Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Digital PDF invoices/bank statements to CSV, JSON or Excel with automatic PII redaction.
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.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"pdf-extract": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/diyaluo/pdf-extract-mcp:v0.3.0"
]
}
}
}Run this in your terminal
claude mcp add pdf-extract -- docker run -i --rm ghcr.io/diyaluo/pdf-extract-mcp:v0.3.0Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pdf-extract": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/diyaluo/pdf-extract-mcp:v0.3.0"
]
}
}
}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": {
"pdf-extract": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/diyaluo/pdf-extract-mcp:v0.3.0"
]
}
}
}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.
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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 8, 2026
The registry name was verified with the GitHub account diyaluo, 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 22 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
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
Agent-Native Google Calendar - manage events, sync, and public booking
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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.
A Model Context Protocol (MCP) server that extracts tables and text from digital (text-layer) PDFs — bank statements, invoices, bills — into CSV / JSON / Excel, with automatic PII redaction.
Part of the invoice-extractor product. This package is the MCP
distribution channel ("ecosystem parasite": one backend, many host
workflows). Web demo lives in the parent project.
extract_pdf — upload a digital PDF (base64 or URL), get back structured table rows as CSV / JSON records / XLSX.health — service status and free-tier limits.Table detection tries three strategies per page: ruled tables → explicit columns derived from the header row's own x-positions (handles statement PDFs with *no* grid lines, the common case for Western banks) → generic text alignment.
PII redaction (on by default) covers:
| Region | Masked |
|---|---|
| US / international | SSN, EIN/TIN, IBAN, SWIFT/BIC, routing/ABA, account numbers, card numbers (plain and 4111 1111 1111 1111 / dashed), US & international phone, email |
| China | 18/15-digit national ID, mobile phone, bank card, USCC (统一社会信用代码), passport, 2–3 char personal names, organization keywords |
Bank identifiers that are ambiguous as bare numbers (routing/account/sort code) are masked only when they follow a label, so reference numbers and amounts stay readable. Amounts, dates and descriptions are never altered.
Scanned / image-only PDFs are explicitly rejected (SCANNED_PDF_UNSUPPORTED) — the free tier covers digital PDFs only (OCR is a paid-tier candidate).
QUOTA_EXCEEDED response with an in-band upgrade pointer. It never silently bills.PDF_EXTRACT_API_KEY to a paid key to bypass the quota (billing gateway is a P1 item; current free tier has no paid keys issued).pip install -e .
pdf-extract-mcp
Client config example:
{
"mcpServers": { "pdf-extract": { "command": "pdf-extract-mcp", "env": {} } } }
REMOTE_TRANSPORT=http MCP_HOST=127.0.0.1 MCP_PORT=5060 \
python -m pdf_extract_mcp.server
extract_pdf(
pdf_base64: str | None, # preferred: PDF bytes as base64 pdf_url: str | None, # alternative: direct https .pdf URL output: "csv"|"json"|"xlsx", # default csv redact_pii: bool = true, api_key: str | None, # paid key, optional ) -> { ok, type: "tables"|"text", pages, tables, rows, columns, csv | rows_json | xlsx_base64, # depends on output elapsed_ms }
Every call is appended (best-effort, never blocks extraction) to ~/.cache/pdf-extract-mcp/mcp_usage.jsonl (override with PDF_EXTRACT_STATE_DIR). Clients are recorded as salted hashes; no PDF content and no PII are ever logged.
Note: as a distributed stdio bundle this file lives on the *user's* machine,
so the publisher cannot read it. Real external usage is read from the hosting
registry's owner API instead (
GET /servers/{namespace}/{name}/logson
Smithery returns the invocation count).
mcp >= 1.2 (works on both mcp 1.x FastMCP and mcp 2.x MCPServer), pdfplumber, openpyxl. pandas is optional — when absent the package falls back to a lightweight list-of-rows table (stdlib CSV/JSON + openpyxl), which keeps the distributable bundle small. Python 3.10+.
MIT