"Spring Boot" matching MCP servers:

An MCP server that ingests Spring Boot REST microservices from GitHub, builds a request-flow ontology, and enables natural-language queries about code with flow-aware answers and citations.

Spring AI Playground is a self-hosted web UI platform for building low-code tools and dynamically exposing them via built-in MCP server for AI agents.

Agent-agnostic persistent memory backend. 13 MCP tools, Supabase + Jina embeddings, multi-profile isolation, semantic recall across sessions.

Query 237 features from Shopify's Spring '26 Edition with per-claim trust ratings (primary docs vs. marketing) through any AI agent — local or hosted.

Provides AI assistants a local, hybrid semantic+keyword memory vault to save research findings, notes, and project context, and recall them across sessions with session boot/save tools.

a self-hostable Java/Spring Boot service for source-grounded chunk validation and three-agent deliberation (proposer / critic restricted to macro view / synthesiser). Differentiator vs the existing entries: lets you analyse and audit papers you've ingested rather than just searching external sources. Apache 2.0, BYO OpenAI-compatible LLM.

Enables local literature workflows by searching arXiv, retrieving paper metadata, downloading and parsing PDFs, and retrieving page-cited body evidence for Q&A. It also exposes usage resources and templates for searching, analyzing, and summarizing papers via stdio MCP.

Enables zero-hallucination retrieval over local documents using hybrid semantic and keyword search, ensuring answers are based solely on provided PDFs.

MCP for Scorable Evaluation Platform

Provides AI assistants with intelligent access to ML textbook content for creating accurate, source-grounded documentation using local models for privacy and cost efficiency.

A Model Context Protocol (MCP) server that provides AI-powered customer support using Cursor AI and Glama.ai integration.

It lets MCP clients such as Claude Desktop ask natural-language questions about the Model Context Protocol and get grounded answers with reranking, semantic caching, guardrails, PII masking, and hallucination detection.

Enables web search via Brave Search API with freshness filters, full page content fetching, and usage tracking. Designed for Claude integration.

Enables semantic search over the CCI Black Book, a scanned grow manual, retrieving both text and visual content with cited evidence packs for AI assistants.

Provides AI assistants with intelligent access to ML textbook content through RAG-powered search, chapter retrieval, and documentation generation capabilities. Uses local models for privacy-focused, source-grounded responses from indexed technical books.

Enables users to search and explore a bookstore catalog including books, authors, categories, stock, prices, and recommendations through natural language.

Enables querying company knowledge base using RAG, providing accurate answers from internal documents via MCP.

Enables local RAG orchestration with MCP, providing context retrieval, in-memory text ingestion, explicit tool invocation, and transport-neutral tool discovery.

MCP server for processing raw book notes into structured, searchable knowledge using embeddings and semantic search.

Enables users to query weather, perform web research, and manage a graph database through natural language.