
DocsAgent — Zotero, Obsidian & Apple Notes MCP Server
io.github.docsagent由 GitHub 账号 docsagent 发布v5.0.1更新于 Nov 3, 2026
Instant, private access to your knowledge base: Zotero, Obsidian, Apple Notes (macOS).
概览
本地 MCP 服务器,让 AI 助手私密地搜索和阅读 Zotero 文库、Obsidian 库与 Apple Notes,并可对 Zotero 做有限写入。
- 可以做什么
- 列出可搜索来源及其能力、目标类型与文档数量
- 搜索与 grep Zotero 条目、批注和笔记、Obsidian 笔记及 Apple Notes,支持标签、年份、作者、类型过滤,或按排名融合全部来源
- 按排序段落或分页全文读取条目,并获取元数据、摘要、批注、笔记及 BibTeX/CSL-JSON 引用
- 浏览合集、文件夹、标签、保存的搜索和独立笔记
- 导入 PDF 或解析 DOI/ISBN/arXiv 标识符、添加子笔记、批量增删合集与标签(仅 Zotero,需开启写入)
- 适用场景
- 适合让助手基于自己的论文、批注和笔记回答问题而不上传任何内容,例如文献综述、引用查询,或同时在 Zotero 文库与 Obsidian 库中查找某段文字。
- 运行要求
- 通过 npx 或 uvx 以 stdio 本地运行,并需单独启动随包附带的原生核心(start/status 命令)。需要 Zotero 数据目录、Obsidian 库路径,macOS 上还需 Apple Notes 数据库;路径与选项写在 ~/.docsagent/config.json 或 DOCSAGENT_CONFIG 指定的共享配置文件中。Zotero 写入需本地 Zotero API 运行。仅支持 macOS、Windows x64 与 Linux x64,不支持 Linux ARM。
安装
在 SourceWeft 中
- 打开 控制台中的 DocsAgent — Zotero, Obsidian & Apple Notes MCP Server,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
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
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
Python shell (same verbs, under the core subcommand):
(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):
Python shell (same tools, same contract, installed from this repo) — mcpServers:
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).
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)
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):
- 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.
Distribution
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
来源:README.md,提交 e9d98c3
工具
0版本历史
3- v5.0.1最新Sep 28, 2026
- v5.0.0Sep 28, 2026
- v4.0.1Sep 21, 2026
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