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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
    11
    -
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    Provides secure access to Supabase databases via PostgREST API and management tools for projects, schemas, branches, logs, and code generation.
    MIT
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    Enables Cursor and Windsurf to safely interact with Supabase databases by providing tools for database management, SQL query execution, and Supabase Management API access with built-in safety controls.
    10
    Apache 2.0
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    An MCP server enabling AI assistants to perform CRUD operations on a Supabase database via a standardized interface.
    194
    MIT
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    HandaaS的MCP服务器,提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力,帮助用户开展行业研究和舆情分析。
    2
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    This server enables interaction with Supabase PostgreSQL databases through the MCP protocol, allowing seamless integration with Cursor and Windsurf IDEs for secure and validated database management.
    12
    832
    Apache 2.0
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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.
    13
    3
    MIT
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    Enables interactive feedback with image support in Cursor, allowing users to paste images for visual context and feedback.
    1
    8
    MIT
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    Enables secure interaction with Supabase databases via the PostgREST API, supporting full CRUD operations and stored procedure calls. It utilizes the Dedalus MCP framework to provide encrypted credential handling and just-in-time token exchange.
    4
    MIT
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    Enables AI assistants to interact with Supabase databases through standardized CRUD operations including querying, inserting, updating, and deleting records with support for filtering, pagination, and column selection.
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    Implements the Model Context Protocol to provide LLMs with tools for interacting with Supabase databases, supporting operations like reading, creating, updating, and deleting records with filtering and pagination capabilities.
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    Enables AI assistants and other MCP clients to launch and steer Cursor Cloud Agents on repositories or as repo-less research tasks, including model selection, mid-run follow-ups, cancellation, result retrieval, and run listing. Also exposes authentication checks and per-agent or per-run token usage and cost reporting.
    9
    MIT