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MongoDB connection URI in the format: mongodb://[username:password@]host[:port][/database][?options]",[80,81,82,83,84],"category:databases","category:developer-tools","category:search","hosting:hybrid","language:javascript","descriptionMarkdown","Full featured MCP Server for MongoDB database analysis.","descriptionPlainText","githubProject",{"_90":91,"_92":93},"readme","# MongoDB Lens\n\n[![License](https://img.shields.io/github/license/furey/mongodb-lens)](./LICENSE)\n[![Docker Hub Version](https://img.shields.io/docker/v/furey/mongodb-lens)](https://hub.docker.com/r/furey/mongodb-lens)\n[![NPM Version](https://img.shields.io/npm/v/mongodb-lens)](https://www.npmjs.com/package/mongodb-lens)\n\n**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.\n\n## Contents\n\n- [Quick Start](#quick-start)\n- [Features](#features)\n- [Installation](#installation)\n- [Configuration](#configuration)\n- [Client Setup](#client-setup)\n- [Tutorial](#tutorial)\n- [Disclaimer](#disclaimer)\n\n## Quick Start\n\n- Clone repository\n- [Install](#installation) dependencies\n- [Configure](#configuration) MongoDB Lens\n- [Set up](#client-setup) your MCP Client (e.g. [Claude Desktop](#client-setup-claude-desktop))\n- Start exploring your MongoDB databases with [natural language queries](#tutorial-example-queries)\n\n## Features\n\n- [Resources](#resources)\n- [Tools](#tools)\n- [Prompts](#prompts)\n\n### Resources\n\n- Collection metadata\n- Collection statistics\n- Collection validation rules\n- Database listings\n- Database users and roles\n- Index information\n- Replica set configuration\n- Schema inference\n- Server status and metrics\n- Stored JavaScript functions\n\n### Tools\n\n- `aggregate-data`: Execute aggregation pipelines\n- `analyze-schema`: Automatically infer collection schemas\n- `bulk-operations`: Perform multiple operations efficiently\n- `count-documents`: Count documents matching specified criteria\n- `create-collection`: Create new collections with custom options\n- `create-index`: Create new indexes for performance optimization\n- `current-database`: Show the current database context\n- `distinct-values`: Extract unique values for any field\n- `drop-collection`: Remove collections from the database\n- `explain-query`: Analyze query execution plans\n- `export-data`: Export query results in JSON or CSV format\n- `find-documents`: Run queries with filters, projections, and sorting\n- `get-stats`: Retrieve database or collection statistics\n- `list-collections`: Explore collections in the current database\n- `list-databases`: View all accessible MongoDB databases\n- `map-reduce`: Run MapReduce operations for complex data processing\n- `modify-document`: Insert, update, or delete specific documents\n- `rename-collection`: Rename existing collections\n- `use-database`: Switch to a specific database context\n- `validate-collection`: Check for data inconsistencies\n\n### Prompts\n\n- `aggregation-builder`: Step-by-step creation of aggregation pipelines\n- `backup-strategy`: Customized backup and recovery recommendations\n- `data-modeling`: Expert advice on MongoDB schema design for specific use cases\n- `index-recommendation`: Get personalized index suggestions based on query patterns\n- `inspector-guide`: Get help using MongoDB Lens with MCP Inspector\n- `migration-guide`: Step-by-step MongoDB version migration plans\n- `mongo-shell`: Generate MongoDB shell commands with explanations\n- `query-builder`: Interactive guidance for constructing MongoDB queries\n- `query-optimizer`: Optimization recommendations for slow queries\n- `schema-analysis`: Detailed collection schema analysis with recommendations\n- `security-audit`: Database security analysis and improvement recommendations\n\n## Installation\n\nMongoDB Lens can be installed and run in several ways:\n\n- [NPX](#installation-npx) (Easiest)\n- [Docker Hub](#installation-docker-hub)\n- [Node.js from Source](#installation-nodejs-from-source)\n- [Docker