🧩 What is Airparser MCP?
What is Airparser MCP?
Airparser MCP lets AI agents work directly with your Airparser account.
Instead of reading one document in one chat, an agent can use your real Airparser setup: inboxes, schemas, parsed documents, and post-processing steps.
That means Airparser stays the extraction layer, while the agent helps with decisions, fixes, and automation.
Why this is useful
AI models can already read documents. But with Airparser MCP, they can do much more than one-off extraction.
They can work with your existing pipeline and help you improve it.
What becomes possible
Classify new documents and route them to the right inbox. For example, separate invoices, resumes, purchase orders, and shipping documents before they reach the right parsing workflow.
Import historical emails and documents from other apps. For example, an agent can pull old messages from a Gmail inbox, find attachments, and send them to Airparser automatically so you can backfill data or rebuild workflows faster.
Write and test post-processing Python code. An agent can assist in generating scripts to clean, normalize, enrich, and reshape parsed data.
Create or update extraction schemas. When a document layout changes, an agent can help adjust the schema instead of making you rebuild it by hand.
Combine Airparser with other agent capabilities. Once the data is structured, an agent can do more with it: send emails, fill out forms, generate PDFs, update spreadsheets, or trigger the next step in a workflow.
What Airparser MCP can do today
The current Airparser MCP server can help agents:
list and inspect inboxes
list documents in an inbox
upload documents and parse them
retrieve parsed JSON
generate extraction schemas
read and update schemas
read, test, save, enable, and disable post-processing steps
Who it is for
Airparser MCP is best for people who want AI agents to work with documents in a structured, repeatable way.
It is especially useful for document-heavy operations, internal tools, and AI-powered workflows.
Why not just use AI in a chat?
Because one-off prompting is not the same as working with a real parsing system.
Airparser MCP gives agents access to:
saved schemas
repeatable output structure
document history
post-processing logic
That is what makes it powerful.
Next step
If you want to try Airparser MCP, connect it to your AI client and start with a real workflow: inspect an inbox, review parsed documents, update a schema, or test a post-processing step.