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    A multi-agent research system that decomposes complex queries into targeted sub-questions, searches the web in parallel, scores source credibility, and synthesizes findings into structured markdown reports.
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    MIT
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    Researches any company in ~10 seconds using 10 data sources. Returns structured reports with bull/bear verdict for stocks, crypto, and private companies.
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    AGPL 3.0
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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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    MIT
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    A read-only Chinese legal evidence MCP server that provides deterministic retrieval of authentic legal sources with chain-of-custody receipts, designed for Codex, Claude Code, and OpenCode.
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    Apache 2.0
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    Enables AI assistants to search arXiv's research repository, download papers, and access their content programmatically. Includes specialized prompts for comprehensive academic paper analysis covering methodology, results, and implications.
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    MIT
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    Enables configuration-driven, budgeted multi-source web research across platform and web search adapters, merging duplicate links, preserving provenance, and returning honest source coverage reports.
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    MIT
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    A deep web search MCP server using LinkUp API that provides a deep_search tool for performing deep web searches with optional max results.
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    Pay-per-use API tools and LLM gateway for AI agents. 15 services (DART, Tabelog, Google Maps, Brave Search, Firecrawl, DeepL, ElevenLabs, and more) + smart LLM routing. No API keys needed, pay with USDC on Base.
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    16 npm
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  • A
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    Enables deep web search across multiple providers including Google, Bing, Brave, DuckDuckGo, and Perplexity, with support for comprehensive AI-powered research using intelligent multi-engine queries.
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    77 npm
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    MIT
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    Performs comprehensive web searches by combining Google search with advanced content extraction using Mozilla's Readability algorithm.
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    8 npm
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    MIT
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    This is a Model Context Protocol (MCP) server adaptation of LangChain Ollama Deep Researcher. It provides the deep research capabilities as MCP tools that can be used within the model context protocol ecosystem, allowing AI assistants to perform in-depth research on topics (locally) via Ollama
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    MIT
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    Enables web search and deep research capabilities through the Tavily API, allowing users to gather comprehensive information from the web with configurable search parameters and planning rounds.
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    9 npm
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    MIT
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    Provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents, offering unlimited queries with no rate limits and faster performance than comparable services.
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    79 npm
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    MIT
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    Enables conducting comprehensive research on complex topics through multi-layered analysis, automatic complexity assessment, and structured report generation with proper citations and critical analysis frameworks.
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    MIT