Add documents to a collection by providing a URL for download, processing them for text extraction, and indexing them for semantic search.
MIT
338,921 tools. Last updated 2026-07-30 05:16
"Using Knowledge Base Files for Drafting, Writing, and Editing Documents" matching MCP tools:
- Retrieve a list of all knowledge folders in your organization, each containing documents for RAG capabilities.MIT
- Check Onyx knowledge base health and sync status. Retrieve last sync time, total indexed documents, and connector status via ONYX_API_URL.MIT
- List available XGR and XDaLa standards, including xdala-authoring rules, for agent drafting compliance.Apache 2.0
- Search AlgoChains Onyx knowledge base for strategy research, blueprints, skills, and live bot logs, returning relevance-ranked documents.MIT
- Index local research documents (PDF, Markdown, JSON, TXT) into the Onyx RAG knowledge base. These documents become searchable for instant retrieval and querying.MIT
Matching MCP Servers
- AlicenseAqualityCmaintenanceExposes a knowledge base to LLM clients through tools, resources, and prompts.Last updated2MIT
- Alicense-qualityAmaintenanceA cross-project knowledge base MCP server supporting three-layer search (text matching, TF-IDF, and semantic vectors) with a Web UI for management.Last updated3,336MIT
Matching MCP Connectors
AI-powered knowledge base for Double - Thank You with semantic search and question answering.
Search verified local businesses, check what their verification proves, and message them.
- Retrieve relevant documents from an uploaded knowledge base to answer company-specific questions. Searches policies, procedures, product specs, and historical data.MIT
- List documents and web pages ingested into a knowledge store for RAG retrieval, with pagination and filtering.MIT
- Create a knowledge folder for organizing documents, enabling subsequent uploads via UI or API.MIT
- Retrieve a paginated list of organization knowledge documents. Control results with cursor and limit parameters.MIT
- Search a knowledge group for relevant documents using a query. Provide a group ID and search terms to retrieve matching results.MIT
- Search your knowledge base for documents containing specific keywords or phrases. Use full-text search across all document content and titles, with results ranked by relevance.MIT
- Validates knowledge base consistency and structural correctness. Returns quality score and per-file issue list categorized as critical, warning, or info issues.Business Source 1.1
- Classifies project repo documents by semantic similarity to generate a migration plan for moving them into the knowledge base.Business Source 1.1
- Retrieve relevant PDF chunks from your knowledge base using semantic search. Query with natural language to find cited answers from indexed documents.AGPL 3.0
- Reindex documents in the knowledge base to synchronize after manual file edits or rebuild embeddings after model upgrades.MIT
- Search test case documents in the knowledge base to check what is already covered and avoid duplicates before writing new test cases.Business Source 1.1
- Update the vector index for knowledge base documents. Re-embeds only changed files by default, or rebuild all embeddings from scratch when forcing a full reindex.Business Source 1.1
- Find OneDrive documents using semantic and keyword hybrid search to discover relevant files by topic when exact names are unknown. Returns file metadata, previews, and URLs for analysis.MIT
- Retrieve knowledge base documents by matching selected terms and labels, using AND/OR operators to refine results.MIT