Install
$ agentstack add mcp-cyanxxy-open-ocr-cli ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Open OCR CLI
Agent-first, provider-neutral document extraction for the command line.
Turn images, PDFs, and public URLs into text or validated structured data — through Gemini, Kimi K3, Meta Muse Spark, OpenRouter, or any OpenAI-compatible endpoint — behind one consistent extraction contract.
[](https://github.com/cyanxxy/open-ocr-cli/actions/workflows/ci.yml) [](https://www.npmjs.com/package/open-ocr-cli) [](https://github.com/cyanxxy/open-ocr-cli/releases) [](package.json) [](LICENSE)
[Quick start](#quick-start) · [Modes](#extraction-modes) · [Commands](#commands) · [Agents and MCP](#agents-and-mcp) · [Providers](#providers) · [Full CLI reference](packages/cli/README.md)
> [!NOTE] > open-ocr-cli is the current executable and npm package; the earlier > gemini-ocr executable and config paths still work. This repository also > hosts the original Gemini [web app](#web-application) — provider-neutral > support applies to the CLI.
Quick start
Requires Node.js 20.19+, 22.13+, or 24+ and one provider key (--dry-run needs none).
npm install --global open-ocr-cli
export GEMINI_API_KEY="your-key"
open-ocr-cli extract invoice.pdf
Switch providers with a flag:
open-ocr-cli extract invoice.pdf --provider kimi # MOONSHOT_API_KEY
open-ocr-cli extract invoice.pdf --provider openrouter \
--model moonshotai/kimi-k3 # OPENROUTER_API_KEY
Keys are read only from the environment or a project .env — never from a flag or config file. With no arguments the CLI prints help and never prompts, so scripts and CI stay deterministic; interactive, init, and doctor cover the guided paths.
Also available as a [Docker image](packages/cli/README.md#distribution) (ghcr.io/cyanxxy/open-ocr-cli), a [GitHub Action](action.yml) (cyanxxy/open-ocr-cli@v2), and a Homebrew formula.
Extraction modes
| Mode | Command | Best for | | --- | --- | --- | | Simple | extract --mode simple | General text, layout, equations, image descriptions | | Template | extract --preset | Invoices, receipts, resumes, business cards | | Custom schema | extract --schema | Your own validated JSON structure | | Agentic | extract --mode agentic | Iterative field recovery and targeted region re-OCR | | Web | web | Grounded extraction from public URLs |
Schemas are validated locally — both the schema and the model's returned value — before anything is written. Invalid JSON or a schema mismatch is never persisted as a success.
Agentic mode uses a two-loop design: an outer document loop evaluates confidence and coverage, while an inner loop lets the model call one tool (structure analysis, batch field extraction, region re-OCR), inspect the result, and decide what to do next. The document is sent once.
Commands
| Command | Purpose | | --- | --- | | extract | Extract files, directories, globs, or binary stdin (-) | | web | Grounded extraction from up to 20 public HTTP(S) URLs | | run --request | Execute a versioned machine-protocol request | | mcp | Serve OCR tools over the Model Context Protocol stdio transport | | capabilities · schema | Advertise providers, modes, limits, error codes; print JSON Schemas | | init · doctor · interactive | Configure, diagnose, and explore | | status [output] | Audit a completed or interrupted batch | | presets · models · providers | Discover templates, model IDs, and provider profiles |
# Recursive, resumable batch
open-ocr-cli extract ./documents --output ./results --concurrency 4 --resume
# Structured invoice artifacts (markdown + JSON + CSV)
open-ocr-cli extract ./invoices --preset invoice --format all --output ./invoice-results
# Validate the full plan without credentials, API calls, or writes
open-ocr-cli extract ./documents --dry-run
Extracted content and JSONL events go to stdout; progress and diagnostics go to stderr — every command composes safely in a pipeline.
> Flags, configuration keys, batch semantics, cost controls, and exit codes: > [packages/cli/README.md](packages/cli/README.md)
Agents and MCP
Three entry points wrap the same job engine.
