talonicdev/talonic-mcp

What it does

Talonic MCP is a Model Context Protocol server that specializes in extracting structured data from various document formats including PDFs, scanned documents, images, and forms. It provides schema-validated extraction ensuring data consistency and quality. The tool maintains a searchable workspace memory that allows AI agents to not only extract new information but also search, filter, and query previously extracted data.

How to set up

As an MCP server, installation typically involves: 1) Cloning or downloading the talonicdev/talonic-mcp repository from GitHub, 2) Installing required dependencies, 3) Configuring the server settings and authentication if needed, 4) Connecting it to your MCP-compatible application (Claude, ChatGPT, or other supported platforms), 5) Testing the connection with sample documents.

Key features

• Schema-validated document extraction ensuring data accuracy and consistency
• Support for multiple document formats: PDFs, scans, images, and forms
• Searchable workspace memory for storing and retrieving past extractions
• Filter and query capabilities for extracted data
• AI agent integration for automated document processing workflows
• Cloud-based infrastructure (☁️) for scalability