Alphamoon MCP. Automate data extraction from any complex PDF.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Alphamoon extracts structured data from contracts, invoices, and forms using AI-powered OCR. This MCP lets your agent automate document processing workflows by pulling specific fields—like total amounts or vendor names—from complex documents without manual entry.
What your AI agents can do
Check alphamoon status
Checks the connection status of your Alphamoon account for immediate operational verification.
Delete document
Removes a specified document record from the system's storage.
Get document
Retrieves specific metadata and details about an existing document file.
The agent identifies specific pieces of information—like a total amount or an ID number—and returns them as organized data points, rather than just raw text.
You programmatically list and coordinate entire document automation workflows to ensure high-fidelity extraction across different types of files.
The agent retrieves the complete, recognized text from scanned documents, including any handwritten notes or non-standard formatting.
You can list available templates; process pipelines; and monitor individual document statuses to maintain a perfect audit trail for every file processed.
The agent allows you to upload documents, check the system status, or delete records when they are no longer needed.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Alphamoon: 12 Document Processing Tools
This collection of tools lets you manage the full lifecycle of documents—from uploading them to running complex extraction pipelines and retrieving every piece of data inside.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Alphamoon on Vinkius019dd0b8check alphamoon status
Checks the connection status of your Alphamoon account for immediate operational verification.
019dd0b8delete document
Removes a specified document record from the system's storage.
019dd0b8get document
Retrieves specific metadata and details about an existing document file.
019dd0b8get extraction results
Fetches the structured, extracted data points from a processed document based on its ID.
019dd0b8get ocr results
Retrieves the complete, high-fidelity text recognized from scanned documents or images.
019dd0b8get process
Gets detailed information about a specific document automation pipeline configuration.
019dd0b8get template
Retrieves the details of an available extraction template, showing what data fields it expects to find.
019dd0b8list documents by process
Filters and lists documents that were processed using a specific automation pipeline ID.
019dd0b8list documents
Lists all documents currently stored in your Alphamoon account.
019dd0b8list processes
Lists all defined document processing pipelines available for use in your workflows.
019dd0b8list templates
Lists all custom data extraction templates you have created or that are available.
019dd0b8upload document
Uploads a new document file into the system for processing and analysis.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Alphamoon, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Alphamoon. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Dealing with PDF Data Is Always Manual Labor
Right. So, look at what happens today: you get a stack of invoices from your vendor; you open the first one, find the total amount, and copy it into your ledger sheet. Then you move to the next document, repeat the process, finding the due date, copying that over, and so on. It’s hours of clicking through tabs, validating formats, and managing clipboard fatigue.
Now, with this MCP connected via Vinkius, you simply upload the documents once. Your agent takes over. You don't copy anything; you just ask for 'the total amount.' The system processes everything in the background, gives you structured data points, and validates them against known templates. What you get back is a clean dataset ready to use.
Use Alphamoon MCP To Get Structured Data
You won't have to manually cross-reference what the OCR found versus what was extracted. The agent handles that distinction for you; it pulls structured fields directly via `get_extraction_results`, minimizing human error.
The difference is moving from 'I need to read this document and copy X, Y, and Z' to 'Tell me X, Y, and Z.' That’s the power shift.
What you can do with this MCP connector
Handling a stack of scanned receipts or PDFs is usually a nightmare; you're staring at unstructured data that takes hours to transcribe. With this connection, your AI client acts like a dedicated document engineer. It doesn't just read the file; it understands what kind of data it is—a date, an invoice total, a specific clause—and pulls it out as clean fields.
You can manage entire pipelines, list available templates, and monitor every step of the process without leaving your chat window. If you're used to copy-pasting numbers from PDFs into spreadsheets, this changes that. Your agent handles the full document lifecycle, giving you high-fidelity data and confidence scores for everything it finds.
This capability is hosted on Vinkius, which makes connecting Alphamoon with any other tool in its catalog simple.
019dd0b8-3844-71e7-a52d-9f012e75194d 
How Alphamoon MCP Works
- 1 First, subscribe to this MCP and retrieve your API Key from the Alphamoon dashboard.
- 2 Next, instruct your AI client to start processing a document; it will coordinate data extraction using available pipelines or templates.
- 3 Finally, you receive structured JSON output with identified fields—like 'Invoice ID' and 'Total Amount'—and confidence scores for each piece of data.
The bottom line is that your AI agent turns vague files into precise, usable data structures within a single conversation.
Who Is Alphamoon MCP For?
Anyone whose job involves translating information from physical documents or complex PDFs into digital records. This is for the accounts payable specialist who spends hours manually inputting invoice details, or the developer building custom automation that needs reliable data sourcing.
Needs to automate the ingestion of high-volume invoices; they use this MCP to pull vendor names, due dates, and line items directly into accounting software records.
Manages compliance workflows by checking document status and ensuring all necessary processing pipelines are running correctly for batches of receipts or IDs.
