"Techniques to Improve Agent Programming" 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.

Agent-first YouTube Shorts uploader with dry-run validation, OAuth checks and synthetic-media metadata.

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.

MCP server for noise-reduced X (Twitter) search planning and Feedback-to-Fix engineering handoffs. Enables AI agents to generate structured search plans, filter signals, and build handoff packages via MCP tools.

Exposes read-only tools over a local OneBot 11 / NapCat endpoint for a logged-in QQ account, letting agents list sessions, fetch chat history and surrounding context, resolve forwarded messages, search messages, and inspect files or media, with message sending gated off by default.

Self-hosted football social-media agent that drafts posts, generates assets, and requires Telegram approval before publishing, with stateful SQLite storage and async image jobs.

An MCP server agent that enables analysis of YouTube videos by extracting transcripts, generating summaries, and creating chapter timestamps. It allows users to interact with video content through natural language to perform tasks such as writing social media posts.

An MCP server that enables agent-driven LinkedIn outreach across multiple accounts, with a safety gate for human approval and LLM-powered personalization.

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

Enables AI clients to connect to Reddit through JSON-RPC for multi-account management, opportunity scanning, drafting compliant responses, and executing approved actions.

Enables MCP agents to perform native X (Twitter) searches with original-post citations and transparent usage tracking. Supports existing Grok login sessions or explicit xAI API billing without runtime dependencies.

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.

Enables an MCP client such as Claude Code to search LinkedIn jobs, read postings and profile data, track what has been seen, and prepare actions on a user's own account. Every consequential LinkedIn action requires explicit out-of-band confirmation in a terminal, with typed tools and failure-honest errors.

Enables AI agents to interact with X (Twitter) through its private GraphQL API using session cookies, supporting tweets, replies, likes, retweets, searches, direct messages, and more. Provides 24 MCP tools for full account automation.

Local-first TikTok Content Posting API for AI agents: OAuth checks, dry-run and live uploads.

Enables agents to search and read posts, images, and limited comments across Xiaohongshu, Weibo, Zhihu, and WeChat Official Accounts, with local OCR and traceable sources.

A Model Context Protocol server that enables AI agents to interact with Twitter without direct API access, supporting tweet operations, user interactions, and Grok AI integration.

Enables agents to access 30 pay-per-event Apify actors for ad, video, reel, and audio transcripts; Google Trends and keyword demand; job boards; Amazon product data; and Instagram data, charging only per delivered item.