from Source](#installation-docker-from-source)\n- [Installation Verification](#installation-verification)\n\n### Installation: NPX\n\nThe easiest way to run MongoDB Lens is using `npx` without installing anything:\n\n```console\n# Using default connection string mongodb://localhost:27017\nnpx -y mongodb-lens\n\n# Using custom connection string\nnpx -y mongodb-lens mongodb://your-connection-string\n```\n\n### Installation: Docker Hub\n\nRun MongoDB Lens directly from Docker Hub without building:\n\n```console\n# Using default connection string mongodb://localhost:27017\ndocker run --rm -i --network=host furey/mongodb-lens\n\n# Using custom connection string\ndocker run --rm -i --network=host furey/mongodb-lens mongodb://your-connection-string\n```\n\n### Installation: Node.js from Source\n\n1. Navigate to the cloned repository directory:
\n ```console\n cd /path/to/mongodb-lens\n ```\n1. Ensure [Node](https://nodejs.org/en/download) running (tip: use [Volta](https://volta.sh)):
\n `$ node -v` >= `22.*`\n1. Install Node.js dependencies:
\n ```console\n npm ci\n ```\n1. Start the server (tip: press Ctrl+C to exit):
\n ```console\n # Using default connection string mongodb://localhost:27017\n node mongodb-lens.js\n\n # Using custom connection string\n node mongodb-lens.js mongodb://your-connection-string\n ```\n\n### Installation: Docker from Source\n\n1. Navigate to the cloned repository directory:
\n ```console\n cd /path/to/mongodb-lens\n ```\n1. Build the Docker image:
\n ```console\n docker build -t mongodb-lens .\n ```\n1. Run the container:
\n ```console\n # Using default connection string mongodb://localhost:27017\n docker run --rm -i --network=host mongodb-lens\n\n # Using custom connection string\n docker run --rm -i --network=host mongodb-lens mongodb://your-connection-string\n ```\n\n### Installation Verification\n\nTo verify the installation, paste and run the following jsonrpc message into the server's stdio:\n \n```json\n{\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"resources/read\",\"params\":{\"uri\":\"mongodb://databases\"}}\n```\n\nThe server should respond with a list of databases in your MongoDB instance.\n\nMongoDB Lens is now installed and ready to accept MCP requests.\n\n## Configuration\n\n- [MongoDB Connection String](#configuration-mongodb-connection-string)\n- [Logging](#configuration-logging)\n\n### Configuration: MongoDB Connection String\n\nThe server accepts a MongoDB connection string as its only argument:\n\n```txt\nmongodb://[username:password@]host[:port][/database][?options]\n```\n\nExample URIs:\n\n- Local connection: `mongodb://localhost:27017`\n- Connection with credentials and DB name: `mongodb://username:password@hostname:27017/mydatabase`\n- Connection with DB name and options: `mongodb://hostname:27017/mydatabase?retryWrites=true&w=majority`\n\nIf no connection string is provided, the server will attempt to connect to MongoDB via local connection:\n\n```txt\nmongodb://localhost:27017\n```\n\n### Configuration: Logging\n\nTo enable verbose server logging, set environment variable `VERBOSE_LOGGING` to `true`.\n\nExample Node.js usage:\n\n```console\nVERBOSE_LOGGING=true node mongodb-lens.js mongodb://your-connection-string\n```\n\nExample Docker usage:\n\n```console\ndocker run --rm -i --network=host -e VERBOSE_LOGGING='true' mongodb-lens mongodb://your-connection-string\n```\n\n## Client Setup\n\n- [Claude Desktop](#client-setup-claude-desktop)\n- [MCP Inspector](#client-setup-mcp-inspector)\n- [Other MCP Clients](#client-setup-other-mcp-clients)\n\n### Client Setup: Claude Desktop\n\nTo use MongoDB Lens with Claude Desktop:\n\n1. Install [Claude Desktop](https://claude.ai/download)\n1. Open `claude_desktop_config.json` (create it if it doesn't exist):\n - macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`\n - Windows: `%APPDATA%\\Claude\\claude_desktop_config.json`\n1. Add the MongoDB Lens server configuration as per [configuration