"Understanding Requirement Analysis" matching MCP servers:

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

This server lets users submit natural-language requirements, screenshots, or Excel files and receive grounded asset-matching recommendations, with an agentic loop that judges sufficiency, iteratively corrects its own search, and explicitly reports when no asset can support a request. It supports interactive feedback, multi-turn refinement, and integration through Web, REST, and MCP.

A read-only MCP server for exploring and analyzing a Secoda data catalog, enabling AI chat, semantic search, glossary browsing, and data lineage tracing.

Enables analysis of YouTube videos using the Gemini API to generate summaries and answer specific questions via direct URLs. It supports standard videos and shorts, allowing users to interact with video content without requiring manual downloads.

Provides access to real-time LLM pricing, speed metrics, and performance benchmarks for over 300 models from Artificial Analysis. It enables users to list, filter, and compare models based on costs, tokens per second, and intelligence indices.

Enables intelligent web searching using SearXNG with content crawling via Creeper, then summarizes webpage content using LLM to avoid token limit issues. Supports smart filtering with domain blacklist/whitelist and optional LLM-based relevance filtering.

Facilitates semantic analysis of chat conversations through vector embeddings and knowledge graphs, offering tools for semantic search, concept extraction, and conversation pattern analysis.

Provides access to real-time and historical Indian stock data via Yahoo Finance API, enabling local LLMs to retrieve stock information through MCP-compatible agents like Claude Desktop and Cursor.

Offers real-time stock prices, sector and historical analysis, top performers for NSE and global markets, plus stock-specific and general market news with intelligent caching and fallback data.

Enables to search, analyze, and export Douyin (TikTok China) video and user data, including interaction metrics, content length, and keyword trends.

Allows Claude and other MCP clients to access real-time and historical stock market data from Alpha Vantage API, including intraday and daily stock data with customizable intervals.

Provides tools for fetching real-time news and performing AI-powered sentiment analysis and summarization using Mistral AI. It enables users to analyze news trends and extract structured insights through natural language queries.

Enables LLMs to read and write Discord messages, search content, and compute channel statistics via a Discord bot.

Provides comprehensive stock analysis tools including chip distribution, pattern detection, trend reversal analysis, company fundamentals, and market scanning for bullish/bearish signals using Yahoo Finance and FMP data.

A Model Context Protocol server that provides stock technical analysis tools (moving averages, RSI, trade recommendations) for AI assistants to analyze stocks and offer trading signals.

Enables comprehensive stock market analysis with portfolio management, technical indicators, dividend tracking, sector analysis, risk metrics, and price alerts. Provides real-time stock data, trend analysis, and investment insights through natural language interactions.

Enables quantitative trading analysis with 12 tools for real-time market data, 28+ technical indicators, FinBERT-powered news sentiment analysis, and automated trading signal generation for stocks and forex.

An MCP server that provides real-time stock data, technical indicators, and financial metrics using the date.590.net data source. It enables AI-powered intelligent analysis and batch reporting through integration with the Deepseek API.

A Model Context Protocol server that provides document analysis capabilities to LLM applications, including extraction, chunking, summarization, and semantic search for PDF, DOCX, and plaintext documents.

Enables users to optimize LLM responses using Monte Carlo Tree Search (MCTS) through a Model Context Protocol server, enhancing conversation quality by exploring multiple response branches and selecting the best path.