Machine protocol — run executes a versioned request (v2 current, v1 still supported) validated against published Draft 2020-12 JSON Schemas, returning a typed result object or an ordered JSONL event stream with stable sequence numbers and typed error codes carrying recovery hints:
open-ocr-cli capabilities --json
open-ocr-cli run --request request.json --response-format jsonl
MCP server — open-ocr-cli mcp starts a stdio server exposing ocr_extract, ocr_run_agentic, and ocr_web, plus an open-ocr://capabilities resource:
{
"mcpServers": {
"open-ocr": {
"command": "open-ocr-cli",
"args": ["mcp"]
}
}
}
Agent skill — a validated skill for Claude Code, Codex, and compatible agents ships at [integrations/open-ocr/skills/open-ocr/SKILL.md](integrations/open-ocr/skills/open-ocr/SKILL.md) and in the npm package under skills/open-ocr/.
All three are reference-first: large bodies land in .open-ocr-results/ artifacts instead of flooding an agent's context, cancellation is honored, and under mcp stdout carries only transport messages.
Providers
| Profile | Default model | Documents | Structured output | Agent tools | | --- | --- | --- | --- | --- | | gemini | gemini-3.5-flash | Images and native PDFs | Yes | Native Interactions API | | kimi | kimi-k3 | Images; PDFs via Kimi file extraction | Yes | OpenAI-compatible tool calls | | muse | muse-spark-1.1 | PNG, JPEG, WebP, GIF, PDF | Yes | OpenAI-compatible tool calls | | openrouter | google/gemini-3.5-flash | Model-dependent | Model-dependent | Model-dependent | | openai-compatible | Required | Images; PDF not assumed | Endpoint-dependent | Endpoint-dependent |
Named profiles supply endpoints, credential variable names, and multimodal wire formats; openrouter and openai-compatible take arbitrary upstream model IDs. Any provider can also run through Cloudflare AI Gateway with --gateway cloudflare, including BYOK.
Model catalogs, reasoning levels, cost estimates, and gateway configuration are documented in the [CLI reference](packages/cli/README.md#models-reasoning-and-cost).
Limits and guarantees
| Constraint | Limit | | --- | --- | | Formats | PNG · JPEG · WebP · GIF · HEIC · HEIF · PDF (video is rejected) | | Size | Images 70 MB raw · PDFs 50 MB and 1,000 pages | | Batches | 1,000 files and 5,120 MB by default; concurrency 1–16 | | Output | Markdown · JSON · CSV · JSONL · agent audit steps |
Every discovered input gets a succeeded, partial, failed, or skipped result — no silent loss. Batches are fingerprinted and resumable, output is lock-guarded and no-clobber, and truncated, blocked, or schema-invalid model responses fail closed rather than being written as success.
There is no backend and no telemetry: documents go to the selected provider or gateway and nowhere else. Web OCR rejects credentials in URLs, localhost, private ranges, and tunnel hosts, and pins DNS across redirects. Report vulnerabilities privately via [SECURITY.md](SECURITY.md).
Web application
The repository also contains the original Gemini-powered React app with the same five workflows and light/dark/AMOLED themes:
npm ci && npm run dev # http://localhost:5173 — add your key under Settings
> [!IMPORTANT] > The browser stores the API key in localStorage with light obfuscation, not > strong encryption. Anyone with access to that browser profile can recover it. > Prefer a backend proxy for organization-owned credentials.
Repository layout
One repository, three entry points over a shared extraction engine:
| Path | What it is | | --- | --- | | src/lib | The engine: providers, extraction modes, agent loop, protocol types. No browser APIs, so both front ends use it. | | src/ (rest) | The React web app — the npm run dev target described above. | | packages/cli | The published open-ocr-cli npm package. Owns its own source, build, and protocol schemas. | | integrations/open-ocr/skills | Agent skill definitions. Source of truth; packages/cli/skills is a generated copy. | | evals/ | The evaluation corpus and runner. |
open-ocr-cli mcp is not a separate package — it is a third front end inside the CLI, alongside extract (human-facing) and run (versioned protocol), all routed through the same job service.
The CLI is typechecked without DOM libraries on purpose, so a browser API cannot reach it through the shared engine.
Contributing
Setup, PR gates, and release steps are in [CONTRIBUTING.md](CONTRIBUTING.md). Behavior changes need tests or evaluation evidence; the evaluation suite is documented in [evals/README.md](evals/README.md).
Issues · Releases · [Changelog](CHANGELOG.md) · [Security](SECURITY.md) · [Code of Conduct](CODEOFCONDUCT.md)
MIT Licensed — see [LICENSE](LICENSE)
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: cyanxxy
- Source: cyanxxy/open-ocr-cli
- License: MIT
- Homepage: https://www.npmjs.com/package/open-ocr-cli
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.