Look up how to use any CrewAI feature, tool, or pattern by querying the internal documentation RAG engine. Returns relevant snippets with source URIs.
MIT
222,458 tools. Last updated 2026-06-21 19:05
"Using RAG to Provide Documentation to LLMs" matching MCP tools:
- Retrieves documentation from a specified GitHub repository to generate prompts for LLMs.Apache 2.0
- Fetch Next.js documentation by path, using the documentation index to find the correct path.MIT
- Convert PDFs to markdown, token-limited chunks for LLMs, or semantic RAG chunks optimized for pipeline retrieval.MIT
- Search uploaded documents using RAG to find answers with citations. Ask questions to retrieve information from your knowledge base.MIT
- Get answers to questions by retrieving relevant information from wiki content using RAG technology.MIT
Matching MCP Servers
- -license-quality-maintenanceAI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.Last updated
- AlicenseAqualityAmaintenanceMCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.Last updated1046Apache 2.0
Matching MCP Connectors
Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
Daily world briefing that tells AI assistants what's actually happening right now. Leaders, conflicts, deaths, economic data, holidays. Updated daily so they stop getting current events wrong.
- Download entire documentation websites for offline RAG indexing by providing a URL, enabling configurable depth and asset capture.MIT
- Get answers to questions by retrieving relevant information from wiki content using RAG technology.
- Retrieve relevance-ranked web content with actual page text, tables, and code for AI grounding and RAG pipelines.
- Get AI search volume and trends for keywords to understand visibility in ChatGPT and other LLMs.MIT
- Find diverse nearest neighbors by balancing relevance and diversity, reducing redundant results. Ideal for RAG pipelines needing broad coverage.Apache 2.0
- Search Apify and Crawlee documentation with full-text queries. Specify the source to find relevant pages and content snippets.MIT
- Fetch official Next.js documentation by path. Obtain the path from the documentation index first, then use this tool to retrieve the docs.MIT
- Execute a complete RAG workflow to answer questions using retrieved context documents. Handles embedding, semantic search, and answer generation with direct quotes.MIT
- Access Tenzir documentation to understand TQL operators, functions, and tutorials before implementing cybersecurity data workflows.Apache 2.0
- Retrieve a categorized list of KCL documentation topics including language, standard functions, types, constants, and modules.MIT
- Find Amazon Business API documentation using natural language queries. Search across API schemas, authentication guides, implementation examples, and troubleshooting resources to get relevant documentation snippets for integration development.Apache 2.0
- Retrieve accurate Kubernetes documentation for kubectl commands, API objects, manifests, and version-specific features using a trusted, version-aware index to reduce hallucinations.MIT
- Retrieve complete Amazon Business API documentation content using document references from search results. Access full API references, implementation guides, and detailed endpoint information for integration development.Apache 2.0
- Retrieve a list of all knowledge folders in your organization, each containing documents for RAG capabilities.MIT