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    Enables web search for the pi coding agent using z.ai GLM native search with a DuckDuckGo fallback.
    25,756 npm
    MIT
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    An MCP server that enables web search capabilities using OpenAI's o3 model, allowing AI assistants to perform text-based web searches and return AI-powered results.
    1
    61 npm
    286
    MIT
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    Enables MCP clients to connect to Exa for web search, retrieving URL contents, deep cited-answer search, and research-agent runs. It provides Exa search, content, and research tools with filtering, structured output, and cost reporting.
    5
    MIT
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    Enables AI-powered web searches using Google's Gemini 2.5 models with Google Search Grounding. Supports multiple Gemini models (Flash, Flash-Lite, Pro) with configurable thinking budget and web search capabilities.
    1
    7 npm
    2
    MIT
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    Exposes SearXNG web search and query autocomplete to AI clients, returning ranked results, instant answers, and suggestions with filters for category, language, time range, engines, page, and safe search. It is distributed via npx and requires a self-hosted SearXNG instance with the JSON format enabled.
    2
    8 npm
    MIT
  • A
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    A semantic router that enables discovery, management, and execution of tools across multiple MCP servers using natural language.
    14 PyPI
    MIT
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    Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.
    Apache 2.0
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    A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.
    38
    Apache 2.0
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    Enables MCP clients that lack built-in search — such as Claude Code through Bedrock or local LLM clients — to run web queries against Amazon's operated search index via a Gateway deployed in your own AWS account, with queries never leaving AWS and citation URLs preserved. Supports IAM/SigV4, Cognito, and API key authentication, per-gateway rate limits, IP and domain restrictions, and result filtering by domain and publication date.
    MIT
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    Enables autonomous web agents to prune raw HTML into accessibility-friendly semantic trees with 80%+ token reduction, auto-map form input schemas, convert HTML/Markdown tables into type-inferred JSON records, and score agent execution trajectories. Runs as a zero-dependency, stdlib-only MCP stdio server for Claude Desktop, Cursor, and Windsurf.
    7
    MIT
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    Enables AI agents to delegate simple text subtasks such as summarising, translating, classifying, extracting, and reformatting to free web AIs through the user's own Edge/Chrome browser, returning only plain-text answers to save the main model's context and tokens.
    MIT
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    Enables AI agents to access and act on web, desktop, and mobile interfaces via semantic accessibility trees, using MCP tools for querying, navigating, and executing deterministic UI actions without relying on screenshots or pixel coordinates.
    13 npm
    Apache 2.0
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    Replaces DSH's built-in web_search with pluggable MCP search backends such as Tavily, Brave, Exa, Perplexity, DuckDuckGo, or custom HTTP/stdio servers. Users configure providers in the settings UI with secure credential references, while the model keeps calling the native web_search tool.
    MIT
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    A Multi-Agent Conversation Protocol Server that interfaces with the Exa Search API, allowing agents to perform semantic search operations through a standardized protocol.
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  • F
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    Enables AI assistants to perform basic and advanced web searches through the Exa API, returning real-time Markdown-formatted results with titles, URLs, publication dates, and content summaries. Supports filtering by domains, required text, and date ranges for more targeted searches.
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  • F
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    Enables AI assistants to run basic and advanced web searches through the Exa API, with filtering by domains, required text, and date ranges. Returns real-time, markdown-formatted results including titles, URLs, publication dates, and content summaries.
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  • F
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    Enables AI assistants to perform basic and advanced web searches through the Exa API, returning real-time Markdown-formatted results with titles, URLs, publication dates, and summaries.
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  • F
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    Enables AI assistants to run basic and advanced web searches through the Exa API, with filtering by domains, required text, and dates, and returns real-time Markdown-formatted results including titles, URLs, publication dates, and content summaries.
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  • F
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    Integrates real-time web search into AI assistant frameworks through the Exa API, returning Markdown-formatted results with titles, URLs, publication dates, and content summaries. Supports both basic queries and advanced searches with filtering by domain, required text, and date range.
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