"A tool for uploading and analyzing documents, extracting text from PDFs, and conducting research" matching MCP servers:

MCP server for compact Reddit research packs. Enables Reddit data extraction, search, and trend analysis through a set of tools like reddit_search and reddit_thread.

Fetches content data from YouTube, TikTok, Twitter, LinkedIn, articles, and PDFs so LLM clients can analyze content performance and generate insights.

Enables local research of public Instagram Reels through a dashboard, CLI, and 22 MCP tools, with optional Codex or Claude Code analysis.

23 research tools for AI agents: web search, social media, academic papers, SEC filings, citation verification, reliability scoring. Pay-per-call from $0.01.

A Python-based tool that streamlines social media tasks by enabling users to post tweets, track username changes, fetch recent tweets, and send direct messages on Twitter.

Enables AI agents to perform read-only Reddit research, including discovering relevant subreddits, ranking threads by real discussion volume, and returning verbatim quotes with permalinks.

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.

A read-only MCP server that lets ChatGPT use Grok's x_search to retrieve and analyze posts and threads from specified X accounts, returning Chinese research reports with source links.

MCP server for researching community discussions, with a focus on Reddit. It enables searching Reddit posts and reading threads/comments, providing structured JSON output for LLM consumption.

Enables AI assistants to interact with LinkedIn and LinkedIn Sales Navigator for searching profiles, managing leads, and handling messaging via cookie-based authentication. It supports professional networking tasks such as sending connection requests and retrieving account details through the Model Context Protocol.

Enables AI assistants to interact with the Post For Me API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

Enables LinkedIn profile reads and post operations through a local-first MCP server, with OAuth token management and approval-friendly tools for OpenWorker.

Enables comprehensive Reddit research through a three-layer architecture that discovers relevant communities, provides operation guidance, and executes multi-subreddit content fetching with proper citations. Supports searching, post fetching, comment analysis, and batch operations across multiple subreddits for thorough content analysis.

Enables browsing and searching Reddit content through read-only tools that access Reddit's official API. Supports searching posts, retrieving subreddit information, fetching hot posts, and getting detailed post information.

Enables LinkedIn profile research, post analysis, business signal detection, ICP prospect matching, and sales opportunity discovery through natural language.

Provides social media functionality for AI agents, enabling them to login with unique handles, read filtered posts, and create posts or replies within team-based discussions.

Enables complete management of X (Twitter) accounts through a single API key, supporting functions like getting tweets, searching, generating and posting replies.

Extracts LinkedIn saved posts into a structured research index using Chrome DevTools Protocol.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.