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Provides read-only document search, listing, and retrieval for MCP clients.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ARL-DMS MCP Server" yet — see the docs or source repo.
Search ARL-DMS for documents related to a specific risk topic and list the most relevant results.
A list of matching documents with titles, paths, or source info.
Retrieve materials related to Bangladesh law and provide readable document content or entries.
Relevant entries and content summaries from legal sources.
List the files in a Google Drive folder and organize them by name or type.
A file list from the folder with basic metadata.
Researchers or analysts can search a large indexed corpus for risk-related materials. It helps narrow the source set and locate citable documents.
When Bangladesh law or related regulations are needed, users can search legal sources and read documents. It is useful for compliance checks and background research.
Office workers can list files and folders to quickly locate shared materials. It is read-only, so it is suited for querying rather than editing.
It is a service that exposes AKIJ Resources' document management system to MCP clients. It provides search, listing, and read-only retrieval over indexed files and folders.
It can search, list, and read documents, including materials from risk databases, Google Drive, and legal sources. It is read-only and does not provide editing.
It serves over stdio JSON-RPC 2.0; other runtime or setup details are not specified in the provided information, see the source repository.
Connect to a legal MCP service for law research and document support.
Analyze legal compliance and data protection risks and support audit workflows.
Search Austrian federal laws, provisions, history, amendments, and citations.
Search US business entities, SEC filings, federal contracts, and lobbying data.
Search and read indexed local documents with full-text and fuzzy matching.
Search and retrieve Japanese laws with natural-language queries from e-Gov.