Lemonado▌
by docs
Lemonado: Query business data in real time with SQL across tools, sheets, and databases for faster insights and smarter
Query business data in real time using SQL across tools, sheets, and databases
github stars
★ —
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Business analysts combining data from multiple sources
- / Teams needing unified reporting across tools
- / Real-time business intelligence and reporting
capabilities
- / Query databases with SQL
- / Access spreadsheet data via SQL
- / Connect to multiple business tools
- / Execute real-time data queries
- / Unify data across different sources
what it does
Connects to various business data sources and allows you to query them all using SQL in real time, whether it's databases, spreadsheets, or other business tools.
about
Lemonado is an official MCP server published by docs that provides AI assistants with tools and capabilities via the Model Context Protocol. Lemonado: Query business data in real time with SQL across tools, sheets, and databases for faster insights and smarter
how to install
You can install Lemonado in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Lemonado is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the Lemonado MCP server?
- Lemonado is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Lemonado?
- This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★30 reviews- ★★★★★Sakura Verma· Dec 20, 2024
Lemonado is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Kwame Ramirez· Nov 11, 2024
Lemonado reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Kwame Li· Oct 2, 2024
Useful MCP listing: Lemonado is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Meera Farah· Sep 21, 2024
I recommend Lemonado for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Diya Mensah· Sep 13, 2024
Lemonado is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Oshnikdeep· Sep 9, 2024
We wired Lemonado into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Piyush G· Sep 1, 2024
I recommend Lemonado for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Noor Sethi· Sep 1, 2024
We wired Lemonado into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ganesh Mohane· Aug 28, 2024
Lemonado is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Shikha Mishra· Aug 20, 2024
Strong directory entry: Lemonado surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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