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, /health probe).
• 🐍 Two shells, one core — this TypeScript package and a feature-equal Python wrapper ship the same tools over the same JSON-RPC contract.

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/.

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.)

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.

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.

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).

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.

Read one entry. mode=passages (query-ranked passages, k) or mode=fulltext (offset pagination with nextOffset). Notes return their body with tags and metadata.

include: metadata, abstract, annotations, notes, citation (bibtex / csljson / formatted via citationFormat/citationStyle). Notes are packed under the token budget.

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 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.

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.

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.

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.

• 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

Apache-2.0