이 가이드 에서는 AI 클라이언트 에서 MongoDB MCP 서버를 구성하고 사용하여 시작하는 방법을 학습 .
전제 조건
MongoDB MCP 서버 사용하려면 다음이 필요합니다.
Atlas cluster 또는 자체 호스팅 MongoDB deployment.
자세한 학습 은 클러스터 만들기 또는 MongoDB 설치를 참조하세요.
버전 20.19.0 이상.
버전 22을 사용해야 하는 경우 버전 22.12.0 이상을 설치합니다.
그렇지 않으면 모든 버전 23 이상입니다.
참고
또는 Node.js를 설치할 필요가 없는 Docker 컨테이너 에서 서버 실행 수 있습니다. 자세한학습 은 Docker 사용하기를 참조하세요.
MCP 서버 구성
다음 단계를 완료하여 MongoDB MCP 서버를 구성합니다.
드롭다운 메뉴에서 MCP 클라이언트 및 MongoDB deployment 유형을 선택하여 해당 구성 단계를 확인합니다. 선호하는 클라이언트 목록에 없는 경우 이 단계를 지침으로 사용하고 특정 단계는 해당 클라이언트 의 설명서를 참조하세요.
팁
VS Code 사용하시나요?
VS Code 사용하는 경우, MongoDB VS Code 확장에는 자동 설정 및 연결 관리 을 갖춘 MongoDB MCP 서버가 포함되어 있습니다. 자세한 학습 은 VS Code 확장의 MongoDB MCP 서버를 참조하세요.
참고
MCP 서버 구성 파일 예제에는 데이터에 대한 읽기 전용 액세스 보장하기 위해 --readOnly
가 포함되어 있습니다. 일반적으로 데이터 변경을 방지하려면 읽기 전용 모드 활성화 .
쓰기 (write) 작업을 활성화 하려면 --readOnly
를 생략하거나 운영 체제 환경 변수 MDB_MCP_READ_ONLY
를 false
로 설정하다 . 자세한 내용은 MCP 서버 읽기 전용 모드 활성화를 참조하세요.
MCP 서버 구성 파일 예제에서는 type
필드 "stdio"
로 설정하다 .
type
다음 중 하나로 설정하다 수 있습니다.
"stdio"
, MCP 서버와의 통신을 위해 표준 입력 및 출력을 사용합니다.stdio
은 대부분의 AI 클라이언트에 적합합니다. 일반적으로stdio
을 사용합니다."http"
, MCP 서버와의 HTTP 통신을 활성화합니다. 그런 다음 HTTP 사용하여 웹 클라이언트 에서 MCP 서버와 상호 작용 수 있습니다.경고
HTTP는 인증 및 보안을 구현하지 않은 프로덕션 용도에는 권장되지 않습니다.
MCP 서버 구성 파일 예제에서는 MCP 서버 이름도 "MongoDB"
(으)로 설정하다 . MCP 서버를 시작한 후 MCP 서버의 이름과 일치하도록 서버 이름을 변경할 수 있습니다. 서버 이름은 AI 클라이언트 에 MCP 서버를 식별합니다.
MCP 서버 사용
MongoDB MCP 서버를 구성한 후 이를 사용하여 AI 클라이언트 의 배포 및 MongoDB 데이터와 상호 작용 .
MCP 서버 도구를 테스트합니다.
AI 클라이언트 에서 프롬프트를 실행하여 MongoDB MCP 서버 도구를 테스트합니다. 정확한 응답은 MongoDB deployment 의 데이터와 사용 중인 AI 클라이언트 및 모델에 따라 달라집니다. 다음 샘플 프롬프트는 MCP 서버 MongoDB deployment 에 대한 읽기 및 쓰기 (write) 액세스 모두 있다고 가정합니다.
먼저 다음 프롬프트를 실행 하여 작업할 새 데이터베이스 와 컬렉션 만듭니다.
Create a new MongoDB collection named "products" and insert some sample data into the collection with the following fields: - name (string) - price (number) - category (string) - quantity (number) - inStock (boolean) I'll help you insert sample data into a MongoDB collection named "products" with the specified fields. Let me set this up for you. Ran `list-databases` - MongoDB (MCP Server) I'll create a sample database called "sample_store" and insert some product data into a "products" collection. Let's create the collection first: Ran `create-collection` - MongoDB (MCP Server) Now I'll insert sample product data into the "products" collection with all the required fields: Ran `insert-many` - MongoDB (MCP Server) Let's verify the data was inserted properly by querying the collection: Ran `find` - MongoDB (MCP Server) The sample data has been successfully inserted into the "products" collection. Here are some details of the inserted documents: Laptop: Price: $1,299.99 Category: Electronics Quantity: 15 InStock: true Smartphone: Price: $799.99 Category: Electronics Quantity: 25 InStock: true Headphones: Price: $149.99 Category: Audio Quantity: 40 InStock: true ... 이제 샘플 데이터가 포함된 MongoDB 컬렉션 있으므로 프롬프트를 실행 MCP 도구를 사용하여 컬렉션과 상호 작용 .