Integrates high-speed data intelligence into custom code; they use this MCP to pull structured fields into applications, bypassing manual API calls.
What Changes When You Connect
- Stop manually reviewing logs; use
get_extraction_resultsto instantly see structured fields and confidence scores for a processed document, verifying accuracy in natural language. - You can coordinate entire workflows by listing available automation pipelines using
list_processes, ensuring the right process runs on the correct document type every time. - Need to check if your connection is working? The
check_alphamoon_statustool gives instant operational reporting, telling you whether the API key and service are active before you start a big batch job. - Instead of searching through directories, use
list_documents_by_processto filter and find only those documents that ran through your specific 'Invoice Processing' pipeline. - Don't just trust the summary; retrieve the full context by calling
get_ocr_results. This gives you all the raw text from scanned files, including any handwritten notes for manual audit checks.
Real-World Use Cases
Processing a mixed batch of receipts
An ops manager uploads 20 random receipts. Instead of manually opening each one, the agent calls list_processes to find the receipt template, then uses get_process to confirm its settings, finally calling get_extraction_results on all 20 documents simultaneously.
Auditing historical invoices
A financial analyst needs data from last quarter. They use list_documents to pull a list of document IDs; then, they iterate through those IDs using get_document to confirm the metadata before running extraction on the most critical ones.
Building an automated ingestion service
A developer needs reliable input for their custom application. They use list_templates to find the right data structure, then they call get_template details and finally use upload_document to feed it into a controlled pipeline.
Data cleansing after migration
After an old system dump, there are junk files. An administrator uses list_documents to find the IDs of obsolete records and then calls delete_document on those specific file IDs for proper data cleanup.
The Tradeoffs
Assuming success after upload
A user uploads a document, assumes it's ready to use, and immediately asks the agent to extract fields. The extraction fails because no pipeline was assigned.
→
Always check the system status first using check_alphamoon_status. Then, ensure you define or select a process by calling list_processes before attempting any data retrieval.
Ignoring document lineage
A user gets extraction results but can't verify which pipeline generated those results. They only know the file ID.
→
To understand context, call list_documents_by_process to see exactly which automation workflow was used on that specific file.
Treating OCR and extraction as one step
A user asks for data, gets structured fields, but later finds the agent missed a handwritten note. They assume the initial request covered everything.
→
If you suspect missing context, always follow up by calling get_ocr_results. This gives the full raw text recognition layer, which is more complete than just the extracted fields.
When It Fits, When It Doesn't
Use this MCP if your job requires turning unstructured data—scans, PDFs, image files—into structured, predictable key/value pairs. Specifically, if you need to pull things like invoice totals or contract clauses; that's what it does best. Don't use it if you simply need to store text notes or manage a database of records; for those tasks, a standard database connector is better. If your goal is purely to list documents without processing them, list_documents works fine, but if the data needs structure and validation against defined templates, this MCP is necessary.
Common Questions About Alphamoon MCP
How do I start processing a new invoice with Alphamoon MCP? +
You first upload the document using upload_document. After that, you need to select or confirm which data template applies by checking the available options via list_templates.
Can I retrieve handwritten notes from a PDF using get_ocr_results? +
Yes. The get_ocr_results tool pulls all high-fidelity recognized text, including detected handwriting and non-standard print, giving you the full raw context.
What if I want to process only a specific type of file? Is there an Alphamoon MCP tool for that? +
Yes. You can use list_documents_by_process to filter and list documents based on the automation pipeline they ran through, helping you target your analysis.
Is it possible to check if my API key is working before I start a job? (check_alphamoon_status) +
Absolutely. Use check_alphamoon_status first. It verifies the live connectivity and operational status of your account, saving you time by catching issues upfront.
I need to clean up old files; how does the `delete_document` command work? +
You use delete_document by providing the document ID you want removed. This tool permanently deletes the file and all associated metadata from your account, helping you maintain a clear audit trail.
Before running an extraction, how can I check the specific structure using `get_template`? +
Call get_template to view the schema definition for any template. This lets you confirm exactly what fields (like 'Invoice Date' or 'Total Amount') your pipeline expects before you upload a single document.
I'm setting up a new workflow; how can I check all my active document automation pipelines with `list_processes`? +
list_processes shows every configured automation pipeline ID. This is your starting point for understanding the full scope of workflows available to process different types of documents.
What information can `get_document` provide about a document's current processing status? +
get_document returns detailed metadata, including the file's current status (e.g., 'Processing', 'Completed', or 'Failed'). It’s essential for monitoring long-running jobs and troubleshooting errors.
How do I find my Alphamoon API Key? +
Log in to your account, navigate to Settings > API, and generate a new API Key for your integration.
Can I retrieve raw OCR text via AI? +
Yes! The get_ocr_results tool allows your agent to retrieve the complete high-fidelity recognized text from any processed document.
How do I check extraction results? +
Use the get_extraction_results tool and provide the document ID to retrieve structured fields and confidence scores programmatically.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.