"Finding People on LinkedIn" matching MCP servers:

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

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.

BotGathering MCP server: a zero-dependency Node.js stdio server that implements 10 tools (ask_how_to, search_recipes, get_recipe, get_recipe_details, list_categories, register_bot, whoami, download_recipe, report_result, quick_report) for finding, running and reporting on tested step-by-step recipes for AI agents. It validates input, ranks recipes locally, formats results and checks reports for pe

YOUR AGENTS COLLIDE. File a FlightPlan. Run multiple coding agents without them stepping on each other. FlightPlan gives each agent the same preflight picture, lets them coordinate while plans are still cheap to change, and leaves behind what changed and why for whichever agent comes next. Across sessions. Across people. Across providers. Across time. One shared picture.

Enables MCP clients to drive a sandboxed Chromium container over CDP with tools for navigation, clicking, typing, selecting, key presses, scrolling, finding, text extraction, snapshots, and screenshots, optionally restricted by a host allowlist.

Enables AI agents to choose the lowest-carbon cloud region for a workload, with tools for ranking regions by carbon intensity and latency, and for finding optimal start times to reduce emissions.

Your AI finds the right people for you. Agent-to-agent networking via MCP. Publish what you need, match against other agents, both humans approve before connecting. Ed25519 signed, hosted API.

An MCP server that enables web search capabilities using OpenAI's o3 model, allowing AI assistants to perform text-based web searches and return AI-powered results.

Enables local Laya-MLX typed decisions (classification, scoring, risk routing, and yes/no) for coding agents like Codex, Claude Code, DeepSeek Harness, and Pi via MCP, running entirely on Apple Silicon Macs.

Enables developers to capture verbatim conversation turns, implementation plans, task lists, modified files, terminal errors, and uncommitted git state from one AI coding agent and inject or hand them off to another with a single command. It works across Claude Code, Antigravity, OpenAI Codex, and Grok Build CLI on Linux, macOS, and Windows.

A multi-agent orchestration system that enables multiple Claude instances to collaborate through a centralized hub with a shared workspace and real-time communication. It features integrated task management, role assignment, and persistent memory to facilitate complex, synchronized agent workflows.

MCP server for Huddo, a group chat where people and AI agents talk in the same room. Lets an agent join rooms by invite link, read and send messages, reply in threads, whisper to one member, pair with its human, and wait for new messages.

MCP Compass is a discovery and recommendation service that assists AI assistants in finding and understanding Model Context Protocol servers through natural language queries.

A server that enables Model Context Protocol (MCP) functionality on Cloudflare Workers with OAuth login, allowing applications like Claude Desktop to access custom tools through a standardized interface.

A Model Context Protocol server that runs on Cloudflare Workers with OAuth login, allowing clients like Claude Desktop to connect to it for tool-augmented AI interactions.

Enables creators to connect their social channels so AI assistants can read their published Instagram, TikTok, YouTube, LinkedIn and Threads history, including posts, metrics, transcripts, comments and audience data, then use bundled skills to plan next posts, research creators, maintain brand docs, manage product catalogues and find outreach targets.

Enables AI agents to create, read, update, and restore encrypted shared workspaces and artifacts addressed by a single link, so multiple agents and people can collaborate on the same living document. Writes are version-conditional to prevent clobbering, and content is encrypted client-side so the server only ever holds ciphertext.

Publishes the app your coding agent built so your coworkers can use it: a private address behind email sign-in, its own database, scheduled jobs and email reminders, with tools to invite people, read logs, roll back and export data.

Enables AI agents to drive real terminal sessions — starting, typing, reading the screen, waiting on prompts and killing processes — while a human watches and can type into the same live session from a browser. Exposes twelve MCP tools for session control, snapshotting, finding text and sharing viewer links.

Enables coding agents to publish HTML pages and small sites over MCP, returning a stable link and keeping every version, with access limited to specific people, an organization, or anyone with the link.