"Managing Social Media Content Creation Using Monday" matching MCP servers:

Provides keyless tools to measure social media topic volume and account activity across Bluesky, Mastodon, Reddit, and Hacker News.

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.

Provides AI agents with real-time social trends, cross-platform sentiment, viral content velocity, and brand mentions from Reddit, Hacker News, and Google Trends.

A specialized MCP server for Claude Desktop that enhances AI-assisted medical learning by fetching and processing educational resources from PubMed, NCBI Bookshelf, and user-provided documents.

A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.

Combines Naver DataLab trends, blog/news search, translation, and Unsplash images into a single research pipeline for content creators. Generates comprehensive research reports from a single query.

Enables AI clients to browse instruments, items, dimensions, expert assignments, and calculate Content Validity Index (CVI) via a standard MCP interface.

MCP server for reading OPC events from the OPC one-person company tool station via personal API key. It provides an opc_list_events tool to fetch event lists, designed for use with Claude Desktop, Cursor, and Cline.

Detects AI-generated content by analyzing 24 writing patterns, provides style analysis, plagiarism check, text humanization suggestions, and offers batch detection and version comparison tools.

MCP server that provides AI agents with access to public social media data, including hot lists, searches, content details, user profiles, posts, and comments from platforms like Douyin, Xiaohongshu, Bilibili, and Weibo.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

An MCP server that provides AI agents with access to over 20 knowledge sources including arXiv, GitHub, YouTube, Wikipedia, and more for reading and searching content.

Enables comprehensive content analysis through web scraping, document processing (PDF, DOCX, TXT, RTF), screenshot analysis, and local Excel database management. Provides intelligent workflows for extracting, analyzing, and storing content from multiple sources with automated categorization and search capabilities.

Enables Claude to access and analyze your paid media campaign data, team structure, performance metrics, and reporting templates, so it can answer questions and assist with analysis directly in your workflow.

Enables LLMs to access Fujitsu's Digital Rehearsal API through natural language, allowing users to run and analyze simulations of human and social behavior in digital space.

Enables YouTube competitor research, signal analysis, and transcript-aware pack building for content ideation and scriptwriting.

Provides read access to campaign performance data from Google Ads, Meta Ads, and TikTok Ads via live API calls, enabling AI assistants to analyze and audit advertising campaigns.

Provides tools to interact with the OpenCTI platform, including checking if a campaign exists.

Enables agents to perform cited social listening and company research, returning mentions, sentiment, and themes in a single low-latency USDC-paid call.

Enables federated multi-source research by fanning out queries across web, community, and social sources, deduplicating and interleaving results, and storing a persistent corpus for cross-checking.