"Techniques for improving prompt effectiveness" matching MCP servers:

MCP server for community-driven prompt voting and discovery — submit, upvote, and find the best AI prompts.

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.

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.

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.

MCP Server for notify to telegram / weixin

A lightweight toolkit that enables Claude to search Twitter with natural language queries and display results based on user intent, supporting features like tweet filtering, pagination, and flexible output formatting.

Connects your WordPress.com account to Claude Desktop, enabling you to read your feed, check notifications, manage tags and follows, and discover new blogs through natural conversation.

Connect Claude Desktop to WhatsApp. Send & receive messages, manage groups, share media — all through natural conversation with Claude.

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

Live LinkedIn data for AI agents: 44 tools for profiles, companies, jobs, posts, people search, job-change signals and email finding. Hosted remote server (streamable HTTP) - your agent never touches your own LinkedIn account. 300 free credits on signup, no card. Dockerfile in repo bridges stdio clients to the hosted endpoint via mcp-remote.

A high-performance MCP server designed for content creators. It automates the workflow of scraping web articles and transforming them into viral social media posts using specialized, context-aware prompt templates.

A hosted MCP server that enables managing Google Ads, Microsoft Advertising, TikTok Ads, LinkedIn Ads, and other Google services from ChatGPT, Claude, or any MCP client using natural language, with no code or API keys required.

Provides crypto market intelligence tools, reference resources, and prompt templates for sentiment analysis, mindshare tracking, social intelligence, and more.

Enables AI assistants to fetch clean text from any URL and repurpose it into platform-ready social media content for LinkedIn, Twitter, Reddit, and newsletters. It provides specialized tools for content extraction and structured prompt templates for various formats and tones.

Enables conversational management of Postgres-backed project data, off-limits rules, and hook styles, plus logging TikTok view counts and correlating performance by creative direction, hook style, or video-gen model. It also provides a sandbox to invoke Direction, Hook, and Script agents directly for prompt iteration without a full Telegram approval loop.

Enables AI agents to interact with LinkedIn through MCP tools for retrieving company profiles, posts, insights, and person profiles, as well as a prompt for account research.

Provides social media content extraction and analysis tools via MCP (Reddit and LinkedIn), while demonstrating security risks and obfuscation techniques for educational purposes.

Comment moderation, multilingual sentiment analysis, and Influence (constructive comment generation) for any article. Wraps the SentiSift API.

Provides TikTok trend data to AI assistants, including hashtag volume, growth rates, and top trending topics for early trend detection.