options](#claude-desktop-configuration-options)\n1. Restart Claude Desktop\n1. Start a conversation with Claude about your MongoDB data\n\n#### Claude Desktop Configuration Options\n\n- [Option 1: NPX (Recommended)](#option-1-npx-recommended)\n- [Option 2: Docker Hub Image](#option-2-docker-hub-image)\n- [Option 3: Local Node.js Installation](#option-3-local-nodejs-installation)\n- [Option 4: Local Docker Image](#option-4-local-docker-image)\n\nFor each option:\n\n- Replace `mongodb://your-connection-string` with your MongoDB connection string or omit it to use the default `mongodb://localhost:27017`.\n- For `VERBOSE_LOGGING`, set to `true` to enable verbose logging or `false` to disable it.\n\n##### Option 1: NPX (Recommended)\n\n```json\n{\n \"mcpServers\": {\n \"mongodb-lens\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"mongodb-lens\",\n \"mongodb://your-connection-string\"\n ],\n \"env\": {\n \"VERBOSE_LOGGING\": \"[true|false]\"\n }\n }\n }\n}\n```\n\n##### Option 2: Docker Hub Image\n\n```json\n{\n \"mcpServers\": {\n \"mongodb-lens\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"--rm\",\n \"-i\",\n \"--network=host\",\n \"-e\",\n \"VERBOSE_LOGGING=[true|false]\",\n \"furey/mongodb-lens\",\n \"mongodb://your-connection-string\"\n ]\n }\n }\n}\n```\n\n##### Option 3: Local Node.js Installation\n\n```json\n{\n \"mcpServers\": {\n \"mongodb-lens\": {\n \"command\": \"/absolute/path/to/node\",\n \"args\": [\n \"/absolute/path/to/mongodb-lens.js\",\n \"mongodb://your-connection-string\"\n ],\n \"env\": {\n \"VERBOSE_LOGGING\": \"[true|false]\"\n }\n }\n }\n}\n```\n\n##### Option 4: Local Docker Image\n\n```json\n{\n \"mcpServers\": {\n \"mongodb-lens\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"--rm\",\n \"-i\",\n \"--network=host\",\n \"-e\",\n \"VERBOSE_LOGGING=[true|false]\",\n \"mongodb-lens\",\n \"mongodb://your-connection-string\"\n ]\n }\n }\n}\n```\n\n### Client Setup: MCP Inspector\n\n[MCP Inspector](https://github.com/modelcontextprotocol/inspector) is a tool designed for testing and debugging MCP servers.\n\nTo use MongoDB Lens with MCP Inspector with Node.js from source:\n\n1. Navigate to the cloned repository directory:
\n ```console\n cd /path/to/mongodb-lens\n ```\n1. Run Inspector via `npx`:
\n ```console\n npx -y @modelcontextprotocol/inspector node mongodb-lens.js mongodb://your-connection-string\n ```\n1. Inspector starts a proxy server (default port: 3000) and web app (default port: 5173)\n - To change the default ports:
\n ```console\n CLIENT_PORT=8080 SERVER_PORT=9000 npx -y @modelcontextprotocol/inspector node mongodb-lens.js\n ```\n1. Open Inspector web app: http://localhost:5173\n1. Inspector should supports the full range of MongoDB Lens capabilities, including autocompletion for collection names and query fields.\n\nFor more, see: [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector)\n\n### Client Setup: Other MCP Clients\n\nMongoDB Lens can be used with any MCP-compatible client.\n\nFor more, see: [MCP Documentation: Example Clients](https://modelcontextprotocol.io/clients)\n\n## Tutorial\n\nThis following tutorial guides you through setting up a MongoDB container with sample data, then using MongoDB Lens to interact with it through natural language queries:\n\n- [Setting Up Sample Data Container](#tutorial-setting-up-sample-data-container)\n- [Importing Sample Data](#tutorial-importing-sample-data)\n- [Connecting MongoDB Lens](#tutorial-connecting-mongodb-lens)\n- [Example Queries](#tutorial-example-queries)\n\n### Tutorial: Setting Up Sample Data Container\n\n> [!IMPORTANT]
\n> If you already have a Docker container running on port 27017, stop it before proceeding.\n\n1. Initialise sample data container (requires [Docker](https://docs.docker.com/get-started/get-docker/)):
\n ```console\n docker run --name mongodb-sampledata -d -p 27017:27017 mongo:6\n ```\n1. Verify the container is running without issue:
