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    Enables social media account management including content calendars, posting cadence, captions, hashtags, engagement strategies, metrics interpretation, and client reporting.
    8
    43 npm
    1
    MIT
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    A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.
    8
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    AGPL 3.0
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    media-gen renders Claude-authored content — SVG markup, HTML documents, or a JavaScript canvas draw() function — into PNG/JPEG/WebP images and MP4 video using headless Chromium and ffmpeg, with no API keys required. It also offers an optional bring-your-own-key path for photorealistic text-to-image and text-to-video generation via OpenAI, Gemini, or fal.ai.
    3
    MIT
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    An MCP server for image and video processing that allows AI assistants to resize, convert, compress, and analyze media files locally without API keys. It supports a wide range of formats and provides tools for tasks such as metadata removal, frame extraction, and video conversion.
    13
    110 PyPI
    5
    MIT
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    A local MCP service for safely preparing, validating, and executing multi-platform social media auto-publishing, with dry-run mode and real adapter for Douyin.
    6
    1
    MIT
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    AI-powered social media posting across 14 platforms. Post to Twitter, Instagram, TikTok, Facebook, LinkedIn, YouTube and more with one command. AI adapts content per platform, schedules posts, and generates 30-day content calendars.
    6
    MIT
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    An MCP server for cross-platform social media research that enables scraping, semantic search, and analysis across seven major social platforms. It uses Apify for data retrieval and stores results in a local database for AI-powered trend detection and profile analysis.
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    A Model Context Protocol (MCP) server that empowers LLMs to search across specific social media platforms using the industry's best search engines.
    1
    MIT
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    Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.
    8
    MIT
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    Enables users to turn beats or topics into a ready media list by finding recent news articles, reading their bylines, and returning one row per journalist with name, outlet, author page, article count, latest article, and proof links. Runs the work on Apify and supports filters for date range, country, language, outlet domains, and minimum article counts.
    1
    329 npm
    MIT
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    Enables monitoring Google News for companies, brands, people, or topics, returning one row per article with headline, outlet, date, publisher URL, and a headline sentiment label. Supports watch-list state keys so repeat calls surface only articles that haven't been returned before, with a free summary row explaining empty runs.
    1
    273 npm
    MIT
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    Enables image generation and editing, video generation and extension, status polling, and download through the Kenari.id media APIs, saving outputs as files on disk.
    8
    MIT
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    MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.
    8
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    Unified MCP server for Gemini media generation --Nano Banana (images), Veo 3.1 (video), TTS, and Lyria 3 (music). Single Go binary, 12 tools, supports Gemini API key and Vertex AI.
    14
    10
    Apache 2.0
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    A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.
    16
    32 PyPI
    2
    MIT
  • F
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    MCP server providing X/Twitter and Reddit search tools for AI agents, returning raw social media data with cleaning and re-ranking, including full Reddit comment tree reading for cost-effective synthesis.
    4
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