"A music streaming service" matching MCP servers:

A simple MCP server that allows AI assistants like Cursor or Claude Desktop to search for and play tracks on YouTube Music through natural language commands.

Proxies STDIO-based MCP clients to streaming HTTP MCP servers, enabling local clients to connect to remote servers.

前端ai主导的全流程，自动化的预开发；旨在解决前端开发在联调前期的各种繁琐工作

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

A Model Context Protocol service that enables agent authentication and integration with TrustGo platform, providing access to real-time data like price, sigma score, and mindshare bubble analytics.

基于MCP架构的微信公众号文章爬虫系统，支持AI智能体通过Selenium自动抓取微信公众号文章内容和图片，实现文章内容的智能分析。

Enables real-time user intervention for MCP agents through a web UI, allowing users to review context and provide feedback when AI agents drift from intent, keeping them on track.

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

Enables AI agents to delegate tasks to a running Hermes Agent instance via its OpenAI-compatible gateway, with streaming progress notifications and session threading.

An MCP server that integrates a ReAct agent with built-in tools (calculator, text, unit conversion, etc.) and the AnySearch search service, enabling autonomous multi-step task execution.

A local stdio MCP service that unifies coding agents like Codex and Claude into cs_agent_* tools, enabling the root agent to create, invoke, and manage child agents with recursive delegation.

Enables collaboration across Claude, GPT, and Gemini through a unified MCP interface, with configurable execution policies for synthesizing or directly delivering worker outputs.

Enables a host AI agent to trigger a multi-agent debate, running N-rounds where agents critique each other's answers, then synthesizes a consensus recommendation with ranked options.

A Meta-MCP Server that acts as a tool discovery service, helping AI assistants find appropriate MCP servers from a database of 800+ servers when they need capabilities that aren't currently available.

A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills enginee

Lets separate coding-agent sessions coordinate through a shared, role-addressed mailbox instead of a human relaying every message, over a single local SQLite file or a hosted server with many isolated channels. Messages can be sent as tracked obligations that stay open until one side resolves and the other confirms, alongside threads, full-text search, work statuses, and an append-only versioned pin system where protected changes require recorded agreement from every declared role.

jobd is a self-hostable, GPU-aware job broker that queues and routes shell commands across your own machines — picking workers by available VRAM and tool tags, streaming logs back, and surviving across sessions. It ships native MCP integration, so agents can submit, monitor, and control long-running or GPU jobs as tools.

Enables AI coding agents from any vendor to resume a task from the exact stopping point without model calls, re-reading old sessions, or re-exploring the code, by merging host hooks, agent checkpoints, and Git deltas into one compact brief. It also guards credits outside the model with a prompt clarity gate, a loop guard, and configurable token profiles.

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.

Enables Claude Code and other MCP clients to obtain fast, low-latency snap decisions — tool choice, option selection, and abstention when confidence is low — from a pluggable local decision engine such as Laya, Von, an Ollama chat model, or a custom provider. Engines can be swapped without changing the stable tools the client sees, with validation, per-attempt timeouts, confidence thresholds, and fallback chains handled by the server.

Enables AI agent hosts to exchange durable, local sender/receiver messages through a SQLite mailbox exposed as MCP tools (connect, send, receive, reply, ack, status, disconnect), so a coordinator can dispatch commands and an executor can return results without model polling while idle. A configured host wake adapter is still required to turn an incoming event into an Agent turn.

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

A multi-user AI group chat server via MCP that lets multiple users' AI agents join a shared discussion room to debate topics and reach convergence.

Provides AI-aware failover for Mihomo proxy on macOS by validating real OpenAI paths and switching proxy groups after verified hard failures. It offers a local stdio MCP server for diagnostics, status, and safe management of the AI proxy group.

Enables any MCP client or OpenAI-compatible application to use Meta Muse through a logged-in Chrome session, with tools for chat, attachments, session management, media retrieval, streaming, and tool-call compatibility.

Enables an AI agent or MCP client to delegate tasks to an installed WorkBuddy runtime through seven tools, including starting native worker sessions, sending messages, streaming public results, selecting models, loading configured MCP servers and skills, and cancelling tasks.

An MCP server that enables LLMs to interact with Agent-to-Agent (A2A) protocol compatible agents, allowing for sending messages, tracking tasks, and receiving streaming responses.

MCP server for interacting with fal.ai models and services. Uses the latest streaming MCP support.

Enables any AI agent to connect to any OpenAI-compatible LLM provider through a unified MCP interface, with automatic failover, caching, cost tracking, and multi-model consensus.

Enables AI tools to drive a hosted, headless Chromium browser over HTTP — navigating, clicking, typing, and reading pages through structured accessibility snapshots — without installing a browser locally or running npx on each machine. It runs as a single authenticated Render web service that any MCP client can connect to at a shared HTTPS endpoint.