What OAI-PMH verbs are implemented?
DISCLAIMER implements five verbs: Identify, ListMetadataFormats, ListSets, ListRecords, and GetRecord. Each verb is exposed as a separate tool (e.g., `rijksmuseum_identify`).
@shenhai-ran
基本情報
MCP server for Rijksmuseum OAI-PMH API
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
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。
DISCLAIMER is a Model Context Protocol (MCP) server that provides access to the Rijksmuseum OAI-PMH API. It exposes the museum’s collection metadata through standard OAI-PMH verbs as individual MCP tools, making it easy for MCP‑compatible clients to query records, sets, and formats.
Clone the repository, install dependencies with npm install, then start the server using npm run dev (or npm run watch for hot reloading). The server listens on a local HTTP port and exposes endpoints such as GET / for server info and POST /tools/{toolName} to invoke specific OAI-PMH tools.
rijksmuseum_identifyrijksmuseum_list_metadata_formatsrijksmuseum_list_setsrijksmuseum_list_recordsrijksmuseum_get_recordDISCLAIMER implements five verbs: Identify, ListMetadataFormats, ListSets, ListRecords, and GetRecord. Each verb is exposed as a separate tool (e.g., `rijksmuseum_identify`).
Clone the repository, run `npm install` to install dependencies, then start with `npm run dev`. For development with hot reloading, use `npm run watch`.
The server is written in TypeScript and requires Node.js. Dependencies are managed via npm (installed with `npm install`).
All data is fetched from the Rijksmuseum OAI-PMH API, which provides access to the museum’s collection metadata. No local database is used.
Send a POST request to `/tools/rijksmuseum_get_record` with a JSON body containing `identifier` and `metadataPrefix`. An example is provided in the README.
Hindsight: Agent Memory That Learns

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
Open-source MCP to use Blender with any LLM

Couples therapist Figs O'Sullivan (LMFT, 17 years, endorsed by Sue Johnson, creator of EFT) inside your AI. Ask relationship questions answered from his clinical writing, name the pattern in a fight, get a three-step rep
コメント