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116,557 servers. Updated
20 Best Web Search MCP Servers: compared and ranked, November 2026Ranked from 2,120 matching servers on stars, growth, downloads and maintenance. Updated .

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    An MCP server for the Trello REST API. Exposes ~36 curated tools for boards, lists, cards, checklists, labels, members, and search.
    36
    3 npm
    MIT
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    Enables interaction with PostHog analytics platform, allowing users to list projects, create annotations, and search insights through natural language in Claude Desktop.
    5
    MIT
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    Official MCP server for FeatureJet, enabling agents to read and act on customer feedback boards: list/search posts, file feature requests, and pull top-voted planned items.
    MIT
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    Enables AI assistants to search Sunex's lens and imager catalog using natural language queries. It provides tools for finding compatible lenses, sensor specifications, and product details through a public Model Context Protocol server.
    MIT
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    Enables AI agents to read-only access business intelligence in a Revinho workspace, combining Google Analytics 4, Stripe, and optionally Google Search Console to answer questions about changes, performance, revenue, underperformance, and opportunities.
    1
    MIT
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    This MCP server assists founders in customer discovery by structuring hypotheses, finding interviewees, generating call guides, and synthesizing insights to achieve product-market fit.
    35,718,967 npm
    MIT
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    Enables read-only Jira Data Center insights by default, with opt-in audited write tools, sprint and release health summaries, and structured issue search via MCP.
    44 npm
    MIT
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    Enables keyword search across source-traceable evidence chunks, listing opportunities linked to supporting evidence, and deterministic ROI calculations with model-proposed inputs and TypeScript-computed dollar figures.
    MIT
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    MCP server for noise-reduced X (Twitter) search planning and Feedback-to-Fix engineering handoffs. Enables AI agents to generate structured search plans, filter signals, and build handoff packages via MCP tools.
    1
    MIT
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    A
    maintenance
    Integrates with Aha.io product management platform, enabling offline data synchronization, semantic search, and workflow automation via natural language.
    79 npm
    6
    MIT
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    Enables Claude Code to query a trained sentiment model and Amazon Electronics review analytics through typed, read-only tools. Supports sentiment classification, statistics, keyword and similar-review search, product summaries and comparisons, negative aspect analysis, and model information.
    MIT
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    Connect your AI assistant to Featuriq — the product feedback and roadmap tool for SaaS teams. Browse top feature requests, search feedback with natural language, update statuses, notify users when features ship, and manage your roadmap — all from your AI client. Authenticates via OAuth. No manual API key setup needed.
    MIT
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    Enables Claude to read Jira CSV/JSON backlog exports, audit tickets for test readiness, and generate validated Gherkin acceptance scenarios tied to ticket criteria. It also tracks acceptance-criteria coverage and flags ambiguities or missing information for Product Owner follow-up.
    MIT
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    Enables LLM clients to answer prospect questions about Timers Studio, a professional broadcast timer platform, with first-party data on competitive positioning, use cases, personas, and recommended plans.
    MIT
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    C
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    Enables any MCP host to search and retrieve public job listings from yuancheng.work through the search_jobs and get_job tools, with read-only access and soft location filtering.
    MIT
  • F
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    E-Commerce Intelligence MCP Server — 11 tools for product search, price comparison, competitor pricing across Amazon, eBay, Google Shopping. 18 countries. Part of ToolOracle (tooloracle.io).
    -
  • F
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    Enables AI-powered duplicate checking and review of project ideas via web search, providing rated reports through the check_idea tool in MCP-compatible clients.
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    Gives AI agents live access to Apple App Store reviews: search the App Store, pull customer reviews for any iOS app, and turn them into insights like rating distribution, average rating per version, top complaint keywords, representative quotes, and side-by-side competitor comparisons.
    4
    1
    MIT
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    Pre-build reality check for AI coding agents. Scans GitHub, Hacker News, npm, PyPI & Product Hunt in parallel — returns a 0-100 reality signal with real competitor data.
    1
    93 PyPI
    828
    MIT