Docs RAG
Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings.
Directory
Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings.
Enables Claude to search and retrieve relevant documentation through Inkeep's RAG API, returning structured citation data for technical support and…
Enables AI systems to access and retrieve information from multiple vector store backends including HNSWLib and Weaviate, providing a unified interface for…
Bridges AI systems to custom knowledge base APIs for retrieval-augmented generation across multiple text and image sources with configurable authentication and…
Search and retrieve context from local files for RAG.
Provides a RAG-powered query interface to LlamaIndex documentation, delivering detailed responses with code examples using LlamaCloud's managed index service
Enables HR departments to provide workplace policy information through a RAG-based chatbot that indexes, retrieves, and generates answers from PDF…
Integrates with GroundX to provide document search and ingestion capabilities, enabling domain-specific knowledge retrieval without requiring direct access to…
Rust-powered PDF toolkit over MCP: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split/merge/rotate/reorder pages…
AI-first file sharing and collaboration. 251 MCP tools give agents a full workspace: file storage, branded shares, comments, workflows, and built-in RAG. Free…
# MCP File System Server A simple Model Context Protocol (MCP) server providing file system operations. This server offers a clean API for performing file…
Retrieve and process documentation using vector search to provide context for AI assistants.
Built for Zed to enable semantic searching of PDF documents using a Qdrant vector database and OpenAI embeddings.
Integrates with Inkdrop's note-taking application to enable searching, reading, creating, and updating Markdown notes directly within conversations through…
Transforms compressed log files into a queryable SQLite database with tables for logs, stack traces, and errors, enabling efficient analysis and…
# Apillon MCP Server Welcome to the Apillon MCP Server repository. This project implements a server using the Model Context Protocol (MCP) to provide modules…
This AWS Labs Model Context Protocol (MCP) server for CloudTrail enables your AI agents to query AWS account activity for security investigations, compliance…
A lightweight MCP server for interacting with the Windows Operating System.
Supabase is an open source Firebase alternative built around Postgres, auth, storage, edge functions, and project tooling. Its remote MCP server connects…
Scans Next.js project directories to extract API route information, validation schemas, and type definitions for automated documentation and testing workflows
# Sample S3 Model Context Protocol Server An MCP server implementation for retrieving data such as PDF's from S3. ## Features ### Resources Expose AWS S3 Data…
Integrates WeCom group messaging, enabling automated sending of diverse message types and file uploads for streamlined team communication and notifications.
Integrates with Feishu (Lark) to enable document retrieval, messaging, and collaborative features directly within workplace conversations through a TypeScript…
Launch and manage macOS applications. List installed apps, launch them by name, or open files with specific apps.