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Parseur

Parseur MCP Server

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Automate document processing via Parseur — list mailboxes, upload PDFs/Emails, extract structured data pipelines, and trigger template logic natively.

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Parseur
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What is the Parseur MCP Server?

The Parseur MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Parseur via 10 tools. Automate document processing via Parseur — list mailboxes, upload PDFs/Emails, extract structured data pipelines, and trigger template logic natively. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

create_mailboxcreate_templateget_document_dataget_document_detailsget_mailboxlist_documentslist_mailboxeslist_templatesretry_documentupload_document

Tools for your AI Agents to operate Parseur

Ask your AI agent "Check my Parseur mailboxes to find the specific bounding IDs." and get the answer without opening a single dashboard. With 10 tools connected to real Parseur data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Parseur MCP Server capabilities

10 tools
create_mailbox

The type determines the parsing engine (e.g., "pdf", "email", "attachment"). Once created, you can configure templates and forward documents to the mailbox for automatic extraction. Create a new Parseur mailbox for document parsing

create_template

Pass the template name and a JSON config string defining field mappings. Parseur will use this template to extract structured data from matching documents. Create a new extraction template for a Parseur mailbox

get_document_data

Fields depend on the template configuration (e.g., invoice_number, total_amount, line_items). Only works for documents with status "processed". Retrieve the fully extracted JSON data from a parsed document

get_document_details

Does not include the parsed data itself — use get_document_data for that. Get metadata of a single parsed document

get_mailbox

Use this to verify mailbox setup before sending documents. Get detailed configuration of a specific Parseur mailbox

list_documents

Each entry includes document ID, status (processed, failed, pending), and metadata like sender and received date. List all parsed documents inside a Parseur mailbox

list_mailboxes

Each mailbox represents a parsing pipeline for a specific document type (invoices, receipts, emails). Use the returned mailbox IDs for subsequent operations like listing documents or uploading files. List all Parseur parsing mailboxes

list_templates

Templates define the extraction rules (field names, locations, regex patterns) used to pull structured data from incoming documents. List available extraction templates for a Parseur mailbox

retry_document

Useful after fixing template rules or when the original parse failed due to a transient error. The document will be matched against the latest template rules. Retry parsing a failed or errored Parseur document

upload_document

eml) to the specified mailbox for automatic parsing. The document enters the processing queue and will be parsed according to the mailbox template. Returns the new document ID for tracking. Upload a document URL to a Parseur mailbox for parsing

What the Parseur MCP Server unlocks

Bring Parseur Document Extraction arrays directly into your AI workflows. By explicitly mapping into powerful OCR and templating engines, your agent can push unstructured PDFs or bulk emails into remote routing limits, parsing exact text fields securely. Extract fields, examine documents, list defined parse-templates, and retry pipelines without manual intervention.

What you can do

  • Mailboxes & Templates — Examine specifically bound mailboxes tracking which explicit templates dictate data extraction limits mapped natively
  • Document Navigation — Extract properties showing precisely which unstructured strings were identified inside uploaded payloads checking status: parsed correctly
  • Payload Uploading — Instruct the node limits mapping upload_document generating raw payloads routing straight into the engine for OCR logic
  • Job Management — Discover disconnected states mitigating failed validations by pushing retry_document instantly forcing physical pipeline resets

How it works

1. Subscribe to this server
2. Enter your Parseur API Key explicitly
3. Start evaluating explicit AI OCR workflows reliably via Claude, Cursor, or any MCP structure

Who is this for?

  • Operational Workflows — explicitly map invoicing pipelines investigating extraction errors remotely avoiding web limits
  • Finance Teams — trace OCR receipts dynamically identifying missing fields from Chat architectures directly into a JSON limit natively
  • Developers — route manual document loads simulating continuous AI logic mapping testing integrations on webhook bounds

Frequently asked questions about the Parseur MCP Server

01

Does this tool parse the document directly or use the cloud engine?

The tool offloads the logic specifically via endpoints mapping back to the Parseur Cloud Engine. The AI acts to organize mailboxes, list templates, and fetch final states securely without computing massive local OCR networks.

02

Can I upload a raw file string to be parsed?

Yes. Utilizing the explicitly mapped upload_document constraint, the agent can inject raw string boundaries identifying formatting, passing files straightforward into the target mailbox ID natively.

03

Will I see missing required fields if extraction fails?

Absolutely. Querying get_document_details lists specific status bounds. If a template expects InvoiceTotal and misses it, the document flags a processing boundary issue precisely traceable here.

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