solon-ai-mcp-embedded-examples
solon ai(&mcp) embedded examples。支持 MCP_2025_06_18(mcp streamable)。示例项目包括各种框架嵌入:(Solon、SpringBoot、jFinal、Vert.X、Quarkus、Micronaut)
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solon ai(&mcp) embedded examples。支持 MCP_2025_06_18(mcp streamable)。示例项目包括各种框架嵌入:(Solon、SpringBoot、jFinal、Vert.X、Quarkus、Micronaut)
This is our final project , in this we have utlized langgraph coupled with various mcp server mounted of fastapi using fastmcp to create mutlifaceted…
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# Spring AI MCP Intacct Query STDIO Server A Spring Boot starter project demonstrating how to build a Model Context Protocol (MCP) server that provides Sage…
Spring AI Apps Project is a Spring Boot application that demonstrates integrating AI capabilities using the Spring AI framework. It provides a reference…
# Spring Boot MySQL Project This is a Spring Boot project configured with MySQL and HikariCP connection pool. ## Prerequisites - Java 17 or later - Maven 3.6…
Find your files with natural language and ask questions.
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…
The repository SMMS creates an MCP server for instance-level semantic maps and provides a series of functional modules for 3D instance objects in semantic maps.
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…
Integrate web crawling and Retrieval-Augmented Generation (RAG) into AI agents and coding assistants.
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…
AI-Ready Data & Context Engineering API. Connect any data source — PostgreSQL, CRMs, APIs — and get clean, structured, AI-ready data in seconds. Natural…
Forge is Voxell's hosted text-embedding API. This MCP server exposes two tools — embed (turn text into vectors) and list_models — so any MCP-compatible agent…