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MCP server · RAG

RAGandRAGfind

Document-centric RAG platform with ingestion, hybrid retrieval, MCP integration, admin tooling, and a separate local-first search UI called RAGfind.

48Fair

Scored 5 hours ago · breakdown

About RAGandRAGfind

RAGandRAGfind is an MCP server published by bmetallica in the RAG category: document-centric RAG platform with ingestion, hybrid retrieval, MCP integration, admin tooling, and a separate local-first search UI called RAGfind.

The repository has 2 stars and 0 forks, with the last commit 3 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/bmetallica/RAGandRAGfind

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (32)

compare_document_versionsCompare a document with an earlier version, either explicitly or by automatically choosing the most likely previous version.

Parameters not published.

compare_documentsCompare two documents and summarize shared themes, differences, and action-item deltas.

Parameters not published.

cross_referenceFind sections across documents that reference the same topic, concept, or term.

Parameters not published.

extract_api_surfaceExtract API endpoints, HTTP methods, response codes, and payload hints from a document or section.

Parameters not published.

extract_config_keysExtract config keys, environment variables, and CLI flags from a document or section.

Parameters not published.

extract_deadlinesExtract deadlines, due dates, and time-bound commitments from a document or section.

Parameters not published.

extract_decisionsExtract explicit decisions, approvals, and resolutions from a document or section.

Parameters not published.

extract_entitiesExtract people, organizations, dates, contact data, and other named entities from a document or section.

Parameters not published.

extract_meeting_actionsExtract open tasks, responsibilities, and action items from a meeting protocol or similar document.

Parameters not published.

extract_operational_notesExtract troubleshooting notes, warnings, runtime caveats, and operational hints from a document or section.

Parameters not published.

Show all 32 tools
extract_requirementsExtract requirements, prerequisites, dependencies, and setup conditions from a document or section.

Parameters not published.

extract_risksExtract risks, blockers, warnings, and critical issues from a document or section.

Parameters not published.

extract_setup_stepsExtract installation, setup, configuration, and run steps from a document or section.

Parameters not published.

forgetDelete one of your own notes or stored files. Cannot touch crawled, uploaded or git-synced documents.

Parameters not published.

get_document_contextFetch chunks from a specific document by source reference or document id for targeted follow-up questions.

Parameters not published.

get_document_download_linkReturn a stable download link for the original document file. Use this when the user wants the complete/original document instead of extracted text.

Parameters not published.

get_document_fulltextReturn extracted text for a single document. Use this for reading/searching content, not as the primary tool for delivering the original PDF/file to the user.

Parameters not published.

get_document_sectionReturn a single section from a document by section index or by ranking sections against a query.

Parameters not published.

get_document_structureReturn a structure-oriented view of a document with section levels and previews.

Parameters not published.

get_fileReturn the content of one file or document by its ref or path. Use startLine/endLine for long files.

Parameters not published.

get_noteRead one of your own notes in full, so you can extend it instead of writing a second one.

Parameters not published.

get_original_documentReturn metadata and a stable download link for the original source file of a document. Prefer this tool when the user asks for the complete document, original PDF, original file, attachment, or download link.

Parameters not published.

list_document_sectionsList heuristic sections for a document and optionally rank them for a follow-up query.

Parameters not published.

list_documentsList documents currently available in the RAG database, prioritizing local uploads and synced files.

Parameters not published.

list_sourcesList available files, documents and notes to navigate the knowledge base.

Parameters not published.

save_fileStore a source file under its path. Writing the same path again replaces the previous content.

Parameters not published.

save_noteStore knowledge under a stable key. Writing the same key again replaces the previous note - read it with get_note first and extend it.

Parameters not published.

search_knowledgeSearch the knowledge base for code, documentation and own notes. Returns short excerpts with their source path.

Parameters not published.

search_rag_contextSearch the ingested RAG corpus and return the most relevant document excerpts.

Parameters not published.

smart_searchSearch with document-type and category filters plus reranking and expanded context.

Parameters not published.

summarize_documentCreate a server-side summary for a whole document, with optional focus query.

Parameters not published.

summarize_document_sectionCreate a server-side summary for a specific document section or the best matching section for a query.

Parameters not published.

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Questions

About RAGandRAGfind

How do I install RAGandRAGfind?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is RAGandRAGfind safe to use with an AI agent?

Its trust score is 48 out of 100 (fair). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is RAGandRAGfind still maintained?

Yes — the last commit was 3 days ago. The repository has 2 stars and 0 forks.