南哥AGI研习社-MCP系列
南哥AGI研习社-MCP系列是一套大模型应用开发教学资源,聚焦MCP(Model Context Protocol)协议的实操演示。它通过视频教程和配套代码文件夹,教授如何配置和使用高德地图MCP Server、自定义MCP Server、MySQL MCP…
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南哥AGI研习社-MCP系列是一套大模型应用开发教学资源,聚焦MCP(Model Context Protocol)协议的实操演示。它通过视频教程和配套代码文件夹,教授如何配置和使用高德地图MCP Server、自定义MCP Server、MySQL MCP…
Spring Boot AI is a sample application demonstrating how to build an AI agent using Spring AI, the Model Context Protocol (MCP), and Retrieval Augmented…
# GemFireMCPServer A Spring Boot–based Model Context Protocol (MCP) server that uses VMware GemFire and Spring AI to enable fast, vector-based search over…
Cryptographic AI governance and audit. 18 tools, 28 frameworks. EU AI Act, NIST AI RMF, OWASP Agentic Top 10, CMMC, SR 11-7, ISO 42001. Tool policy gates…
# Paychex MCP Server This project is a demonstration MCP (Machine Context Protocol) server that interacts with the Paychex Developer API documentation. It…
# MCP Servers Hub ⭐ <div align="center"> <img src="assets/mcp-hub-banner.png" alt="MCP Servers Hub Banner" width="800px">…
# Flexible Key-Value Extracting MCP Server Version: 0.1.0 This MCP server extracts key-value pairs from arbitrary, noisy, or unstructured text using LLMs…
# jsboige-mcp-servers Collection de serveurs MCP (Model Context Protocol) pour étendre les capacités des modèles de langage (LLM)…
# 🧠 OSDR MCP Server + Agents This repo demonstrates how to integrate MCP agents with custom tools for interacting with NASA’s Open Science Data Repository…
A Retrieval-Augmented Generation (RAG) server for document processing, vector storage, and intelligent Q&A, powered by the Model Context Protocol.
A server for Retrieval Augmented Generation (RAG), providing AI clients access to a private knowledge base built from user documents.
Agentic RAG over your own documents on an embedded LanceDB, no database server to run. Hybrid search with reranking, Docling parsing for PDFs and 40+ formats…
A managed Retrieval-Augmented Generation (RAG) server using MCP, integrated with knowledge bases and OpenSearch.
A lightweight Python server for Retrieval-Augmented Generation (RAG) using AWS Lambda. It retrieves knowledge from external data sources like arXiv and PubMed.
A RAG-based Q&A server using a vector store built from Gemini CLI documentation.
Privacy-first local RAG server for semantic document search without external APIs
A healthcare-focused RAG server using Groq API and Chroma for information retrieval from patient records.
A local RAG backend powered by Docker Compose, supporting various document formats for search.
Bridges AI systems to custom knowledge base APIs for retrieval-augmented generation across multiple text and image sources with configurable authentication and…
Sifter extracts structured, typed records from your documents (PDFs, scans, contracts, invoices) using a natural-language field spec, then lets an agent query…
mcp-server-python is an Inkeep‑powered MCP server that lets you query your product documentation and content using a conversational search tool. It is intended…
FinanceGenius.AI is India's first AI-native financial product MCP server. 15 read-only tools that any MCP-compatible AI client (Claude Desktop, Cursor…
Integrates with Pixeltable for multimodal data indexing and querying. Provides multiple server implementations for audio, video, images, and documents…
Make any website queryable by AI agents — index any site, ask questions, get cited answers via RAG