AI 클라이언트 에서 다음 프롬프트를 실행하여 언어 로 데이터를 탐색하고 쿼리 .
Explain the schema of the "products" collection and provide a summary of the data.
I'll help you explain the schema of the "products" collection and provide a summary of the data. Let me interact with your MongoDB database through the MCP server to get this information. Ran `collection-schema` - MongoDB (MCP Server) Now, let me fetch some sample data from the collection to provide you with a summary: Ran `find` - MongoDB (MCP Server) Let's also get a count of the total number of documents in the collection: Ran `count` - MongoDB (MCP Server) Let me get some aggregated statistics about the data: Ran `aggregate` - MongoDB (MCP Server) Ran `aggregate` - MongoDB (MCP Server) Schema and Data Summary for the "products" Collection Schema Overview The "products" collection has the following schema: 1. _id: ObjectId - MongoDB's default unique identifier for each document 2. name: String - The name of the product 3. price: Number - The price of the product in USD 4. category: String - The category the product belongs to 5. quantity: Number - The available quantity of the product 6. inStock: Boolean - Flag indicating whether the product is in stock or not Data Summary Overall Statistics: - Total number of products: 10 - Products in stock: 8 - Products out of stock: 2 - Categories Distribution: - Electronics: 3 products (Laptop, Smartphone, Gaming Console) - Audio: 2 products (Headphones, Bluetooth Speaker) - Kitchen: 2 products (Coffee Maker, Blender) - Furniture: 1 product (Office Chair) - Home: 1 product (Desk Lamp) - Wearables: 1 product (Fitness Tracker) Price Range: - Lowest priced item: $29.99 (Desk Lamp) - Highest priced item: $1,299.99 (Laptop) Inventory Status: - Total inventory quantity: 153 items - Average price across all products: approximately $313.99 - Products with zero quantity: 2 (Fitness Tracker, Blender) - these are marked as out of stock Category Insights: - Electronics has the highest average price at approximately $866.66 - Audio products have the highest total quantity (60 items) - All zero-quantity products are correctly marked as out of stock (false) This collection appears to be a simple product catalog for a store with various categories of merchandise, including pricing and inventory information
Find all products in the "products" collection that are out of stock and update them to "in stock".
I'll help you find all products in the "products" collection that are out of stock and update them to be in stock. Let me interact with your MongoDB database through the MCP server to accomplish this. First, let's find all products that are currently out of stock: Ran `find` - MongoDB (MCP Server) Now I'll update these out-of-stock products to be in stock. For this example, I'll also set a reasonable quantity value for each item: Ran `update-many` - MongoDB (MCP Server) Let's verify the updates by checking all products that were previously out of stock: Ran `find` - MongoDB (MCP Server) Great! I've successfully: 1. Found all products that were out of stock (2 products): - Fitness Tracker (Wearables category) - Blender (Kitchen category) 2. Updated these products to: - Set them as in stock (inStock: true) - Set their quantity to 10 units each The update has been completed successfully, and both products are now marked as in stock with 10 units available for each. The MongoDB update operation matched 2 documents and modified 2 documents, confirming that all out-of-stock products have been updated as requested.
Atlas cluster 가 있고 Atlas 전용 MCP 도구를 활성화한 경우 AI 클라이언트 에서 다음 프롬프트를 실행 몇 가지 관리 작업을 수행합니다.
List all my organizations, projects, and clusters in Atlas.
I'll help you list all your MongoDB Atlas organizations, projects, and clusters. Let me retrieve that information for you. Ran `atlas-list-orgs` - MongoDB (MCP Server) Now that I've found your organization, let me list all the projects under it. Ran `atlas-list-projects` - MongoDB (MCP Server) Now, let me list all the clusters across all your projects: Ran `atlas-list-clusters` - MongoDB (MCP Server) Let me get more detailed information about each of your clusters: Ran `atlas-inspect-cluster` - MongoDB (MCP Server) Summary of Your Atlas Resources Organization - MongoDB (ID: <your-org-id>) Projects (2) - Sample Project (ID: <proj-id-1>) - Test Project (ID: <proj-id-2>) Clusters (2) 1. Cluster0 (in Sample Project) - Type: DEDICATED - Tier: M20 - State: UPDATING - MongoDB Version: 8.1.1 - Connection String: <connection-string-1> 2. Cluster1 (in Test Project) - Type: FREE - Tier: N/A - State: IDLE - MongoDB Version: 8.0.10 - Connection String: <connection-string-2>
Create a new database user with read-only access to the "products" collection, then add my current IP address to my cluster's access list.
