Search 13,870+ MCP servers, 4,384+ agent skills, and plugins from your terminal or agent.
Remote OpenClaw MCP server exists for a simple reason — assistants are far more useful when they can act on Remote OpenClaw directly instead of describing what you should do. Search 13,870+ MCP servers, 4,384+ agent skills, and plugins from your terminal or agent.
An MCP server that lets any AI agent — Claude Code, OpenClaw, Hermes, Codex, Cursor — search Remote OpenClaw directly from your editor: a directory of 13,870+ MCP servers, 4,384+ agent skills, and plugins.
Once Remote OpenClaw is connected, these are the calls the assistant has available:
search_mcp_servers — Find an MCP server for a task (databases, scraping, GitHub…)search_skills — Find a reusable agent skill, with its install commandsearch_plugins — Find a plugin / marketplace packageInstallation goes through your MCP client rather than a global install: point it at remoteopenclaw on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Among the search and retrieval options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Remote OpenClaw's toolset — search_mcp_servers, search_skills, search_plugins — is a fair guide to whether it matches your workflow. It is maintained by aidevelopers2; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| search_mcp_servers | Find an MCP server for a task (databases, scraping, GitHub…) |
| search_skills | Find a reusable agent skill, with its install command |
| search_plugins | Find a plugin / marketplace package |
{
"mcpServers": {
"remoteopenclaw": {
"command": "npx",
"args": ["-y", "remoteopenclaw"]
}
}
}Configuration as documented by the project. Restart the client after saving.
The simplest web tool that matters — fetch any URL and get model-ready markdown back.
Industrial-strength web extraction — render, scrape, crawl and search entire sites into clean markdown.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Put 6,000+ pre-built scrapers at your assistant's fingertips through one MCP endpoint.