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"How to roast user activity on Instagram" matching MCP servers:

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    Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.
    1
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    MIT
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    MCP server for downloading Instagram content (videos, reels, audio, carousels) using yt-dlp, with tools for downloading media and fetching metadata. Supports stdio and HTTP transports.
    MIT
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    Instagram publishing MCP server using official Graph API, supporting single image and carousel posts, publishing limits, and token refresh. Works with any MCP client over stdio or HTTP.
    AGPL 3.0
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    Enables AI assistants to interact with Instagram by scraping profiles, posts, reels, DMs, and business insights through a robust, DOM-agnostic browser orchestration engine that bypasses Instagram's anti-automation measures.
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    Apache 2.0
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    Enables interaction with Slack workspaces as a user, supporting channel listing, message posting, threading, reactions, and user management via the Slack API.
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    MIT
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    MCP server for Majico.xyz that enables coding agents to read (and limited write) brand guidelines, design tokens, studio canvas, and export manifests.
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    MIT
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    Provides tools to fetch public Instagram profile metadata and recent posts without authentication, using an anonymous Instaloader patch with fallback to mobile feed endpoints.
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    Enables AI assistants to read, send, and manage Instagram direct messages, including viewing conversations, sending DMs to users, reacting to messages, and searching for users by username.
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    Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
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    MIT
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    Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.
    28
    MIT
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    A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.
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    MIT
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    Automatically converts Swagger/OpenAPI specifications into dynamic MCP tools, enabling interaction with any REST API through natural language by loading specs from local files or URLs.
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
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    27
    Apache 2.0