I'll help you create a new database user with read-only access to the "products" collection and add your current IP address to your cluster's access list. Let me do this step-by-step. Ran `atlas-list-orgs` - MongoDB (MCP Server) First, I need to get information about your available Atlas projects to determine where to create the database user. Ran `atlas-list-projects` - MongoDB (MCP Server) Now, let's check which clusters are available: Ran `atlas-list-clusters` - MongoDB (MCP Server) Let's create a new database user with read-only access to the "products" collection in the Project with the Cluster. I'll create a user named "products_readonly": Ran `atlas-create-db-user` - MongoDB (MCP Server) Great! Now let's add your current IP address to the cluster's access list: Ran `atlas-create-access-list` - MongoDB (MCP Server) Let's verify the IP was added by checking the access list: Ran `atlas-inspect-access-list` - MongoDB (MCP Server) Perfect! Now let's also verify the user was created by listing all database users: Ran `atlas-list-db-users` - MongoDB (MCP Server) Summary of Actions Completed 1. Created a new database user: - Username: products_readonly - Password: <generated-password> (save this in a secure location) - Access: Read-only access to the "products" collection in the "sample_store" database - Project: Project (ID: <proj-id>) - Cluster: Sample Cluster 2. Added your current IP address to the cluster's access list: - IP Address: <your-ip-address> - Project: Sample Project (ID: <proj-id>) - Comment: "Added for products_readonly user" The new user can now connect to your Atlas cluster and read data from the "products" collection, but cannot modify it. Your IP address has been added to the access list, allowing you to connect to the cluster from your current location.
다음 프롬프트를 실행하여 MongoDB 데이터와 관련된 코드를 생성합니다. 스키마 및 데이터 구조와 같은 컨텍스트를 제공하면 보다 정확한 코드 생성이 가능하여 환각이 줄어들고 에이전트 기능이 향상됩니다.
Review the schema of the "products" collection, then generate a Javascript function that updates the "inStock" field to `false` when a product reaches a quantity of 0.
I'll first review the schema of the "products" collection to understand its structure, then generate a Javascript function to update the "inStock" field to false when a product reaches a quantity of 0. Ran `collection-schema` - MongoDB (MCP Server) Now let me get some sample data from the collection to better understand the current state of the documents: Ran `find` - MongoDB (MCP Server) Based on the schema and sample data, I'll now generate a Javascript function that: - Monitors the products collection - Updates the "inStock" field to false when a product's quantity reaches 0 - Provides appropriate error handling and logging Here's the Javascript function: ``` /** * Updates the inStock field to false when a product's quantity reaches 0 * * This function can be used in two ways: * 1. As a one-time update to sync all products (updateAllProducts) * 2. As an automated trigger after any update operation (setupUpdateTrigger) * * @param {Object} client - MongoDB client instance * @param {string} dbName - Database name (default: 'sample_store') * @param {string} collectionName - Collection name (default: 'products') * @returns {Promise} Promise that resolves when the operation completes */ async function updateProductStockStatus(client, dbName = 'sample_store', collectionName = 'products') { try { // Get reference to the database and collection const db = client.db(dbName); const collection = db.collection(collectionName); // Find all products with quantity 0 but still marked as in stock const result = await collection.updateMany( { quantity: 0, inStock: true }, { $set: { inStock: false } } ); console.log(`Updated ${result.modifiedCount} products to out of stock`); return result; } catch (err) { console.error('Error updating product stock status:', err); throw err; } } /** * Sets up a change stream to automatically update inStock status * when quantity changes to 0 * * @param {Object} client - MongoDB client instance * @param {string} dbName - Database name (default: 'sample_store') * @param {string} collectionName - Collection name (default: 'products') * @returns {ChangeStream} The change stream object */ async function setupUpdateTrigger(client, dbName = 'sample_store', collectionName = 'products') { ... (truncated)
문제 해결
MCP 서버 구성에 문제가 있는 경우 MongoDB MCP 서버 문제 해결을 참조하세요.
다음 단계
전체 구성 옵션과 사용 가능한 연장은 MCP 서버 구성 및 연결 및 지원되는연장을 참조하세요.
더 많은 사용 예시는 MongoDB MCP 서버 사용 예시를 참조하세요.