"Cargo Doc" matching MCP servers:

Discover which MCP servers can interact with real-world entities like restaurants, hotels, and salons by querying the Dock AI registry using domain names.

Enables AI agents to control monitor settings (brightness, contrast, input source) via DDC/CI protocol, with support for MQTT integration.

Enables an owner to send Discord DMs to a bot and have them delivered through signed MCP Events to an existing ChatGPT dot, then return OAuth-authenticated replies to the original DM.

Enables autonomous web agents to prune raw HTML into accessibility-friendly semantic trees with 80%+ token reduction, auto-map form input schemas, convert HTML/Markdown tables into type-inferred JSON records, and score agent execution trajectories. Runs as a zero-dependency, stdlib-only MCP stdio server for Claude Desktop, Cursor, and Windsurf.

The kernel that doesn't believe the agents — a domain-free trust substrate for fleets of autonomous agents: verify what shipped, arbitrate collisions, refuse with structured reasons.

Token-efficient browser automation for AI agents, filtering the DOM to only interactive elements and grouping them by page section, reducing token usage by 3-13x compared to Playwright MCP.

Tri-channel AdsAgent plugin (Meta, Google Ads, TikTok): hosted OAuth MCP at adsagent.md plus agent skills for insights, templates, and prepare/confirm writes. Install via adsagents/adsagent-ai-skills. Meta MCP: https://adsagent.md/mcp/v2. Registry: md.adsagent/meta-mcp.

Enables real-time web search with source citations by leveraging Perplexity AI's Sonar models through SAP AI Core. It integrates with Claude Code to provide deep analysis, reasoning, and up-to-date information from the web.

A stdio MCP server that lets Grok Bot receive spooled Telegram updates and respond through Telegram — listing and acknowledging pending messages, sending or editing replies, and showing editable progress drafts. It also exposes webhook helpers so the bot can manage its Telegram webhook configuration.

Exposes Pi execution nodes to any MCP client so it can dispatch sub-tasks to local or cloud models, poll and cancel them, and get command-based acceptance, diff-based evidence chains and automatic escalation to stronger models on failure.

Enables intelligent Kubernetes deployments, automated documentation testing, organizational pattern management, and shared prompt libraries. Provides AI-powered recommendations based on cluster capabilities and automates DevOps workflows through conversational interfaces.

Enables local coding agents to send prompts to a user-authorized ChatGPT webpage through a browser extension and retrieve the final answer via MCP.

Enables multiple concurrent MCP clients to safely share one backend MCP server by terminating client sessions, serializing forwarded calls, and mirroring the backend's exact tools and schemas. It also reconnects automatically if the backend restarts or drops, exposing a status tool for reachability checks.

Enables on-demand, verbatim Jev-guided transcript compaction by deciding which tool calls and results can be removed or truncated while preserving retained content exactly.

Enables an OAuth-protected client to discover Paseo workspaces, dispatch Codex, Claude Code, or OpenCode tasks on a Mac, recover exact request results, and subscribe to agent messages and attention events.

A Node.js-based remote Model Context Protocol (MCP) server that runs on Azure Container Apps, allowing different AI models and tools to communicate with each other in a serverless environment.

Enables AI tools and agents to share a persistent memory space, so a decision, task, or encrypted secret saved in one client can be searched, recalled, and handed off from another. It also tracks goals day by day, moves unfinished work between sessions, and keeps exports, trash recovery, and per-account isolation under the user's control.

MCP server giving Claude full control over ElevenLabs Conversational AI agents, conversations, knowledge base, tools, tests, telephony, and workspace settings.