io.github.parseur/parseur-py
MCP server that exposes Parseur document parsing and mailbox management as tools for AI assistants, allowing natural language control of parseur.com.
README
<!-- mcp-name: io.github.parseur/parseur-py -->
🤖🧙parseur-py
parseur-py is a modern Python client for the Parseur API.
It lets you manage mailboxes, documents, uploads, and webhooks programmatically or from the command line.
Built to help you automate document parsing at scale, parseur-py makes integrating with Parseur fast, easy, and Pythonic.
✨ Features
✅ List, search, and sort mailboxes
✅ Get mailbox details and schema
✅ List, search, filter, and sort documents
✅ Upload documents by file or email content
✅ Reprocess, skip, copy, or delete documents
✅ Manage custom webhooks for real-time events
✅ Listen to events in real time with a temporary webhook & tunnel
✅ Fully-featured Command Line Interface (CLI)
✅ Built-in MCP server to drive Parseur from AI assistants (Claude, Cursor, …)
⚠️ Disclaimer about Localtunnel
When using the parseur listen command (with event listener support), your data is forwarded through localtunnel servers.
These servers are not affiliated with Parseur and are not covered by Parseur’s Privacy Policy or Data Processing Agreement.
Data transmitted through localtunnel is not encrypted end-to-end.
➡️ Use this feature at your own risk.
For production-grade setups, we strongly recommend configuring your own secure webhook endpoint instead of relying on localtunnel.
🚀 Quick Start
Install the package
pip install parseur-py
With event listener support (Flask + localtunnel)
pip install "parseur-py[listener]"
With MCP server support (use Parseur from AI assistants)
pip install "parseur-py[mcp]"
Install the package from source
pip install -e .
Build documentation
pip install -r requirements-doc.txt
cd docs
make html
Run the tests
Unit tests run fully offline:
pytest
Integration tests hit the real Parseur API. They create and delete real
resources, so they're skipped unless credentials are provided via the
environment (never committed or stored in ~/.parseur.conf):
PARSEUR_API_BASE=https://api.parseur.com \
PARSEUR_API_KEY=sk_your_key \
pytest tests/integration -v
Initialize your configuration
Store your Parseur API credentials securely:
parseur init --api-key YOUR_PARSEUR_API_KEY
Your config is saved (by default) in:
~/.parseur.conf
Example usage
List all your mailboxes:
parseur list-mailboxes
List documents in a mailbox:
parseur list-documents 12345
Upload a file to a mailbox (add --wait to block until it is parsed, with a live progress bar):
parseur upload-file 12345 ./path/to/document.pdf
parseur upload-file 12345 ./path/to/document.pdf --wait
Download a mailbox's results as a file (stdout by default, or --output):
parseur download-mailbox 12345 --format csv -o results.csv # whole mailbox
parseur list-parser-fields 12345 # find a table field id
parseur download-field 12345 PF951 --format xlsx -o lines.xlsx # a table field
Register a custom webhook:
parseur create-webhook --event document.processed --target-url https://yourserver.com/webhook --mailbox-id 12345
Listen to events in real time (requires [listener]):
parseur listen --event document.processed --mailbox-id 12345
With forwarding:
parseur listen --event document.processed --mailbox-id 12345 --redirect-url http://localhost --redirect-port 8000
📜 CLI Commands
Run:
parseur --help
for a full list of available commands.
Highlights
- init: Set your API token and (optional) base URL
- list-mailboxes: Search and sort mailboxes
- get-mailbox: Fetch a mailbox by ID
- get-mailbox-schema: Get the mailbox parsing schema
- list-parser-fields: List the fields extracted by a mailbox
- download-mailbox / download-field / download-export: Download results as a file (csv/json/xlsx)
- list-export-configs: List a mailbox's custom export configurations
- list-documents: Advanced document search, filtering, sorting
- get-document / get-document-logs: Fetch document details and processing logs
- reprocess-document / skip-document / copy-document / split-document / reverse-split-document / delete-document: Document lifecycle operations
- upload-file / upload-text: Upload new documents (add
--waitfor synchronous parsing) - upload-folder: Upload every file matching a glob path
- create-webhook / get-webhook / list-webhooks / delete-webhook: Create, get, list, and delete custom webhook integrations.
- enable-webhook / pause-webhook: Activate or pause a webhook for a specific mailbox.
- listen: Create a temporary webhook and listen to events in real time (with optional redirect & silent mode)
- mcp: Run the Parseur MCP server so AI assistants can manage your account (requires
[mcp])
🔎 Advanced Search & Filtering
Mailbox listing supports:
- Search by name or email prefix
- Sort by:
- name
- document_count
- template_count
- PARSEDOK_count (processed)
- PARSEDKO_count (failed)
- QUOTAEXC_count (quota exceeded)
- EXPORTKO_count (export failed)
Document listing supports:
- Search in:
- document ID
- document name
- template name
- email addresses (from, to, cc, bcc)
- document metadata header
- Sort by:
- name
- created (received date)
- processed date
- status
- Filter by:
- received_after / received_before dates
- Include parsed result in response
⚡ Webhooks Support
Easily register custom webhooks for events like:
document.processeddocument.processed.flatteneddocument.template_neededdocument.export_failedtable.processedtable.processed.flattened
Your webhook endpoint will receive POST notifications with Parseur payloads, enabling real-time integrations with your systems.
🤖 MCP Server (AI assistants)
parseur-py ships an MCP server that exposes Parseur as tools any MCP-compatible AI assistant (Claude Desktop, Codex, Cursor, Claude Code, and others) can call directly.
Start with MCP.md if you want to connect Parseur to Claude, Codex, or Cursor. It separates the recommended user setup from the developer setup and includes copy-paste configs for each client.
The full tool reference is in MCP-TOOLS.md, and maintainer publishing instructions are in MCP-PUBLISHING.md.
Quick zero-install command:
uvx --from "parseur-py[mcp]" parseur-py
🛠️ Configuration
Your API token and settings are stored in a simple INI file:
[parseur]
api_token = YOUR_API_KEY
base_url = https://api.parseur.com
You can customize the path by setting `--config-path` in your calls if needed.
🐍 Python Client Usage
Beyond the CLI, parseur-py is a standard Python library. Example:
import parseur
parseur.api_key = "YOUR_API_KEY"
for mailbox in parseur.Mailbox.list():
print(mailbox.name)
Per-call API key override
Every method accepts an optional api_key argument that takes priority over
the global parseur.api_key for that single call — useful for multi-account
or multi-tenant code:
parseur.Mailbox.list(api_key="sk_account_a")
parseur.Document.upload_file(123, "invoice.pdf", api_key="sk_account_b")
📖 Documentation
- Parseur Official API Docs
- This package mirrors Parseur’s REST API, adding pagination handling, schema support, and convenient CLI commands.
💼 License
MIT License
🤝 Contributing
We welcome contributions! Please:
- Fork the repo
- Create your feature branch (
git checkout -b feature/foo) - Commit your changes (
git commit -am 'Add foo') - Push to the branch (
git push origin feature/foo) - Open a pull request
✨ Credits
Developed with ❤️ by the Parseur team.
Parseur is the easiest way to automatically extract data from emails and documents. Stop copy-pasting data and automate your workflows!
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。