Summary: This server connects AI assistants to CreatorOS's web extraction, live search, and neural text-to-speech services with three tools.
creatoros_extract – Convert any public web page URL into clean, noise-free Markdown (strips ads, nav, cookies, scripts; preserves headings, tables, code blocks) for summarization and RAG.
creatoros_search – Run autonomous live web searches and auto-extract deep Markdown from the top 1–5 ranked result pages in one step.
creatoros_speak – Turn English text (up to 5,000 chars with Pro Pass) into natural speech audio using voices anna, charles, alba, or stuart_bell.
Setup – Works with Claude Desktop, Cursor, Windsurf, and Zed via npx -y creatoros-mcp; free tier offers 5 extractions/day, with paid Developer Passes optional.
Official Model Context Protocol (MCP) server for CreatorOS. Connects Claude Desktop, Cursor, Windsurf, and Zed directly to the high-throughput CreatorOS Web-to-Markdown extraction engine, autonomous agent web search, and neural text-to-speech studio.
Zero dependencies. Instant startup (<1s).
Tool | Description |
| Converts any public web page URL into clean, noise-free Markdown with headers, tables, and article metadata stripped of ads and navigation boilerplate. |
| Autonomous multi-URL agent live search. Retrieves fresh web search results and auto-extracts deep Markdown from top matching pages. |
| Generates natural, human-cadence English voice speech audio from text using CreatorOS Neural Voice Studio ( |
Related MCP server: crw-mcp
Add this to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"creatoros": {
"command": "npx",
"args": ["-y", "creatoros-mcp"]
}
}
}Optional: If you have an active CreatorOS Developer Pass key, provide it in env:
{
"mcpServers": {
"creatoros": {
"command": "npx",
"args": ["-y", "creatoros-mcp"],
"env": {
"CREATOROS_API_KEY": "YOUR_CREATOROS_PASS_KEY"
}
}
}
}In Cursor, open Settings → Features → MCP Servers.
Click + Add New MCP Server.
Fill in:
Name: creatoros
Type: command
Command: npx -y creatoros-mcp
Click Save. Cursor Composer will now automatically call creatoros_extract or creatoros_search whenever you ask questions about live web documentation!
"Extract the documentation at https://fastapi.tiangolo.com/tutorial/first-steps/ and summarize it."
"Search for the latest Python 3.13 changelog and give me the code examples."
"Synthesize an audio announcement for our product release using the Anna voice."
Free Tier: 5 web extractions / day with no API key required to test.
Developer Passes: Start at $1.00 for 500 lifetime extractions (credits never expire) up to 250,000 extractions with dedicated concurrency. Get your pass at https://thecreatoros.dev/#passes.
MIT © CreatorOS
Extracts readable main content from any public web page URL and converts it into clean, noise-free Markdown optimized for LLM context, summarization, and RAG pipelines. Strips advertisements, navigation headers, cookie banners, and scripts while preserving headings, lists, tables, and code blocks.
When to use:
Call this tool when the user provides a specific URL or asks to read, scrape, summarize, or analyze documentation, blog posts, news articles, or API references from the web.
When NOT to use:
Do not use for keyword searches without a known URL (use creatoros_search instead).
Do not use for private intranet pages or sites behind interactive authentication/login walls.
Behavior:
Idempotent and read-only. Does not mutate server state.
Returns extracted Markdown as plain text.
Inputs: url (required).
Executes an autonomous live web search for fresh information and automatically extracts deep Markdown content from the highest-ranking search result pages. Combines web search retrieval and web scraping in a single step for AI agents.
When to use:
Use when you need real-time, up-to-date web information, breaking news, latest documentation, or answers to queries where no specific target URL is provided.
When NOT to use:
If the user has already provided an exact web URL to scrape, use creatoros_extract instead.
Behavior:
Read-only and non-destructive.
Returns a structured Markdown document containing top ranked titles, URLs, text snippets, and extracted page content.
Inputs: query (required), limit.
Converts English text into natural, studio-quality speech audio with human inflection and cadence using the CreatorOS Neural Voice Studio. Returns a playable audio URL or audio stream.
When to use:
Use when the user requests spoken voice responses, podcast narration, voiceover scripts, or audio synthesis of text.
When NOT to use:
Do not use for text extraction, web scraping, or non-audio tasks.
Behavior:
Synthesizes neural audio on demand. Free tier supports up to 250 characters per generation; Pro Pass supports up to 5,000 characters.
Inputs: text (required), voice.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 3 tools
Each tool targets a distinct capability: URL-to-Markdown extraction, query-based web search, and text-to-speech. The descriptions explicitly cross-reference each other ('use creatoros_search instead', 'use creatoros_extract instead'), leaving no realistic path for misselection even where extract and search both return Markdown.
All three tools use the same creatoros_ prefix followed by a single clear verb (extract, search, speak). No mixing of camelCase, noun-phrases, or version suffixes; the pattern is fully predictable.
Three tools is on the lean side but each covers a genuinely separate operation with no filler or redundant variants. Slightly thin for a server branded as a general 'creator' platform, but well-scoped for the read-and-speak niche it actually covers.
The read (extract/search) and output (speak) lifecycle is fully covered with no dead ends within the stated scope, and read-only behavior is explicit. Minor gaps exist—no batch/multi-URL extraction, no summarization or caching of fetched content—but agents can work around these by chaining calls.
Clean Markdown and AI-readability scoring for any URL. Built for AI agents.
Web search and any page as LLM-ready Markdown for AI agents. Free keyless tier, no signup.
Pages, crawls and URL batches as clean Markdown and JSON for AI agents, with an Evidence Record.
Web data extraction and browser workflows for AI assistants.
