# FastOCR (pypi · fastocr-mcp)

OCR scanned PDFs and images into text or searchable PDFs with the FastOCR API.

- Trust score: 81/100 (high trust)
- Change this week: +15
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-04

## Components

- pypi · `fastocr-mcp`: 81/100 (this document), [markdown](https://verifymcp.io/servers/fastocr-org-fastocr-mcp/fastocr-mcp.md), [page](https://verifymcp.io/servers/fastocr-org-fastocr-mcp/fastocr-mcp)

## Channel facts

- Registry: `pypi`
- Package: `fastocr-mcp`
- Version: `0.2.0`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-04.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs hatchling.build at install time, a recognised build step with no custom scripting around it.
  - 1 of 32 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 100/100
  - Source repository is publicly reachable at the declared URL.
  - Cryptographically verified build provenance (signed, bound to fastocr-org/fastocr-mcp).
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 10 days ago).
  - Publishes a security disclosure policy (SECURITY.md).
- **Schema Quality & AI Usability**: 73/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 869 tokens (~144/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - All 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.
  - An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### How do I install the FastOCR MCP server?

FastOCR runs locally as a PyPI package, launched with uvx fastocr-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add fastocr-org-fastocr-mcp -- uvx fastocr-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "fastocr-org-fastocr-mcp": {
      "command": "uvx",
      "args": [
        "fastocr-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "fastocr-org-fastocr-mcp": {
      "command": "uvx",
      "args": [
        "fastocr-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add fastocr-org-fastocr-mcp -- uvx fastocr-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "fastocr-org-fastocr-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "fastocr-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add fastocr-org-fastocr-mcp --command uvx --arg fastocr-mcp
```

### Hermes

```yaml
mcp_servers:
  fastocr-org-fastocr-mcp:
    command: "uvx"
    args: ["fastocr-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "fastocr-org-fastocr-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "fastocr-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add fastocr-org-fastocr-mcp -t stdio -c uvx -a fastocr-mcp
```

### Other

```json
{
  "mcpServers": {
    "fastocr-org-fastocr-mcp": {
      "command": "uvx",
      "args": [
        "fastocr-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-03 (score 81, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-31 (score 66, −15)

- [security regression] Malware scan: pass → unverified

### 2026-10-29 (score 81, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-28 (score 66, −15)

- [security regression] Malware scan: pass → unverified

### 2026-10-27 (score 81, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-25 (score 66)

First indexed and scored.

## MCP tools (6)

### `ocr_file` (~261 tokens)

OCR a local PDF or image with FastOCR and return its text or save a searchable PDF.

Uploads the file, runs OCR and waits up to 45 seconds. With output='text' the
text is returned; text longer than 20,000 characters is cut, and the full text is
written to output_path or to <file>.ocr.txt next to the input file. With
output='pdf' the searchable PDF is saved to output_path or to <file>.searchable.pdf
next to the input file. Either default file replaces an earlier result with the
same name. Each processed page uses one page of the account's balance; an
image is one page. Large documents take longer: then this returns a document id,
and get_document with the same output fetches the result. Never call ocr_file
again for that file, which bills it again.

Input parameters:

- `output` (string): 'text' returns the extracted text; 'pdf' saves a searchable PDF with a text layer.
- `output_path`: Optional absolute path for the result file. An existing file there is replaced.
- `path` (string, required): Absolute path to a local PDF, PNG, JPG, JPEG, GIF, WebP or BMP file.

Output parameters:

- `result` (string)

### `ocr_pdf` (~101 tokens)

The same tool as ocr_file, kept under its earlier name. Prefer ocr_file.

Input parameters:

- `output` (string): 'text' returns the extracted text; 'pdf' saves a searchable PDF with a text layer.
- `output_path`: Optional absolute path for the result file. An existing file there is replaced.
- `path` (string, required): Absolute path to a local PDF, PNG, JPG, JPEG, GIF, WebP or BMP file.

Output parameters:

- `result` (string)

### `get_document` (~178 tokens)

Get a FastOCR document's status, and optionally its text or searchable PDF.

Statuses: awaiting_upload, processing, completed, partial (the account ran out of
pages partway), failed. With output='text' or 'pdf' this waits up to 45 seconds;
if the document is still processing, call it again. Fetching a result again costs
no pages. Without output_path, long text and PDFs are saved in the system temp
directory.

Input parameters:

- `document_id` (string, required): The document id returned by ocr_file or list_documents.
- `output` (string): 'status' (default) returns the status at once; 'text' or 'pdf' waits for the document to finish and fetches the result.
- `output_path`: Optional absolute path for the result file. An existing file there is replaced.

Output parameters:

- `result` (string)

### `list_documents` (~45 tokens)

List the most recent documents in the FastOCR account with their status and page counts.

Input parameters:

- `limit` (integer): How many documents to return, newest first (1 to 100).

Output parameters:

- `result` (string)

### `get_balance` (~104 tokens)

Get how many pages the FastOCR account can still process. Costs no pages.

Documents spend free pages first (they reset monthly), then contract pages, then
Page Packs. pages_remaining counts the Page Packs only, so add the free and
contract pages for the total. contract_* are omitted without an API contract.
statement_pages_remaining is a separate balance that OCR does not spend. Check this
before OCRing a large PDF; buy_pages_url is where to add pages.

Output parameters:

- `result` (string)

### `delete_document` (~62 tokens)

Permanently delete a FastOCR document and its stored files (original, text, searchable PDF).

A document that is still processing cannot be deleted. Local files are not touched.

Input parameters:

- `document_id` (string, required): The document id returned by ocr_file or list_documents.

Output parameters:

- `result` (string)

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/fastocr-org-fastocr-mcp/fastocr-mcp#diagnostics

## Score history

- 2026-11-04: 81
- 2026-11-03: 81
- 2026-11-02: 66
- 2026-11-01: 66
- 2026-10-31: 66
- 2026-10-30: 81
- 2026-10-29: 81
- 2026-10-28: 66
- 2026-10-27: 81
- 2026-10-26: 66
- 2026-10-25: 66

## Common questions

### What is the FastOCR MCP server?

FastOCR is an MCP server listed in the public MCP registry as io.github.fastocr-org/fastocr-mcp. OCR scanned PDFs and images into text or searchable PDFs with the FastOCR API. This page covers its PyPI package (fastocr-mcp).

### Is the FastOCR MCP server safe to use?

FastOCR scores 81 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the FastOCR MCP server expose?

FastOCR exposes 6 tools: ocr_file, ocr_pdf, get_document, list_documents, get_balance, delete_document. Their descriptions and schemas cost roughly 751 tokens of context every time the server is loaded.

### Is the FastOCR MCP server still maintained?

FastOCR is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the FastOCR MCP server under?

FastOCR declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/fastocr-mcp/
- Socket report: https://socket.dev/pypi/package/fastocr-mcp
- Repository: https://github.com/fastocr-org/fastocr-mcp
- Website: https://fastocr.org/docs
- Changelog RSS feed: https://verifymcp.io/servers/fastocr-org-fastocr-mcp/fastocr-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/fastocr-org-fastocr-mcp/fastocr-mcp.json
- HTML version of this page: https://verifymcp.io/servers/fastocr-org-fastocr-mcp/fastocr-mcp