Ask questions to a RAG knowledge base and retrieve grounded answers with source citations.
MIT
675,138 tools. Updated 2026-10-19 04:22
"A server to build a knowledge base of Node.js packages with RAG search functionality" matching MCP tools:
- Search your imported documents to retrieve relevant answers and information from the OpenMemory RAG knowledge base.MIT
- Scrape a public URL to create a searchable knowledge base. Extracts content from web pages (including JavaScript-rendered), chunks it, and indexes for RAG.MIT
- Connect knowledge bases to an agent to enable RAG-powered, grounded answers. Replaces all current attachments, so pass the complete list of knowledge base IDs.MIT
- Create a searchable knowledge base from plain text, automatically chunked and indexed for RAG retrieval. Ideal for FAQs, product specs, and policies.MIT
- List available data sources in the MongoDB Assistant knowledge base to locate search filter parameters for targeted knowledge queries.Apache 2.0
Matching MCP Servers
- AlicenseAqualityCmaintenanceA knowledge base MCP server that aggregates team knowledge from multiple sources into Postgres. It provides hybrid search (full-text + vector + RRF) via MCP tools, and enables direct recording of decisions, learnings, and pitfalls.151MIT
- AlicenseAqualityDmaintenanceMCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.11MIT
Matching MCP Connectors
- Knowledge BaseOAuth
A searchable knowledge base your assistant reads and writes.
Indicative UK skip hire prices by town, council skip permit rules and skip size recommendations.
- Search Symbols documentation with natural language queries to find relevant information and answers. Get source references from the knowledge base.Creative Commons Attribution Non Commercial 4.0 International
- Create a build on AlmaLinux Build System for selected platforms and packages, with options for branches, tags, or SRPM URLs.GPL 3.0
- Retrieve a list of all knowledge folders in your organization, each containing documents for RAG capabilities.MIT
- Search your knowledge base and persistent memories via hybrid semantic search. Retrieve relevant memory entries with natural language queries to answer questions and recall information.Apache 2.0
- Ask a question in natural language and receive a grounded answer with cited sources from the knowledge base.MIT
- Create a searchable knowledge tool for retrieving documents. Integrates selected knowledge folders into a custom tool for RAG-based document search.MIT
- Search the TimeBase logs knowledge base with a log excerpt, stack trace, or error text to find relevant troubleshooting matches.Apache 2.0
- Recursively scans a directory for indirect prompt injection payloads in files like RAG knowledge bases or scraped pages, skipping node_modules, .git, dist, and binary files.MIT
- Add knowledge entries to a RAG system to store insights, tips, and best practices. Categorize and tag them for efficient retrieval.MIT
- Delete a knowledge entry from RAG using its ID to remove outdated or incorrect information from the knowledge base.MIT
- Retrieve a paginated list of A/B test experiments with search functionality to filter by name, description, or experiment key, enabling streamlined data access and analysis.MIT
- Retrieve a paginated list of in-app messages with search functionality to locate messages by name, description, or campaign key, enabling efficient management of A/B test messages.MIT
- Retrieve paginated push message lists with search functionality to filter by name, description, or campaign key. Simplifies fetching and managing A/B test data in Hackle MCP.MIT
- Query your knowledge base with RAG-powered chat, multi-modal context, token optimization, and full document access to get comprehensive answers.MIT
- Automate macOS apps by searching a knowledge base of AppleScript/JXA tips. Find pre-built, runnable scripts to solve your automation task.MIT