\n ```console\n docker ps | grep mongodb-sampledata\n ```\n\n### Tutorial: Importing Sample Data\n\nMongoDB provides several [sample datasets](https://www.mongodb.com/docs/atlas/sample-data/#available-sample-datasets), which we'll use to explore MongoDB Lens.\n\n1. Download the sample datasets:\n ```console
\n curl -LO https://atlas-education.s3.amazonaws.com/sampledata.archive\n ```\n2. Copy the sample datasets into your sample data container:
\n ```console\n docker cp sampledata.archive mongodb-sampledata:/tmp/\n ```\n3. Restore the sample data:
\n ```console\n docker exec -it mongodb-sampledata mongorestore --archive=/tmp/sampledata.archive\n ```\n\nThis will import several sample databases including:\n\n- `sample_airbnb`: Airbnb listings and reviews\n- `sample_analytics`: Customer and account data\n- `sample_geospatial`: Geographic data\n- `sample_mflix`: Movie data\n- `sample_restaurants`: Restaurant data\n- `sample_supplies`: Supply chain data\n- `sample_training`: Training data for various applications\n- `sample_weatherdata`: Weather measurements\n\n### Tutorial: Connecting MongoDB Lens\n\nDownload and [install](#installation) MongoDB Lens as per the [Quick Start](#quick-start) instructions.\n\nSet your [MCP Client](#client-setup) to connect to MongoDB Lens with the connection string:\n\n```txt\nmongodb://localhost:27017\n```\n\n> [!TIP]
\n> As the default connection string is `mongodb://localhost:27017`, simply omit it from the client configuration.\n\nFor example, if using Claude Desktop set `claude_desktop_config.json` to:\n\n```json\n{\n \"mcpServers\": {\n \"mongodb-lens\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"--rm\",\n \"-i\",\n \"--network=host\",\n \"-e\",\n \"VERBOSE_LOGGING=true\",\n \"mongodb-lens\"\n ]\n }\n }\n}\n```\n\n### Tutorial: Example Queries\n\nWith your MCP Client running and connected to MongoDB Lens, try these example queries that demonstrate the capabilities of the various tools, resources, and prompts available through MongoDB Lens:\n\n- [Example Queries: Basic Database Operations](#example-queries-basic-database-operations)\n- [Example Queries: Movie Data Analysis](#example-queries-movie-data-analysis)\n- [Example Queries: Airbnb Data Exploration](#example-queries-airbnb-data-exploration)\n- [Example Queries: Weather Data Operations](#example-queries-weather-data-operations)\n- [Example Queries: Bulk Operations & Data Modeling](#example-queries-bulk-operations--data-modeling)\n- [Example Queries: Administrative Operations](#example-queries-administrative-operations)\n\n#### Example Queries: Basic Database Operations\n\n- _\"List all available databases\"_
\n ^{➥ Uses `list-databases` tool}\n- _\"What's the current database I'm connected to?\"_
\n ^{➥ Uses `current-database` tool}\n- _\"Switch to the sample_mflix database\"_
\n ^{➥ Uses `use-database` tool}\n- _\"What collections are available in this database?\"_
\n ^{➥ Uses `list-collections` tool}\n- _\"Get statistics for the sample_mflix database\"_
\n ^{➥ Uses `get-stats` tool with database target}\n- _\"Create the temp_collection collection, then drop it\"_
\n ^{➥ Uses `create-collection` & `drop-collection` tool}\n\n#### Example Queries: Movie Data Analysis\n\n- _\"Count how many movies are in the movies collection\"_
\n ^{➥ Uses `count-documents` tool}\n- _\"Find the top 5 movies by IMDB rating with a runtime over 120 minutes\"_
\n ^{➥ Uses `find-documents` tool with sort and filter}\n- _\"What's the schema of the movies collection?\"_
\n ^{➥ Uses `analyze-schema` tool}\n- _\"Find distinct countries where movies were produced\"_
\n ^{➥ Uses `distinct-values` tool}\n- _\"Create an index on the title field in the movies collection\"_
\n ^{➥ Uses `create-index` tool}\n- _\"Why is my query for movies with over 1000 votes slow? Help me optimize it\"_
\n ^{➥ Uses `query-optimizer` prompt}\n- _\"Run an explain on the query {year: 1995}\"_
\n ^{➥ Uses `explain-query` tool}\n- _\"Build an aggregation pipeline to show the count of movies by decade and genre\"_
