Oxenstierna

Name: Oxenstierna
Author: AI-Riksarkivet

@AI-Riksarkivet

リポジトリ

Oxenstierna について

MCPs for Riksarkivet (WIP):

#htr #ocr #iiif #search #gradio #htrflow

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

AI-Riksarkivet

投稿者

Gabriel Borg

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "gradio": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://agents-mcp-hackathon-htrflow-mcp.hf.space/gradio_api/mcp/sse",
        "--transport",
        "sse-only"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Oxenstierna?

Oxenstierna is an MCP (Model Context Protocol) server that provides programmatic access to the Swedish National Archives (Riksarkivet) through multiple APIs including OAI-PMH, IIIF Image, IIIF Presentation, and Riksarkivet’s Search API. It is designed for researchers, historians, and developers who need to search, explore, and retrieve archival records and images.

How to use Oxenstierna?

Add the server to your MCP client (e.g., Claude Desktop) following the integration steps documented in the README. Once connected, use the provided tools in a search-based workflow: start by calling search_records with keywords, then explore collections with get_collection_info, examine image batches with get_manifest_info, and finally download specific images with get_manifest_image.

Key features of Oxenstierna

Search transcribed records by keyword using the Search API
Explore available content in a collection
Retrieve metadata via OAI-PMH API
Access IIIF Image and Presentation APIs
Download images from specific batches or entire collections
Build custom IIIF image URLs with parameters

Use cases of Oxenstierna

Search for historical documents by transcribed text (e.g., “coffee”, “medical records”)
Explore a collection’s structure and available image batches
Download all images from a collection for further analysis
Build IIIF-compliant image URLs for custom viewers
Integrate archival research workflows into AI-assisted tools