"A server for searching YouTube" matching MCP servers:

A Model Context Protocol (MCP) server that enables searching AWS Black Belt Online Seminars and retrieving their transcripts.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

A Model Context Protocol server that converts diverse file types, including PDFs, images, audio, and Office documents, into Markdown format. It also transforms web content like YouTube transcripts and Bing search results into readable text for model consumption.

A lightweight MCP server for searching SmugMug documentation and calling the live SmugMug API.

Provides AI assistants with locally bundled tools to explore NIST OSCAL models, retrieve schemas, list community resources, and generate valid OSCAL templates for governance, risk, and compliance workflows.

A Model Context Protocol (MCP) server built with FastMCP that provides tools for web scraping and documentation searching.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

MCP server for SAP CAP that enables AI-assisted development by searching CDS model definitions and CAP documentation.

Enables searching and managing a documentation index, including searching libraries, resolving versions, indexing from URLs or local files, refreshing content, and removing entries.

Helps migrate projects from AI SDK 4.x to 5.0 by generating a migration checklist and searching the official migration guide for code and data changes.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

MCP server for Confluence Cloud that enables searching, reading, managing documentation and linting for best practices.

Enables Language Models to interact with Notion workspaces through standardized tools for searching, reading, creating, and updating pages and databases.

A document-based MCP server that supports keyword searching and content retrieval from official website documentation.

Enables AI assistants to interact with OpenAPI documents for analysis, validation, and management through structured interfaces.

Local MCP server for searching your ALLDATA repair subscription using your browser session, enabling AI agents to access labor times, procedures, TSBs, DTCs, and wiring diagrams.

Provides AI assistants with access to Linux man pages for searching, retrieving, and exploring system documentation.

A TypeScript MCP server for querying React component documentation, searching articles, and managing development rules, designed to work with Cursor or other MCP clients.

Exposes multiple local documentation folders to AI assistants via tools for listing, reading, and searching files across namespaces.