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Citra

Give your AI agent eyes for PDFs.

Citra is a local-first PDF evidence product for agents — fast, citeable, owned entirely in this repository.

Turn PDFs into structured text, tables, OCR, visual evidence, and page-level citations — locally — via SDK, CLI, or MCP.

Plain-text PDF tools make agents guess. Citra returns proof.
Package (transition): @sylphx/pdf-reader-mcp · bin pdf-reader-mcp

npm version License: MIT CI stars MCP Toplist

Product docs

Doc

Purpose

docs/POSITIONING.md

Strategic positioning

docs/COMPETITIVE.md

Peer anchors and wedge

docs/EVIDENCE_CONTRACT.md

Evidence = result contract

docs/TOOL_SURFACE.md

Few clear tools policy

docs/PRODUCT_INDEPENDENCE.md

This repo is SSOT

docs/IPPB.md

Independent public product bar

docs/PUBLISH.md

npm/git publish status

Related MCP server: PDF Reader MCP Server

Why this exists

Plain text vs evidence

Most PDF tools dump text. Agents then invent page numbers, miss tables, and cite the wrong cell.

Citra returns an Agent Document Twin: markdown + structure + geometry + provenance your agent can actually trust.

Without evidence

With Citra

“The revenue was about $12M”

“Page 14, Table 3, cell (row 4, col 2) = $12.4M

Lost table structure

Rows, columns, cells, bounding boxes

Scanned PDF becomes noise

OCR path with page-linked evidence

Hidden text / prompt injection ignored

Trust signals when requested

Agent skill surface

See skills/citra/SKILL.md.

Install (30 seconds)

npm install -g @sylphx/pdf-reader-mcp

Or pin the current release:

npm install -g @sylphx/pdf-reader-mcp@4.1.1

One native binary is installed for your platform only (not all five).

Platform

Native package (auto optionalDependency)

macOS arm64

@sylphx/pdf-reader-mcp-darwin-arm64

macOS x64

@sylphx/pdf-reader-mcp-darwin-x64

Linux x64

@sylphx/pdf-reader-mcp-linux-x64-gnu

Linux arm64

@sylphx/pdf-reader-mcp-linux-arm64-gnu

Windows x64

@sylphx/pdf-reader-mcp-win32-x64-msvc

Missing native package → fail closed (no silent engine switch).

Quick start

Claude Code

claude mcp add pdf-reader -- npx @sylphx/pdf-reader-mcp

Claude Desktop / Codex / Cursor / VS Code / any MCP client

{
  "mcpServers": {
    "pdf-reader": {
      "command": "npx",
      "args": ["@sylphx/pdf-reader-mcp"]
    }
  }
}

Dual-era hosts that send server/discover before initialize (e.g. Gemini Antigravity CLI) are supported on stdio — the server answers discovery and keeps the session open for the legacy handshake.

Stdio / HTTP

pdf-reader-mcp
MCP_TRANSPORT=http pdf-reader-mcp

SDK (programmatic)

Citra is not MCP-only. Apps and internal dogfood can call the same engine without a chat client.

TypeScript — spawn the native server as a client

import { Citra } from '@sylphx/pdf-reader-mcp/sdk';

const citra = Citra.create();
const { payload, isError } = await citra.read({
  sources: [{ path: '/absolute/path/to/doc.pdf' }],
  // auto defaults on when you omit include_* flags
});
if (isError) throw new Error(JSON.stringify(payload));
console.log(payload);

Low-level escape hatch: @sylphx/pdf-reader-mcp/pure-rust (createPureRustClient).

  • Export: @sylphx/pdf-reader-mcp/sdkCitra (read / search / evidence)

  • Export: @sylphx/pdf-reader-mcp/pure-rustcreatePureRustClient, resolvePureRustServerBinary, PureRustClient

  • Tools (same as MCP): read_pdf · search_pdf · pdf_evidence

  • Requires the platform optional native package (same as MCP install)

  • Roadmap: idiomatic high-level @sylphx/citra package name + richer typed SDK; semantics stay isomorphic with CLI/MCP

CLI

npx pdf-reader-mcp --help   # transitional bin
# doctor / read paths: see package bin and docs/guide

MCP — see Quick start above (npx @sylphx/pdf-reader-mcp).

Independence: this product only. No central Instruments monorepo.

What you get

Three tools. One product surface.

Tool

What agents use it for

read_pdf

Smart default: markdown, tables, structure, OCR, citations

search_pdf

Find page + snippet matches before deep reading

pdf_evidence

Crops, renders, inspect, focused evidence ops

Minimal call:

{
  "sources": [{ "path": "/absolute/path/to/report.pdf" }]
}

Flagship use cases

  1. Financial reports — extract table cells agents can cite by page and geometry

  2. Research papers — headings, reading order, page-level quotes

  3. Scanned documents — OCR path with evidence, not a text soup

Install footprint (honest product comparison)

Compare full clean installs, not “JS wrapper tarball vs native executable”:

Metric (measured clean install, linux-x64)

Historical TS 3.0.14

Sole-Rust 4.1.0

Main package on disk

~403 KB

~77 KB

Full node_modules

~82.3 MiB

~24.4 MiB (~3.4× smaller)

Installed files

4,101

20 (~205× fewer)

Production npm dependency graph

PDF.js + MCP TS SDK + more

{} + one platform native

The native binary is multi-megabyte because it is the PDF intelligence engine (parser, server, rendering/table/OCR routing). That is expected and still yields a cleaner, smaller install than shipping PDF.js + a JS dependency tree.

Details: installed footprint comparison

Performance

Controlled same-host linux-x64 dual-mode A/B vs @sylphx/pdf-reader-mcp@3.0.14, using registry-installed 4.1.x natives:

Mode

What it measures

Result

persistent_warm

long-lived server, repeated identical local read_pdf after warm-up

≥ ~10× median latency improvement on all 8 required fixture classes

startup_inclusive

spawn + initialize + one task

large advantage on the same fixtures

persistent_warm includes a process-local cache for identical local path+options. First request in a process still pays full parse cost.

Also: install footprint is much smaller than TS 3.0.14 on measured linux-x64 (~3.4× less disk, ~205× fewer files), and the 4.1.0 native binary is smaller than 4.0.2 (strip/LTO).

Not a multi-host guarantee. Details: 4.1.0 report · claims policy

Engine note

Version 4 runs a native Rust engine on supported platforms via a thin Node launcher.

Local-first. Five platforms. One clean install.

Engineering history, recovery pins, and ADRs live under docs/migration.md — not the product pitch.

Product proof

Docs

License

MIT


If this saves your agents from PDF hallucinations, star the repo and share a demo with your team.

Install Server
A
license - permissive license
B
quality
A
maintenance

Maintenance

Maintainers
5dResponse time
5dRelease cycle
56Releases (12mo)
Commit activity
Issues opened vs closed

Resources

Unclaimed servers have limited discoverability.

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Tools

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