"Enhancing Prompt Engineering with MCP" matching MCP servers:

This MCP server enables searching Korean construction standards (KDS/KCS), laws from the Ministry of Government Legislation, administrative rules and interpretations, and optionally local water/wastewater design manuals to generate grounded evidence packages for engineering answers.

Lets MCP hosts search the public Image3 GPT Image 2 prompt gallery, fetch complete prompts, list categories, and turn rough ideas into structured prompt briefs.

Enables searching the public C Dance AI prompt gallery, inspecting complete prompts, comparing production workflows, and turning rough ideas into structured video prompt briefs.

MCP server for community-driven prompt voting and discovery — submit, upvote, and find the best AI prompts.

Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.

Enables users to interact with PostgreSQL databases through natural language, with GitHub OAuth authentication and role-based access control.

Enables AI assistants to index, search, and retrieve engineering documentation, architecture, standards, and knowledge from the OpenHaus Engineering System via the Model Context Protocol.

An MCP server for integrating with the Brave Search API, and it supports HTTP proxying.

A Model Context Protocol server that enhances LLM capabilities by connecting to Wikipedia, internet search (Tavily), and financial data (Yahoo Finance) tools, enabling contextual responses to user queries.

Custom MCP server for NotebookLM that adds audio source upload, YouTube source ingestion, source readiness polling, and transcript export, complementing standard Q&A and audio overview tools.

Searches knowledge from the GPTers AI study community with filtering by date, author, and board.

Enables searching and discovering machine learning papers, state-of-the-art benchmarks, tasks, datasets, methods, and leaderboards from Papers with Code. Supports mapping papers to their benchmark results and browsing evaluation tables.

Enables semantic search and reading of Obsidian Markdown notes through read-only MCP tools, allowing Claude to retrieve relevant passages from a local vault.

An MCP server that exposes real-time financial data tools for stock search, company info, historical prices, and financial metrics from Yahoo Finance, enabling AI agents to answer natural-language questions about stocks and financial markets.

Enables AI models to manage a Drupal-shaped content store over MCP, including nodes, vocabularies, terms, tag filtering, and trigram/semantic search, while logging every tool call for observability.

MCP server for SAP S/4HANA Sales Order Management that enables natural language queries for sales orders, order details, and line items using SAP's public sandbox API. Built with offline testing, structured errors, and retry policies.

Enables LLMs to perform sophisticated web searches through proxy servers using Tavily's API, supporting comprehensive web searches, direct question answering, and recent news article retrieval with AI-extracted content.

StackMap MCP (http://stackmap.shipwithai.xyz)

Enables AI-powered resume scoring and feedback through secure Google OAuth authentication. Provides FastAPI endpoints for resume evaluation with plans for leaderboard visualization and competitive scoring features.

Connects Bear Notes to AI assistants using semantic search and RAG (Retrieval-Augmented Generation), allowing AI systems to access and understand your personal knowledge base through meaningful search rather than just keyword matching.