Published in the official MCP Registry as eco.reeco/reecopedia (domain-verified). Interactive web version: ia.reeco.eco/reecopedia.
reecopedia-mcp is an MCP project maintained in the halleluiaman-ux/reecopedia-mcp repository. The maintainer describes its purpose as “Published in the official MCP Registry as eco.reeco/reecopedia (domain-verified). Interactive web version: ia.reeco.eco/reecopedia”. Read the project documentation for the complete scope.
The maintainer’s configuration uses https://ia.reeco.eco/mcp. Check the project’s account and authentication instructions when adding the endpoint to your client.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| search_eu_textile_regulations | Main search over the regulatory corpus, returns cited passages |
| document_outline | Table of contents of one document, to navigate a long act or standard |
| find_exact_text | Locate a literal string (e.g. an article number or defined term) inside one document |
| report_answer_issue | Flag a wrong or unsupported answer for correction |
| about_reecopedia | What Reecopedia is, who runs it, privacy policy |
{
"mcpServers": {
"reecopedia": {
"url": "https://ia.reeco.eco/mcp"
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Retrieve public web pages as readable Markdown with the reference Fetch MCP server, including pagination for longer responses.
Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.