"LinkedIn company profile pages" matching MCP servers:

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

Manages company document metadata and URLs in a local SQLite database, with automatic summarization via Mistral OCR and Chat Completions API.

MCP server that searches the web, reads pages, and returns concise summaries with cited sources via the research_web and read_url tools.

Turns plain text or Markdown, web pages, and local PDFs into editable Markdown outlines that can be rendered as standalone, offline-capable interactive HTML mind maps. Works with any MCP client with no API key required, since the connected model writes the final outline from a draft and cleaned source text.

A Python MCP server for web research that enables fetching web pages, searching, batch-fetching, extracting links, and summarizing content via client-side sampling, with optional local file access.

A local content summarization service that allows AI agents to fetch web pages, WeChat articles, and Bilibili videos, transcribe if needed, and generate Markdown summaries via MCP.

Stdio MCP server over the Briefing Service REST API: hourly LLM-ranked news briefings (AI, frontier labs, markets, sports, world) as structured JSON, rendered e-ink pages and a free provenance dump. Six read-only HTTPS tools, no shell, no secrets required; Dockerfile and glama.json in the repo root.

MCP server that fetches YouTube video transcripts and creates Notion pages with summaries. Enables Claude Desktop to summarize videos and save them to Notion.

Unofficial MCP server wrapping crawl4ai that enables extraction and analysis of content from web pages, PDFs, Office documents, YouTube videos, and more, with AI-powered summarization and Google search integration to reduce token usage while preserving key information.

MCP Server for AI Summarization, Support for multiple content types: * Plain text * Web pages * PDF documents * EPUB books * HTML content

Fewer tokens, every page. A local MCP server that turns web pages, PDFs, Office files and JSON into compact text for your coding agent.

Provides tools and resources to detect AI-generated writing patterns and refine text for more authentic, human-like communication. It enables users to analyze phrasing via a scoring system and apply conversational guides tailored for platforms like Twitter and LinkedIn.

Enables LLM agents to perform web search, scraping, and summarization outside their context window, receiving compact cited briefs via MCP while full pages are cached and viewable in a local web UI.

Exposes Karthikeyan K's portfolio (profile, skills, experience, etc.) as MCP tools, resources, and prompts, with optional Gemini-powered AI tools for job matching and portfolio analysis.

Enables users to turn public vendor-policy changes into short, evidence-backed spoken briefings for procurement, privacy, and vendor-risk teams, with tools to check live policy pages and estimate monitoring costs.

Shrinks logs, JSON, docs and web pages before your AI reads them: offline, deterministic, no API key. Folds repetitive log lines (12,037 to 127 tokens on a 400-line log) while code, URLs and quoted strings come back byte-for-byte. Also fetches URLs as clean text, counts tokens exactly, and has optional local Ollama tools for image and text compression.

Enables searching, summarizing, and recommending government and public institution notices based on a user profile, with tools for collection and analysis.

Enables users to search local markdown and text files, retrieve recent GitHub commit activity, and summarize live web pages through a chat interface with dynamic tool discovery.