"High-Quality PDF Extraction to Text with Tokenization and Accurate Processing of Complex Layouts" matching MCP servers:

Enables AI agents to transcribe Instagram Reels into text by providing a tool that accepts a Reel URL and returns the speech transcript along with metadata such as author and duration.

Publish reliable, duplicate-free Telegram posts from ChatGPT — manually or as part of a scheduled workflow.

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

Converts X (Twitter) posts into JSON, PDF, PNG, Markdown, or Slack/Discord messages using public endpoints, no API key or login required.

Enables monitoring influencer brand share of voice and creator mention sentiment using Meltwater data, delivering deterministic structured output for MCP-compatible clients.

Enables publishing content to multiple social media platforms (YouTube, Twitter, Facebook, Instagram, TikTok, Reddit, Blog) through automation agents, with task management and system validation.

Free Remotion video templates, creative guides and render diagnostics. No API key for local tools; optional paid hosted Studio workflows. Start with get_capabilities.

Enables AI assistants to research and organize professional contacts, enrich profiles, sync inbox conversations, pull web context, and draft personalized outreach messages that require human approval before sending. All actions run under server-side daily and hourly safety thresholds to keep the connected LinkedIn account within safe limits.

Generates blog and social media images using Google's Gemini AI with pre-configured platform presets for Ghost, Medium, Instagram, Twitter, LinkedIn, YouTube, and more.

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.

MCP Server for notify to telegram / weixin

Enables users to search Reddit by keyword or subreddit, read thread URLs with comments, filter and sort results, and receive flat post and comment rows without needing a Reddit login or API key.

Enables browsing Hacker News feeds, retrieving stories and flattened comment threads by id, full-text and date-filtered story search, and user profile lookups through five read-only tools backed by the Firebase and Algolia APIs. Comment trees are returned breadth-first with explicit truncation reporting so results stay useful when caps are hit.

SocialCrawl provides the "best" quality public web data on the internet. Access 65+ real-time social media, e-commerce and public web data from a single API with a single schema.

Enables agents to retrieve the contents of public social media posts — text, author, date, engagement counts, links, photos, and video frames — from X, Instagram, Threads, Facebook, LinkedIn, Bluesky, Mastodon, YouTube, Vimeo, Tumblr, Pinterest, and Reddit by simply passing a post URL. It works entirely without logins, cookies, or API keys, reading only what each site already exposes publicly.

Read-focused MCP server for Zhihu, enabling retrieval of pins, articles, comments, and replies, with optional limited write tools for drafting and editing answers.

Enables AI agents to publish text, images, and video to LinkedIn and queue posts for X that a Chrome extension fills into the composer for review and posting. Facebook Pages and Instagram are supported once Meta approval is granted.

Local-first MCP server using LinkedIn's official OAuth and REST APIs to connect a member account, read profile, and publish text posts.

Enables AI agents to harvest public Instagram posts, carousels, and reels—returning metadata-only lookups or verified downloaded media plus a JSON manifest—without login, cookies, API keys, or a browser. Exposes tools for full extraction, metadata decoding, reading an existing manifest, and fetching the output schema over stdio JSON-RPC.

Forwards every tool call to a hosted MCP backend and, when supplied with your own X API bearer token, fills in the text and engagement metrics of X posts returned by mention and semantic searches so agents see readable posts instead of bare IDs. Without a token it behaves exactly like the hosted server.