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    Enables reading and sending messages in Google Messages for web through a paired Chrome tab using chromefile, with tools for status, listing conversations, reading message history, and sending texts.
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    MIT
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    Enables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.
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    MIT
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    MCP server that lets AI coding agents (Claude Code, Cursor, Cline) audit Supabase projects for security misconfigurations AND apply the fixes — without leaving the agent. Tools: audit_project, list_findings, preview_fix (BEGIN/ROLLBACK safety), apply_fix (with confirmation), apply_all_fixes (transactional bulk). Closes the audit-fix loop entirely in the agent — other Supabase scanners only report.
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    3 npm
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    An MCP server that provides deep schema introspection for Supabase/Postgres, exposing tables, columns, views, enums, RLS policies, functions, and more.
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    MIT
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    Enables auditing a Supabase project's security beyond the dashboard's Security Advisor, checking anonymous access, RLS policies, and cross-tenant data leaks via read-only probes and a two-account test.
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    15 npm
    MIT
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    Gives Claude read-mostly, row-level-security-aware access to a Supabase or plain Postgres database through tools for inspecting roles, listing and describing tables, selecting and counting rows with structured filters, plus opt-in read-only SQL and single-row inserts. Every call runs in a read-only transaction under the anon or authenticated role with JWT claims set, so RLS policies, schema allowlists, row caps and statement timeouts apply exactly as they would for a real client.
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    MIT
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    Enables LLMs to interact with Supabase services including Database, Auth, Storage, and Edge Functions through the Model Context Protocol. It provides tools for CRUD operations, user management, file storage, and invoking functions.
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    A Model Context Protocol (MCP) server that provides programmatic access to the Supabase Management API. This server allows AI models and other clients to manage Supabase projects and organizations through a standardized interface.
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    33 npm
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    A local MCP server that gives Claude Code web search capabilities using DuckDuckGo, enabling discovery of URLs from natural language queries.
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    Enables web search and web fetch operations using Ollama's hosted APIs, allowing MCP clients to search the web and retrieve page content.
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    28 PyPI
    MIT
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    Enables reading Slack channels, messages, and threads using the web interface via a persistent browser session, designed for guest users without API access. Does not send messages.
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    MIT
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    Odysseus Web MCP is a standalone Model Context Protocol (MCP) server for safe public-web search and URL fetching.
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    MCP server that lets AI editors execute JavaScript, read console output, and simulate clicks/input on static web pages. Supports multiple browser pages and can be deployed remotely via HTTP transport.
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    15 npm
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    Apache 2.0
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    Enables AI-assisted user feedback collection and management via a web interface, with MCP integration for automated replies and tool execution.
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    17 npm
    MIT
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    MCP server for web page fetching (converting to Markdown/text with automatic fallback between Tavily and Firecrawl) and web search via Tavily.
    2
    MIT
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    An MCP server that enables AI assistants to perform web searches on Perplexity.ai using browser automation instead of an official API. It supports persistent authenticated sessions and returns search results along with cited sources directly to the client.
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    42 npm
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    Provides web search and content extraction tools for AI assistants, with zero configuration and swappable backends.
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    31 npm
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    Enables a locally-run LLM to search the web, fetch pages as markdown, make arbitrary HTTP requests, and optionally render pages with headless Chromium.
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    Gives AI agents local web search and page reading with no API keys, layering a SearXNG-backed search cache with browser-based fallbacks and returning clean page text from HTML, PDF, JSON, and archived snapshots. Fetches run in Docker alongside the search engine with SSRF protection, egress filtering, and untrusted-content marking so agents can safely retrieve live web data.
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    MIT