Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Description from the maker (original English)
OCR scanned PDFs and extract bank statements to Excel, CSV and QuickBooks with FastOCR.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
FASTOCR_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"fastocr": {
"command": "uvx",
"args": [
"fastocr-mcp"
],
"env": {
"FASTOCR_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add fastocr --env FASTOCR_API_KEY=your-value -- uvx fastocr-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"fastocr": {
"command": "uvx",
"args": [
"fastocr-mcp"
],
"env": {
"FASTOCR_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"fastocr": {
"type": "stdio",
"command": "uvx",
"args": [
"fastocr-mcp"
],
"env": {
"FASTOCR_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account fastocr-org, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: FASTOCR_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.3.0) reached the registry today.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
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Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
OCR any scanned PDF or image from Claude, Cursor and other MCP clients.
Website · Docs · Get an API key
An MCP server that lets your client OCR a local scanned PDF or image over stdio; files go only to the FastOCR API.
claude mcp add fastocr -e FASTOCR_API_KEY=your_api_key -- uvx fastocr-mcp
With uv there is nothing to install; the client runs uvx fastocr-mcp. Prefer pip? Run pip install fastocr-mcp and use the command fastocr-mcp. Python 3.10 or newer.
Every client needs the same command, uvx fastocr-mcp, and your key in FASTOCR_API_KEY.
Claude Desktop
Add this to claude_desktop_config.json (Settings > Developer > Edit Config), then restart Claude Desktop:
{
"mcpServers": { "fastocr": { "command": "uvx", "args": ["fastocr-mcp"], "env": { "FASTOCR_API_KEY": "your_api_key" } } } }
Cursor
Add this to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):
{
"mcpServers": { "fastocr": { "type": "stdio", "command": "uvx", "args": ["fastocr-mcp"], "env": { "FASTOCR_API_KEY": "your_api_key" } } } }
VS Code
Add this to .vscode/mcp.json in your workspace. VS Code uses servers, not mcpServers:
{
"servers": { "fastocr": { "type": "stdio", "command": "uvx", "args": ["fastocr-mcp"], "env": { "FASTOCR_API_KEY": "your_api_key" } } } }
If you installed with pip, use "command": "fastocr-mcp" and "args": [].
Ask your client in plain language:
The text above is the unedited output FastOCR returned for a scanned page.
| Tool | What it does |
|---|---|
ocr_file(path, output="text", output_path=None) | Uploads a local PDF or image, runs OCR and waits up to 45 seconds; a larger document returns its id for get_document. output="text" returns the text (text over 20,000 characters is cut, and the full text is saved to output_path or .ocr.txt next to the input file). output="pdf" saves a searchable PDF to output_path or .searchable.pdf. |
ocr_pdf(path, output="text", output_path=None) | The same tool as ocr_file under its earlier name, kept so existing setups keep working. |
get_document(document_id, output="status", output_path=None) | Status and page counts of a document; with output="text" or "pdf", waits up to 45 seconds and fetches the finished result. Fetching a result again costs no pages. |
list_documents(limit=20) | The most recent documents in the account, newest first. |
get_balance() | The pages left on the account: free pages (they reset monthly), contract pages if any, and Page Packs, plus the link to buy more. Costs no pages. |
delete_document(document_id) | Deletes a document and its stored files on FastOCR. Local files are not touched. |
| You get | How |
|---|---|
| The text of the document | ocr_file(path), or get_document(id, output="text") |
| A searchable PDF | ocr_file(path, output="pdf"), saved beside the input |
| Status and page counts | get_document(id) |
| Your recent documents | list_documents() |
fastocr-sdk and the official MCP Python SDK.Any signed-in FastOCR account can create an API key and start right away. Every account gets 50 free pages a month, shared with PDFs on the website; an image is one page. When you need more, buy a Page Pack on the pricing page. Packs and the page balance are the same on the website and in the API; ask your agent to run get_balance to see what is left. Accounts process 2 documents at once, or 10 with an API contract or 10,000 or more pages bought. You accept the API terms with your first key.
Errors and configuration
Tool errors are written for the agent to act on: a rejected key, an account out of pages (buy_pages), too many documents processing at once (concurrency_limit), a missing file, or an unsupported file type. Each message says what to do next. A document that runs out of pages fails with buy_pages; the tool says so and links to the pricing page. Error codes are listed in the API docs.
| Variable | Purpose |
|---|---|
FASTOCR_API_KEY | Required. Your API key. |
FASTOCR_BASE_URL | Optional. Overrides https://api.fastocr.org. |
Questions: support@fastocr.org. Bugs and requests: GitHub issues. Python SDK: fastocr-python. MIT license; see LICENSE. Made by FastOCR.