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Showing 1–24 of 29 for MCP로 RAG Application 구현하기

Docs RAG

Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings.

Inkeep

Enables Claude to search and retrieve relevant documentation through Inkeep's RAG API, returning structured citation data for technical support and…

Shared Knowledge RAG

Enables AI systems to access and retrieve information from multiple vector store backends including HNSWLib and Weaviate, providing a unified interface for…

ArcKnowledge (Custom RAG)

Bridges AI systems to custom knowledge base APIs for retrieval-augmented generation across multiple text and image sources with configurable authentication and…

Spring Application Advisor

Integrates with Spring Application Advisor to provide insights and recommendations for optimizing Spring applications in Cloud Foundry environments.

Minima

Search and retrieve context from local files for RAG.

LlamaIndex Documentation

Provides a RAG-powered query interface to LlamaIndex documentation, delivering detailed responses with code examples using LlamaCloud's managed index service

HR Policy Chatbot

Enables HR departments to provide workplace policy information through a RAG-based chatbot that indexes, retrieves, and generates answers from PDF…

GroundX RAG

Integrates with GroundX to provide document search and ingestion capabilities, enabling domain-specific knowledge retrieval without requiring direct access to…

Qdrant Docs Rag

Retrieve and process documentation using vector search to provide context for AI assistants.

PDF Search

Built for Zed to enable semantic searching of PDF documents using a Qdrant vector database and OpenAI embeddings.

WildFly

Integrates with WildFly application servers to enable monitoring, configuration, and management of server resources and performance.

Sentry Issues

Integrates with Sentry error tracking to retrieve detailed event and issue data for analyzing application exceptions and errors in development workflows.

AWS MCP Servers

This AWS Labs Model Context Protocol (MCP) server for CloudTrail enables your AI agents to query AWS account activity for security investigations, compliance…

Obsidian Tools

Integrates AI-powered tools with Obsidian for enhanced note-taking, linking, and knowledge management workflows.

Next.js API Scanner

Scans Next.js project directories to extract API route information, validation schemas, and type definitions for automated documentation and testing workflows

gotoolkits/wecombot

Integrates WeCom group messaging, enabling automated sending of diverse message types and file uploads for streamlined team communication and notifications.

Feishu (Lark)

Integrates with Feishu (Lark) to enable document retrieval, messaging, and collaborative features directly within workplace conversations through a TypeScript…

Couchbase

Interact directly with Couchbase databases on Capella clusters. Query buckets, perform CRUD operations, execute N1QL queries, and manage data seamlessly…

Cloud Foundry

Integrates with Cloud Foundry foundations to enable management of applications, services, and resources.

Excel Bridge

Bridges AI with Excel files, enabling reading from and writing to spreadsheets through standardized operations for data analysis, reporting, and document…

Bocha Search

Integrates with Bocha, a Chinese search engine, to provide web search capabilities with rich structured data from billions of documents across multiple domains…

Seq

Integrates with Seq's API for retrieving signals, events, and alert states, enabling real-time insights into application logs and system performance metrics.

Metal Framework

Integrates Metal Framework documentation search and code generation capabilities for graphics-intensive application development.