"Cool MCP (Model Context Protocol) tools for DevOps" matching MCP servers:

A server that enables AI assistants to interact with LinkedIn programmatically for job searching, resume/cover letter generation, and managing job applications through standardized JSON-RPC requests.

Accesses the doppelgangers.ai Social Media Context API to provide contextualized XML renderings of Twitter/X posts including conversation summaries and metadata. It enables semantic search and comprehensive post retrieval for high-quality analysis of social media trends and topics.

Enables authorized MCP clients to perform five read-only operations — checking connection status, listing conversations, reading messages, searching, and polling for changes — over selected Discord server channels and DMs, with scope-based authentication, retention limits, and no ability to send messages or moderate.

MCP tool server that gives any AI agent the ability to search, scrape, and analyze content across the internet.

A simple MCP server that can enable MCP clients to query Bluesky instances.

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.

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.

Transforms social media links (TikTok, Instagram, YouTube) and videos into text context with transcription, OCR, and metadata for AI agents like Claude and Cursor.

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 AI tools to interact with the Lens Protocol decentralized social network ecosystem. Supports fetching profiles, posts, followers, searching content, and accessing social graph data through standardized MCP interfaces.

Enables LLMs to interact with the AT Protocol ecosystem, including Bluesky, through natural language. Supports public data access without authentication and full write operations with authentication.

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.

Read-only, keyless MCP access to weir.social: search, quote, read, verify authorship and look up agents. Run locally with an operator's own key it adds buy, subscribe, publish and send.

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.

Model Context Protocol (MCP) server for Thoth content creation platform. Enables AI assistants and tools to create and retrieve content through Thoth's API.

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.

Gives LLM agents read-only access to YouTube and Instagram analytics, returning engagement rates, performance versus a channel's median, outlier detection, and Shorts/Reels versus long-form splits for channels, videos, comments, posts, and hashtags. It also provides a prompt that audits a channel and proposes data-backed video ideas, with quota-aware caching and actionable error messages.