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mongodb-mcp-setupMongoDB MCP 设置

Agent Skill

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。它适合让 Agent 分析 schema、编写 SQL、排查查询问题、整理索引或生成迁移建议。使用时需要明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除、更新、迁移和批量导入时,应优先 dry-run、备份或事务保护,避免误操作。

总安装

198

周安装

8

GitHub Stars

652

下载量

62
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mongodb-mcp-setup(MongoDB MCP 设置)
来源仓库:https://github.com/fcakyon/claude-codex-settings
仓库路径:skills/mongodb-mcp-setup
安装命令:
npx skills add https://github.com/fcakyon/claude-codex-settings --skill mongodb-mcp-setup
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/fcakyon/claude-codex-settings --skill mongodb-mcp-setup

简介

指导用户配置 MongoDB MCP Server 以实现与代理客户端的连接。

  • 提供连接字符串与 Atlas 服务账户两种认证方式可选方案。
  • 支持动态集群连接与 Atlas Admin API 访问权限自动管理。
  • 未配置认证信息时将引导用户参考文档完成环境初始化步骤。
  • mongodb-mcp-setup 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

MongoDB MCP Server Setup

This skill guides users through configuring the MongoDB MCP server for use with an agentic client.

Overview

The MongoDB MCP server requires authentication. Users have three options:

  1. Connection String (Option A): Direct connection to a specific cluster

- Quick setup for single cluster - Requires MDB_MCP_CONNECTION_STRING environment variable

  1. Service Account Credentials (Option B): MongoDB Atlas Admin API access

- Recommended for Atlas users - simplifies authentication and data access - Access to Atlas Admin API and dynamic cluster connection via atlas-connect-cluster - No manual DB user credential management - Requires MDB_MCP_API_CLIENT_ID and MDB_MCP_API_CLIENT_SECRET environment variables

  1. Atlas Local (Option C): Local development with Docker

- Best for local testing - zero configuration required - Runs Atlas locally in Docker, requires Docker installed - No credentials or cloud cluster access

This is an interactive step-by-step guide. The agent detects the user's environment and provides tailored instructions, but never asks for or handles credentials — users add those directly to their shell profile in Step 5. Make this clear to the user whenever credentials come up in Steps 3a and 3b.

Step 1: Check Existing Configuration

Before starting the setup, check if the user already has the required environment variables configured.

Run this command to check for existing configuration (masking values to avoid exposing credentials):

env | grep "^MDB_MCP" | sed '/^MDB_MCP_READ_ONLY=/!s/=.*/=[set]/'

Interpretation:

  • If MDB_MCP_CONNECTION_STRING is set → connection string auth is configured
  • If both MDB_MCP_API_CLIENT_ID and MDB_MCP_API_CLIENT_SECRET are set → service account auth is configured. If only one is set, treat it as incomplete.
  • If MDB_MCP_READ_ONLY=true → read-only mode is enabled

Partial Configuration Handling:

  • User wants to add read-only to existing setup (has auth, no MDB_MCP_READ_ONLY) → skip to Step 4
  • User wants to switch authentication methods → explain they should remove the old variables from their shell profile first, then proceed with Steps 2–5
  • User wants to update credentials → skip to Step 5 (profile editing instructions)

Important: If the user wants an Atlas Admin API action (managing clusters, creating users, performance advisor) but only has MDB_MCP_CONNECTION_STRING, explain they need service account credentials and offer to walk through setup.

Step 2: Present Configuration Options

If no valid configuration exists, present the options:

Connection String (Option A) — Best for:

  • Single cluster access
  • Existing database credentials
  • Self-hosted MongoDB or no Atlas Admin API needs

Service Account Credentials (Option B) — Best for:

  • MongoDB Atlas users (recommended)
  • Multi-cluster switching
  • Atlas Admin API access (cluster management, user creation, performance monitoring)

Atlas Local (Option C) — Best for:

  • Local development/testing without cloud setup
  • Fastest setup with Docker, no credentials required

Ask the user which option they'd like to proceed with.

Step 3a: Connection String Setup

If the user chooses Option A:

3a.1: Explain How to Find the Connection String

Explain where and how to obtain their connection string:

For MongoDB Atlas:

  1. Go to cloud.mongodb.com
  2. Select your cluster → click Connect
  3. Choose Drivers or Shell → copy the connection string
  4. Replace <username> and <password> with your database user credentials

For self-hosted MongoDB:

  • The connection string is typically configured by your DBA or in your application config
  • Format: mongodb://username:password@host:port/database

Expected formats:

  • mongodb://username:password@host:port/database
  • mongodb+srv://username:password@cluster.mongodb.net/database
  • mongodb://host:port (local, no auth)

Proceed to Step 4 (Determine Read-Only Access).

Step 3b: Service Account Setup

If the user chooses Option B:

3b.1: Guide Through Atlas Service Account Creation

Direct the user to create a MongoDB Atlas Service Account:

Full documentation: https://www.mongodb.com/docs/mcp-server/prerequisites/

Walk them through the key steps:

  1. Navigate to MongoDB Atlascloud.mongodb.com
  2. Go to Access ManagerService AccountsCreate Service Account
  3. Set Permissions — Grant Organization Member or Project Owner (see docs for exact permission mappings)
  4. Generate Credentials — Create Client ID and Secret

- ⚠️ The Client Secret is shown only once — save it immediately before leaving the page

  1. Note both values — you'll need Client ID and Client Secret for Step 5

3b.2: API Access List Configuration

⚠️ CRITICAL: The user MUST add their IP address to the service account's API Access List, or all Atlas Admin API operations will fail.

