"A server or tool using RAG for documentation scraping, storage, and retrieval with SSE support" matching MCP servers:

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

Provides AI assistants with direct access to the complete Godot Engine documentation, including classes, tutorials, and features. It enables developers to retrieve and analyze official documentation through natural language interfaces using the Model Context Protocol.

Enables passage-level semantic search over a Zotero library by extracting, chunking, and embedding PDF text using Gemini and ChromaDB. It provides MCP tools to perform topical searches and retrieve specific document passages with surrounding context.

A minimal MCP server template that offers calculator tools, resources, and prompts for learning NitroStack fundamentals, built with TypeScript and Zod.

A comprehensive MCP server for Jira, Confluence, and Bitbucket that supports both Cloud and Data Center deployments. It provides 136 tools for managing issues, searching documentation, and handling Git workflows like pull requests and pipelines.

A multi-agent RAG MCP server that answers questions from your documents with a human-in-the-loop approval step, using a coordinator, retriever, and synthesizer agents.

MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.

A starter template for building calculator-focused MCP servers using NitroStack, including tools, resources, and prompts.

An MCP-powered AI agent that audits your Gmail for recurring subscriptions, detects silent price increases, and flags unused services.

MCP server for managing a media server stack (Plex, Radarr, Overseerr, Bazarr, Prowlarr, Trakt.tv) using natural language to browse, request, and discover content.

Enables AI applications to write and execute natural language queries on organizational data stored in DX Data Cloud's Postgres database. Runs locally and provides a query tool for AI assistants to formulate and execute database queries with user approval.

A minimal MCP server template for learning NitroStack, featuring a calculator module with tools, resources, and prompts for arithmetic operations.

Connects AI assistants directly to Obsidian vaults with intelligent note creation using templates, semantic search, smart tagging to avoid duplicates, and specialized agent roles (Guardian, Researcher, Connection Weaver) for managing knowledge bases.

A template and demonstration project for building, testing, and deploying remote MCP servers using FastMCP and uv. It provides a foundational structure for creating MCP-compliant tools that can be hosted publicly and integrated with LLM agents.

A Model Context Protocol server built with FastMCP that enables dynamic tool loading and configuration from individual Python files. It provides a flexible framework for automatically discovering, testing, and running tools via Stdio or HTTP transport modes.

A minimal MCP server template for learning NitroStack fundamentals, featuring a calculator module with tools, resources, and prompts.

Query PainSpotter to discover validated business opportunities and trending pain points mined from Reddit, Hacker News, and Product Hunt.

An open-source MCP server for live Apple App Store competitor research, enabling AI agents to search apps, fetch metadata, compare competitors, and retrieve reviews and top charts as structured JSON.

A secure MCP server that stores and retrieves API keys and credentials, featuring encrypted storage, masked retrieval, and AI-powered recommendation via MCP sampling.

Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.