)
docsagent-mcp core start
(core stop / core restart also available. The core indexes every configured source — your
Zotero data directory, your Obsidian vault, and (macOS) Apple Notes — and serves JSON-RPC on
http://0.0.0.0:23120/rpc.)
2. Configure your MCP client
Claude Desktop / Cursor / Cline / Qwen Code (mcpServers):
{
"mcpServers": {
"docsagent": {
"command": "npx",
"args": ["-y", "@docsagent/docsagent"]
}
}
}
Python shell (same tools, same contract, installed from this repo) — mcpServers:
{
"mcpServers": {
"docsagent-zotero-py": {
"command": "docsagent-mcp"
}
}
}
Install the Python package first (step 1) so docsagent-mcp is on your PATH.
On startup the shell connects to the core, loads sources, and checks index status. If the core is not running it fails fast with startup instructions — it never spawns anything.
MCP Tools (external API)
8 tools, 5 read + 3 write. Schemas are the single-sourced contract in
spec/tools/*.json (mirrored into both packages); arguments are validated
before handlers run and failures map to typed docsagent error codes.
list_sources
Every searchable source with capabilities, supported targets/includes/browse modes, filters, and document counts. Call this first.
Sources today: zotero (targets items, annotations, notes; collections/tags browse),
obsidian (a vault — notes as items, folders/tags browse), and apple-notes (macOS only —
the engine omits the source on other platforms). The vault is found at
~/Documents/Obsidian Vault (override with DOCSAGENT_OBSIDIAN_VAULT); Apple Notes is read
from the system Notes store (override with DOCSAGENT_APPLE_NOTES_DB).
search
Cross-entry search over one source (items, annotations, and notes).
| Parameter | Type | Notes |
|---|---|---|
query | string | plain keywords or phrases; required unless mode=grep |
mode | relevance | grep | BM25 relevance by default; grep scans for a literal pattern without tokenization or ranking |
pattern | string, required when mode=grep | literal string to scan for |
caseSensitive, wholeWord, maxMatches | mode=grep only: ASCII case folding, [A-Za-z0-9_] word boundaries, hit cap total | |
target | "items" | "annotations" | "notes" or array | default items |
depth | ids | snippets | full | snippets by default (BM25-ranked passages) |
filters | object | tags, yearFrom/yearTo, itemType, authors, colors, containerId, titleContains |
k, snippetsPerResult, max_tokens | numbers | ranking depth and token budget (mode=grep: max documents, max hit windows per document) |
Returns results[] with global ids (zotero:KEY, obsidian:<path>, apple-notes:<uuid>),
titles, relevance, snippets; multi-target
searches group by target. In mode=grep each result carries matchCount and snippets[]
hit windows (hits[] with line/column/offset, and meta hits tagged with field),
relevance is 0, and the response adds totalMatches. Results are deduped (id, then
normalized title + year) and packed under a token budget.
search runs against config.defaultSource (default zotero). Mixed search is a core
capability: pass source: "all" to the core's search / grep methods and every source is
ranked independently, then fused with reciprocal rank fusion (k=60) — each hit is tagged
with its source. BM25 scores are not comparable across corpora, so fusion is rank-based.
get_content
Read one entry. mode=passages (query-ranked passages, k) or mode=fulltext
(offset pagination with nextOffset). Notes return their body with tags and metadata.
get_metadata
include: metadata, abstract, annotations, notes, citation (bibtex / csljson /
formatted via citationFormat/citationStyle). Notes are packed under the token budget.
list_library
Browse modes: collections (drill-down via parentId), items (by containerId),
tags, saved_searches, standalone_notes. Browse modes are per source — Zotero exposes
all of these, while Obsidian and Apple Notes expose folders (drill-down) / tags / items.