Steps:

  1. On the service account details page, find API Access List
  2. Click Add Access List Entry
  3. Add your current IP address. Use a specific IP or CIDR range whenever possible.

- ⚠️ 0.0.0.0/0 allows access from any IP — this is a significant security risk. Only use it as a last resort for temporary testing and remove it immediately afterward. It should never be used in production.

  1. Save changes

This is more secure than global Network Access settings as it only affects API access, not database connections.

Proceed to Step 4 (Determine Read-Only Access).

Step 3c: Atlas Local Setup

If the user chooses Option C:

3c.1: Check Docker Installation

Verify Docker is installed:

docker info

If not installed, direct them to: https://www.docker.com/get-started

3c.2: Confirm Setup Complete

Atlas Local requires no credentials — the user is ready to go:

  • Create deployments: atlas-local-create-deployment
  • List deployments: atlas-local-list-deployments
  • All operations work out of the box with Docker

Skip Steps 4 and 5 (no configuration needed) and proceed to Step 6 (Next Steps).

Step 4: Determine Read-Only vs Read-Write Access

Only applies to Options A and B. Skip to Step 6 for Option C.

Ask whether they want read-only or read-write access:

  • Read-Write (default): Full data access, modifications allowed

- Best for: Development, testing, administrative tasks

  • Read-Only: Data reads only, no modifications

- Best for: Production data safety, reporting, compliance

If read-only: include export MDB_MCP_READ_ONLY="true" in the profile snippet in Step 5. If read-write: omit MDB_MCP_READ_ONLY (defaults to read-write).

Proceed to Step 5 (Update Shell Profile).

Step 5: Update Shell Profile

Help the user add the environment variables to their shell profile. Do not ask for or handle credentials — provide exact instructions so the user can add them directly.

5.1: Detect Shell and Profile File

If the user is on Windows, assume PowerShell but ask the user to confirm. For Unix/macOS, detect the shell to determine the correct profile file by running:

echo $SHELL

Based on the result, identify the appropriate profile file using your training data. If unsure which shell or profile they are using, ask them to specify the path.

5.2: Show the Exact Snippet to Add

Tell the user to store credentials in a dedicated ~/.mcp-env file (not directly in their shell profile). This keeps credentials out of files that are often group/world readable by default and prevents accidentally committing them to git. Make sure to adapt the path in the instructions to be in the same folder as the shell profile file.

Step 1: Create/edit ~/.mcp-env (e.g. nano ~/.mcp-env) and add:

For Connection String (Option A):

# MongoDB MCP Server Configuration
export MDB_MCP_CONNECTION_STRING="<paste-your-connection-string-here>"

For Service Account (Option B):

# MongoDB MCP Server Configuration (Atlas Service Account)
export MDB_MCP_API_CLIENT_ID="<paste-your-client-id-here>"
export MDB_MCP_API_CLIENT_SECRET="<paste-your-client-secret-here>"

If read-only was chosen (Step 4), also add:

export MDB_MCP_READ_ONLY="true"

Step 2: Restrict permissions on the file so only the owner can read it:

chmod 600 ~/.mcp-env # adapt command for Windows if needed

Step 3: Source the file from the shell profile. Tell the user to open their profile file (e.g. code ~/.zshrc, nano ~/.zshrc) and add this line:

source ~/.mcp-env

Adjust syntax for the detected shell (e.g. for fish: bass source ~/.mcp-env or set variables directly with set -x; for PowerShell: dot-source a .ps1 file instead).

5.3: After Editing — Reload and Verify

Once the user has saved the file, provide the commands to reload and verify:

Reload the profile:

source ~/.zshrc   # adjust path to match their profile file

Verify the variables are set (masking values to avoid exposing credentials):

env | grep "^MDB_MCP" | sed '/^MDB_MCP_READ_ONLY=/!s/=.*/=[set]/'

Expected output should show the variable name(s) they just added, each with =[set]. If nothing appears, check that source ~/.mcp-env is in the profile file, the profile was reloaded, and ~/.mcp-env was saved.

Proceed to Step 6 (Next Steps).

Step 6: Next Steps

For Options A & B (Connection String / Service Account):

  1. Restart the agentic client: Fully quit the client, then in your terminal run source <profile-file> (e.g. source ~/.zshrc, adjust command and path based on the user shell) to load the new variables into the current shell session. Open the client from that same shell session so it inherits the environment.
  2. Verify MCP Server: After restart, test by performing a MongoDB operation.
  3. Using the Tools:

- Option A: Direct database access tools available - Option B: Additionally has Atlas Admin API tools and atlas-connect-cluster - Important (Option B): Ensure your IP is in the service account's API Access List or all API calls will fail

For Option C (Atlas Local):

  1. Ready to use: No restart or configuration needed!
  2. Next steps:

- Create deployments: atlas-local-create-deployment - List deployments: atlas-local-list-deployments - Use standard database operations once connected

Troubleshooting

  • Variables not appearing after source: Check the profile file path and confirm the file was saved
  • Client doesn't pick up variables: Ensure full restart (quit + reopen), not just a reload
  • Invalid connection string format: Re-check the format; must start with mongodb:// or mongodb+srv://
  • Atlas Admin API errors (Option B): Verify your IP is in the service account's API Access List
  • Read-only mode not working: Check MDB_MCP_READ_ONLY=true is set — run env | grep ^MDB_MCP_READ_ONLY
  • fish/PowerShell: Syntax differs — use set -x (fish) or $env: (PowerShell) instead of export

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

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按下载量换算22

Claude

27.01%
按下载量换算17

Cursor

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按下载量换算12

Gemini CLI

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安全审计

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安装前确认

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