What is the Model Context Protocol (MCP)?

MCP is a core framework used by Digital Scribe to connect and enrich historical data, linking it with external records and integrating it into searchable knowledge graphs.

How does Digital Scribe handle challenging historical data like old handwriting?

It features Temporal Handwriting Text Recognition (HTR) specifically trained for 19th-century cursive, enabling accurate digitization of handwritten historical records.

What is 'Sovereign Ingestion' in Digital Scribe?

Sovereign Ingestion uses Redactor and Guardian patterns to protect the integrity of historical data from the moment of capture, ensuring its authenticity and reliability.

Can Digital Scribe process physical artifact data?

Yes, it extracts spatial metadata from 3D photogrammetry models to analyze condition, physical wear, and other characteristics of historical artifacts.

Digital Scribe

Name: Digital Scribe
Author: kenwalger

0•

Facilitates high-integrity ingestion and preservation of historical artifacts using the Model Context Protocol.

The Digital Scribe is a reference implementation for building a sovereign, high-integrity historical ingestion pipeline. It leverages the Model Context Protocol (MCP) to transform fragile 19th-century artifacts into modern, searchable knowledge graphs, utilizing a 'Clean-Room Ingestion' architecture that combines local edge-processing for privacy with frontier cloud reasoning for historical synthesis.

主な機能

01Sovereign Ingestion protecting data integrity using Redactor and Guardian patterns

02Spatial metadata extraction from 3D photogrammetry models for condition grading

030 GitHub stars

04Contextual Cross-Referencer for enriching ingested data with historical records from public APIs

05Temporal Handwriting Text Recognition (HTR) for 19th-century cursive

ユースケース

01Creating agentic historical knowledge graphs from flat historical data tables

02Building HTR pipelines for historical handwritten ledgers, such as 1880 U.S. Census records

03Performing spatial forensics and condition analysis on museum photogrammetry sets