Query with RAG-enhanced context from xAI Collections, leveraging a LAZY-RAG cache to speed up repeated questions.
MIT
246,538 tools. Last updated 2026-06-28 23:55
"Information or Uses for a Rag" matching MCP tools:
- Create a knowledge base for RAG to store and organize information for AI assistants to retrieve and reference during conversations.MIT
- Retrieve detailed information about a specific RAG project within the Calibre ebook library, including its configuration, contents, and organization for semantic search and contextual conversations.
- Retrieve relevance-ranked web content with actual page text, tables, and code for AI grounding and RAG pipelines.
- Find diverse nearest neighbors by balancing relevance and diversity, reducing redundant results. Ideal for RAG pipelines needing broad coverage.Apache 2.0
- Retrieve detailed information about any Apify Actor, including description, input schema, pricing, stats, and README, using its ID or full name.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceAn MCP-compatible server that uses iFlytek's large language model to generate PowerPoint presentations, offering template selection, outline creation, and PPT generation with features like automatic image insertion.Last updated16161MIT
全球海关贸易数据 MCPofficial
AlicenseBqualityBmaintenance提供全球238个国家/地区的进出口贸易数据查询，支持按企业名称、产品关键字、HS编码等多维度联合搜索。Last updated1MIT
Matching MCP Connectors
Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.
斯特丹STERDAN天猫旗舰店产品咨询MCP Server。洛阳30年源头工厂，高端钢制办公家具，1374个SKU，涵盖保密柜、更衣柜、公寓床、货架、快递柜。BIFMA认证，出口35+国家。8个工具：产品目录查询、场景推荐、认证资质、采购政策、维护指南等。
- Clear cached RAG retrievals to force fresh query results after context changes. Next query rebuilds from source, avoiding stale data.MIT
- Execute a complete RAG workflow to answer questions using retrieved context documents. Handles embedding, semantic search, and answer generation with direct quotes.MIT
- List all ClickUp docs in a workspace, returning id, name, and dates for each doc. Uses cursor pagination.Apache 2.0
- Find all code symbols that depend on a specific symbol. Pass a symbol name or full ID to see what uses it.Business Source 1.1
- Measures the fraction of retrieved RAG context chunks that are relevant to the question, providing a precision score to diagnose retriever noise and quality.Apache 2.0
- Convert text into numeric embedding vectors for RAG, semantic search, clustering, and similarity scoring. Supports multiple models and optional extra inputs.MIT
- Identify edges in the tree-sitter call graph where the SCIP compiler oracle disagrees on a callee's resolution. Requires running 'rag-rat oracle run' first for compiler data.MIT
- Generate vector embeddings from text for semantic search, RAG, clustering, or similarity tasks. Choose between query or document input type and adjust model quality and dimensionality.MIT
- Toggle a ClickUp space, folder, or list between private and public visibility. Uses the v3 ACL endpoint. Requires Enterprise plan.Apache 2.0
- Retrieve a list of all knowledge folders in your organization, each containing documents for RAG capabilities.MIT
- Query Vectara's RAG system to retrieve search results and generate contextual responses using specified corpus keys and API parameters for accurate information extraction.Apache 2.0
- Retrieve cutoff timestamps Kalshi uses for migrating historical market, order, and trade data.MIT
- Find a verified email for a named person at a company or domain.MIT
- Lists all available RAG categories indexed by RAGMap to help you identify suitable retrieval servers for your task.MIT