Write tools (three-layer safety gate)
| Tool | What it does | Key arguments |
|---|---|---|
import_item | Import local PDFs or resolve DOI / ISBN / arXiv IDs (via the Zotero translation server); optional autoClassify suggests collections | paths | identifiers, containerId, autoClassify, confirmed |
add_note | Add a Markdown child note to an item (converted to Zotero note HTML), with orphan verification and rollback | id, content, tags, confirmed |
batch_modify | Bulk add_to_collection / remove_from_collection / add_tags / remove_tags on up to 200 items in batches of 50 | action, ids, containerId, tags, confirmed |
Write tools target Zotero sources only — the Obsidian and Apple Notes sources are read-only.
Write safety gate (spec/algorithms/write-gate.md): layer 1 write tools are not
registered unless enableWrites=true; layer 2 confirmed=false returns a preview and
consumes no rate-limit quota; layer 3 confirmed writes consume a per-hour rate limit
(default 30/h). Anything above 20 items in batch_modify additionally reports
requiresConfirmation in the preview.
Engine performance
The C++ engine powers PapersGPT — the same index and retrieval stack ships in this MCP server. Benchmark on a real Zotero installation (full write-up):
| Metric | Mac (Intel i9) | Windows VM (4C8G) |
|---|---|---|
| Library size | 1,506 PDFs (4.5 GB on disk) | 500+ PDFs |
| Index build time | 141 s | a few seconds |
| Memory (agent process) | 227 MB | 160 MB |
| Average retrieval latency | ~15 ms | ~15 ms |
- Indexing cost scales roughly linearly with library size; retrieval latency stays constant — a 10,000-paper library (~30 GB) indexes in about 15–20 minutes, and everyday search stays at ~15 ms.
- For comparison: a typical web page load takes 1,000–3,000 ms; a blink of an eye is 100–150 ms. PapersGPT answers in ~15 ms, fully offline.
- Privacy: your library never leaves your machine.
Configuration
Config lives at ~/.docsagent/config.json (or $DOCSAGENT_CONFIG) — one file shared by
the JS shell, the Python wrapper, and the C++ core. Validated against
spec/config.json.
| Key | Default | Description |
|---|---|---|
coreHost | 0.0.0.0 | Address the core binds and the shell dials |
httpPort | 23120 | Core HTTP port (POST /rpc) |
coreBinary | "" | Optional explicit path to the core binary |
zoteroDataDir | ~/Zotero | Zotero data directory |
zoteroApiUrl | http://localhost:23119/api | Zotero local API (write orchestration) |
zoteroGroups | [] | Group libraries to sync from zotero.org |
enableWrites | false | Register the three write tools |
writeRateLimitPerHour | 30 | Confirmed-write rate limit |
maxTokensPerTool | 4000 | Token budget per tool result |
defaultSource | zotero | Source the shell searches and resolves id prefixes in (zotero, obsidian, apple-notes) |
transport | stdio | stdio or streamable-http |
httpListenAddr | 0.0.0.0:8080 | Listen address for streamable-http (/mcp) |
authMode / authConfig | none | api-key or oauth2 (RFC 7662) + allowedOrigins |
rbacRoles | {} | role → allowed tool names (per-request RBAC on HTTP) |
logLevel | info | debug / info / warn / error |
Distribution
| Channel | Package | Bundled core | Size |
|---|---|---|---|
| npm (JS/TS shell) | @docsagent/docsagent | all platforms in bin/ | ~70 MB tarball |
| PyPI (Python shell) | docsagent-mcp (pip install ./python) | same binaries in the wheel | ~65 MB wheel |
Bundled core platforms: macOS universal (Intel + Apple Silicon), Windows x64
(x86_64), Linux x64 (x86_64) — Linux ARM is not supported. Source availability:
Zotero and Obsidian work on every platform; Apple Notes is macOS-only (list_sources
omits it elsewhere).
Both shells read the same config and talk to the same core — pick either (or both) as
your MCP distribution channel. Core lifecycle (start / stop / restart / status)
is available from both CLIs.
Links
- spec/ — the single-sourced contract: 8 tool schemas, 23 JSON-RPC methods, error codes + suggested calls, config schema
- PapersGPT search performance benchmark
- Zotero · Model Context Protocol
License
Apache-2.0
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