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    An open-source deep research MCP server that provides multi-source web search and synthesis with citations, enabling agents to perform citation-backed research using Qwen3-30B-A3B-Thinking and other models.
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    Provides Meta and Google Ads intelligence for AI assistants, enabling users to analyze performance, track competitors, and manage ad campaigns through natural language. It features 17 tools for generating creative concepts, scraping competitor ads, and performing deep account-level analysis.
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    An MCP server that extracts complete knowledge from any codebase — architecture, patterns, dependencies, API surface. Combines static analysis with AI-powered deep interpretation.
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    Provides comprehensive Pine Script v6 documentation and tools to help AI assistants look up functions, validate syntax, and generate accurate code. It enables linting, version conversion from v5 to v6, and deep conceptual analysis to prevent code hallucinations.
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    Integrates Firecrawl for web scraping, crawling, search, and content extraction capabilities. Supports single/batch scraping, URL discovery, structured data extraction, deep research, and AI-powered web analysis with automatic retries and rate limiting.
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    Provides AI assistants with 69 tools, 19 prompts, and 21 resources for deep access to Magic: The Gathering, including card data, combos, draft analytics, Commander metagame, competitive constructed, sideboard strategy, deck building, and rules engine, working with any MCP client.
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    Context+ is a semantic intelligence server that transforms codebases into searchable, hierarchical feature graphs using RAG, Tree-sitter AST, and spectral clustering. It provides tools for deep code discovery, blast radius analysis, and memory graph management for high-accuracy engineering tasks.
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    An adversarial code verification system that uses a Verifier-Critic debate loop to systematically uncover security, correctness, and performance issues. It implements the Socratic method to provide deep semantic analysis and dialectical reasoning beyond traditional static linting.
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    Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.
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