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…
Filesystem-first MCP server for Obsidian vaults with an LLM-Wiki layer on top.
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.
Provides a secure bridge to your WhatsApp account, enabling message search, contact management, and sending capabilities while keeping all data stored locally…
Unified interface for interacting with multiple LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama with parallel prompt…
An MCP (Model Context Protocol) server that enables LLMs to interact with Cisco Intersight APIs. This server exposes Intersight operations as tools for LLM…
# Apillon MCP Server Welcome to the Apillon MCP Server repository. This project implements a server using the Model Context Protocol (MCP) to provide modules…
Provides persistent long-term memory capabilities through semantic indexing, retrieval, and search functions with support for multiple LLM providers and…
Integrates with social platforms like Farcaster to provide standardized access to user profiles, content search, thread analysis, and trending topics through…
Integrates with Supabase to persist and retrieve LLM interaction styles using emojikeys, enabling consistent personalized experiences across conversations.
A tool written in complete python following the MCP(model context protocol). LLM can leverage this tool to work with aws S3 buckets
# MCP File System Server A simple Model Context Protocol (MCP) server providing file system operations. This server offers a clean API for performing file…
A high-performance MCP server for comprehensive JSON file operations, including reading, writing, and advanced querying, optimized for LLM interactions.
A Model Context Protocol (MCP) server that exposes core Microsoft SharePoint / Microsoft Graph API functionalities as tools usable by LLM agents (e.g. Claude…