- MCP-VizAPI: Visual Data Extraction with VizAPI.ai
MCP-VizAPI: Visual Data Extraction with VizAPI.ai
Overview
What is MCP-VizAPI?
MCP-VizAPI is a server that integrates with VizAPI.ai to extract structured data from images and documents using the Model Context Protocol (MCP).
How to use MCP-VizAPI?
To use MCP-VizAPI, set up the server by installing the necessary dependencies, configuring your environment variables, and running the server either using Python or Docker.
Key features of MCP-VizAPI?
- List and retrieve extraction templates.
- Suggest fields for extraction from documents/images.
- Extract structured data using predefined templates.
- Health check for the VizAPI service.
Use cases of MCP-VizAPI?
- Automating data entry from scanned documents.
- Extracting information from invoices and receipts.
- Integrating with AI agents for enhanced data processing.
FAQ from MCP-VizAPI?
- What is required to run MCP-VizAPI?
You need Python 3.12+, a VizAPI.ai account, and Docker if running as a container.
- Can I use MCP-VizAPI without Docker?
Yes, you can run it using Python directly.
- How do I check if the VizAPI service is running?
Use the health check feature provided by the server.
Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
IvanZidovStar
0Language
PythonLicense
MIT licenseCategory
research-and-data
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