\n ^{➥ Uses `aggregation-builder` prompt}\n- _\"Execute this aggregation pipeline: [{$group: {\\_id: {$floor: {$divide: ['$year', 10]}}, count: {$sum: 1}}}]\"_
\n ^{➥ Uses `aggregate-data` tool}\n- _\"Update all movies from 1994 to add a 'classic' field set to true\"_
\n ^{➥ Uses `modify-document` tool with update operation}\n\n#### Example Queries: Airbnb Data Exploration\n\n- _\"Switch to sample_airbnb database\"_
\n ^{➥ Uses `use-database` tool}\n- _\"Get collection statistics for the listingsAndReviews collection\"_
\n ^{➥ Uses `get-stats` tool with collection target}\n- _\"What's the validation rules for the listingsAndReviews collection?\"_
\n ^{➥ Uses `collection-validation` resource}\n- _\"Show me the indexes on the listingsAndReviews collection\"_
\n ^{➥ Uses `collection-indexes` resource}\n- _\"Find listings with more than 5 bedrooms in Manhattan, limited to 10 results\"_
\n ^{➥ Uses `find-documents` tool}\n- _\"Get distinct property types in the listings\"_
\n ^{➥ Uses `distinct-values` tool}\n- _\"Help me create a query filter to find superhosts with pool amenities\"_
\n ^{➥ Uses `query-builder` prompt}\n- _\"Export the top 20 highest-rated listings in Brooklyn as CSV with name, price, and rating\"_
\n ^{➥ Uses `export-data` tool}\n- _\"Is my schema optimized for querying by neighborhood? Analyze and give recommendations\"_
\n ^{➥ Uses `schema-analysis` prompt}\n- _\"Rename the reviews collection to guest_reviews\"_
\n ^{➥ Uses `rename-collection` tool}\n\n#### Example Queries: Weather Data Operations\n\n- _\"Switch to sample_weatherdata database\"_
\n ^{➥ Uses `use-database` tool}\n- _\"What's in the schema of the data collection?\"_
\n ^{➥ Uses `collection-schema` resource}\n- _\"Find the highest recorded temperatures with a callLetters of 'SHIP'\"_
\n ^{➥ Uses `find-documents` tool}\n- _\"Validate the data collection for inconsistencies\"_
\n ^{➥ Uses `validate-collection` tool}\n- _\"Insert a new weather record for today\"_
\n ^{➥ Uses `modify-document` tool with insert operation}\n- _\"Create a new collection called weather_summary\"_
\n ^{➥ Uses `create-collection` tool}\n- _\"Create index recommendation for queries that filter by callLetters and sort by date\"_
\n ^{➥ Uses `index-recommendation` prompt}\n- _\"Show me how to write a MapReduce operation to get average temperatures by day\"_
\n ^{➥ Uses `mongo-shell` prompt}\n- _\"Run this MapReduce to calculate average pressure by location\"_
\n ^{➥ Uses `map-reduce` tool}\n- _\"Delete all weather readings below -50 degrees\"_
\n ^{➥ Uses `modify-document` tool with delete operation}\n\n#### Example Queries: Bulk Operations & Data Modeling\n\n- _\"Switch to sample_training database\"_
\n ^{➥ Uses `use-database` tool}\n- _\"Execute a bulk operation to update multiple post documents to add 'edited' flags\"_
\n ^{➥ Uses `bulk-operations` tool}\n- _\"How should I model a social media application in MongoDB?\"_
\n ^{➥ Uses `data-modeling` prompt}\n- _\"Perform a bulk insertion of new product records in the supplies database\"_
\n ^{➥ Uses `bulk-operations` tool}\n- _\"Show me how to use MongoDB Lens with the MCP Inspector\"_
\n ^{➥ Uses `inspector-guide` prompt}\n- _\"What's the optimal data model for a multi-tenant SaaS application with heavy analytical queries?\"_
\n ^{➥ Uses `data-modeling` prompt}\n\n#### Example Queries: Administrative Operations\n\n- _\"Switch to the admin database\"_
\n ^{➥ Uses `use-database` tool}\n- _\"Show me the server status\"_
\n ^{➥ Uses `server-status` resource}\n- _\"Display the replica set configuration\"_
\n ^{➥ Uses `replica-status` resource}\n- _\"List all users in the database\"_
\n ^{➥ Uses `database-users` resource}\n- _\"Get any stored JavaScript functions\"_
\n ^{➥ Uses `stored-functions` resource}\n- _\"Perform a security audit on my MongoDB deployment\"_
\n ^{➥ Uses `security-audit` prompt}\n- _\"What's a good backup strategy for my MongoDB instance?\"_
\n ^{➥ Uses `backup-strategy` prompt}\n- _\"How would I migrate from MongoDB 4.4 to 6.0?\"_
