mongodb-lens — MCP Server by furey

by furey · MCP Server · ★ 199

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About mongodb-lens

MongoDB Lens MongoDB Lens is a local Model Context Protocol (MCP) server with full featured access to MongoDB databases using natural language via LLMs to perform queries, run aggregations, optimize performance, and more. Contents Quick Start Features Installation Configuration Client Setup Data Protection Tutorial Test Suite Disclaimer Support Quick Start Install MongoDB Lens Configure MongoDB Lens Set up your MCP Client (e.g. Claude Desktop, Cursor, etc) Explore your MongoDB databases with natural language queries Features Tools Resources Prompts Other Tools []

aiclaudedatabasellmmcpmodel-context-protocolmongodb

Quick Facts

Stars199
Forks26
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score46.75/100
Open Issues4
Last Updated2025-04-23
Created2025-03-09
Platformsclaude-code, mcp, node
Est. Tokens~115k

Compatible Skills

These tools work well together with mongodb-lens for enhanced workflows:

mongodb-lens alternative? Top 6 similar tools

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Frequently Asked Questions

What is mongodb-lens?

mongodb-lens is 🍃🔎 MongoDB Lens: Full Featured MCP Server for MongoDB Databases. It is categorized as a MCP Server with 199 GitHub stars.

What programming language is mongodb-lens written in?

mongodb-lens is primarily written in JavaScript. It covers topics such as ai, claude, database.

How do I install or use mongodb-lens?

You can find installation instructions and usage details in the mongodb-lens GitHub repository at github.com/furey/mongodb-lens. The project has 199 stars and 26 forks, indicating an active community.

What license does mongodb-lens use?

mongodb-lens is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to mongodb-lens?

The top alternatives to mongodb-lens on Agent Skills Hub include MCP-PostgreSQL-Ops, mcp-searxng, MCP-Bridge. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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