FastOCR
PYPI · FASTOCR-MCP
OCR scanned PDFs and images into text or searchable PDFs with the FastOCR API.
Available components
Last scanned (19 hours ago)
Scores higher than 82% of PyPI servers
Category Documents and Files
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. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 1 of 32 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to fastocr-org/fastocr-mcp). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 10 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability73
- AI-judged instruction clarity (excellent).Pass
- 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. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- All 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
- An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
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.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 31 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 29 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 28 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 27 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 25 Oct 26 66
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Nov 2026 · Analysed pypi/fastocr-mcp@0.2.0
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | fastocr-org/fastocr-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/fastocr-org/fastocr-mcp/.github/workflows/publish.yml@refs/tags/v0.2.0 |
| Rekor log index | 3450932647 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:e4f2f149a62f542b8af8f269028380cc5216a4ecf8139db2f308aa145e8160a3 |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 32 packages
| Packages resolved | 32 |
|---|---|
| No linked repository | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
delete_document ~62
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.
| Name | Type | Req | Description |
|---|---|---|---|
| document_id | string | yes | The document id returned by ocr_file or list_documents. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_balance ~104
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.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_document ~178
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.
| Name | Type | Req | Description |
|---|---|---|---|
| document_id | string | yes | 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. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
list_documents ~45
List the most recent documents in the FastOCR account with their status and page counts.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | How many documents to return, newest first (1 to 100). |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ocr_file ~261
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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 | yes | Absolute path to a local PDF, PNG, JPG, JPEG, GIF, WebP or BMP file. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ocr_pdf ~101
The same tool as ocr_file, kept under its earlier name. Prefer ocr_file.
| Name | Type | Req | Description |
|---|---|---|---|
| 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 | yes | Absolute path to a local PDF, PNG, JPG, JPEG, GIF, WebP or BMP file. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
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.
pypi · fastocr-mcp
claude mcp add fastocr-org-fastocr-mcp -- uvx fastocr-mcp
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.