\n ^{➥ Uses `migration-guide` prompt}\n\n## Disclaimer\n\nMongoDB Lens:\n\n- is licensed under the [MIT License](./LICENSE).\n- is not affiliated with or endorsed by MongoDB, Inc.\n- is written with the assistance of AI and may contain errors.\n- is intended for educational and experimental purposes only.\n- is provided as-is with no warranty or support—use at your own risk.\n","url","https://github.com/furey/mongodb-lens","githubRepository",{"_96":97,"_98":99,"_100":101,"_102":103,"_104":105,"_109":110,"_111":112,"_115":110},"defaultBranch","main","fullName","furey/mongodb-lens","githubTreeId",80458,"language","JavaScript","owner",{"_106":107,"_108":31},"login","furey","verified","recentStargazers",4,"spdxLicense",{"_113":114},"name","MIT License","stargazers","id",1738,"inspectable","MongoDB Lens","npmPackage","prompts","redditPostForeignId","relatedMcpServerIds",[125,126,127,128,129,130],1430,1457,1569,260,259,496,"resources","scores",{"_134":135,"_136":-5,"_137":-5},"license",100,"quality","security","simpleIcon","supportedPlatforms",[141,142],"MACOS","WINDOWS","tools","hniehmvmgn","updatedAt",["D",1741759465348],"meta",[149,152,154,161,164,166,169,172,175,178,181,183,186,189,191,193,195,197,199],{"_150":151},"title","MongoDB Lens | Glama",{"_153":86,"_113":77},"content",{"_155":156,"_157":158,"_159":160},"href","https://glama.ai/mcp/servers/hniehmvmgn","rel","canonical","tagName","link",{"_153":119,"_162":163},"property","og:title",{"_153":86,"_162":165},"og:description",{"_153":167,"_162":168},"https://glama.ai/logo.png","og:logo",{"_153":170,"_162":171},"https://glama.ai/mcp/servers/hniehmvmgn/og-image","og:image",{"_153":173,"_162":174},"630","og:image:height",{"_153":176,"_162":177},"1200","og:image:width",{"_153":179,"_162":180},"website","og:type",{"_153":156,"_162":182},"og:url",{"_153":184,"_162":185},"ChatGPT alternative for power users","og:site_name",{"_153":187,"_113":188},"summary_large_image","twitter:card",{"_153":184,"_113":190},"twitter:title",{"_153":86,"_113":192},"twitter:description",{"_153":170,"_113":194},"twitter:image",{"_153":173,"_113":196},"twitter:image:height",{"_153":176,"_113":198},"twitter:image:width",{"_200":201},"script:ld+json",{"_202":203,"_204":205},"@context","http://schema.org","@graph",[206],{"_202":207,"_208":209,"_210":211},"https://schema.org","@type","BreadcrumbList","itemListElement",[212,219,223,227],{"_208":213,"_214":215,"_113":216,"_217":218},"ListItem","item","https://glama.ai/","Glama","position",1,{"_208":213,"_214":220,"_113":221,"_217":222},"https://glama.ai/mcp","MCP",2,{"_208":213,"_214":224,"_113":225,"_217":226},"https://glama.ai/mcp/servers","Servers",3,{"_208":213,"_214":156,"_113":119,"_217":110},"routes/_public/mcp/servers/~uid/_pages/_explorer/blob/~branch/~/_route",{"_230":231,"_235":97,"_60":236,"_251":252,"_253":254},"blob",{"_153":232,"_233":234},".DS_Store\nnode_modules/\n.dockerhub/\n.github/\n.git/\n.gitignore\nrepomix*\n","fileName",".dockerignore","branch",{"_62":237,"_64":238,"_42":242,"_85":86,"_87":86,"_88":243,"_94":244,"_116":117,"_118":31,"_113":119,"_120":-5,"_121":-5,"_122":-5,"_123":247,"_131":-5,"_132":248,"_138":-5,"_139":249,"_143":-5,"_46":144,"_145":250},["D",1741534522049],{"_66":67,"_68":239,"_70":240},[],{"_72":241},{"_66":74,"_75":76,"_77":78},[80,81,82,83,84],{"_90":91,"_92":93},{"_96":97,"_98":99,"_100":101,"_102":103,"_104":245,"_109":110,"_111":246,"_115":110},{"_106":107,"_108":31},{"_113":114},[125,126,127,128,129,130],{"_134":135,"_136":-5,"_137":-5},[141,142],["D",1741759465348],"path","","treeMembers",[255,258,260,262,263,265,267,269,271,273],{"_251":256,"_66":257},".dockerhub","tree",{"_251":259,"_66":257},".github",{"_251":261,"_66":230},"Dockerfile",{"_251":234,"_66":230},{"_251":264,"_66":230},".gitignore",{"_251":266,"_66":230},"LICENSE",{"_251":268,"_66":230},"mongodb-lens.js",{"_251":270,"_66":230},"package.json",{"_251":272,"_66":230},"package-lock.json",{"_251":274,"_66":230},"README.md","actionData","errors"]