MCP Datastore Server
An MCP server that enables interaction with Google Firestore in Datastore mode for entity management and querying. It provides tools for CRUD operations, aggregation queries, and transaction execution within Google Cloud projects.
README
MCP Datastore Server
A Model Context Protocol (MCP) server that provides access to Google Firestore in Datastore mode.
Features
This MCP server exposes the following tools for interacting with Google Cloud Datastore:
Entity Operations
- datastore_get: Get an entity by kind and key
- datastore_insert: Insert a new entity
- datastore_update: Update an existing entity
- datastore_upsert: Insert or update an entity
- datastore_delete: Delete an entity by kind and key
Query Operations
- datastore_query: Query entities with filters and ordering
- datastore_runAggregationQuery: Run aggregation queries (count, sum, avg)
- datastore_listKinds: List all entity kinds (types) in the Datastore
Key Operations
- datastore_allocateIds: Allocate IDs for incomplete keys
- datastore_createKey: Create a complete or incomplete key
Transaction Operations
- datastore_runInTransaction: Execute multiple operations in a transaction
Setup
Prerequisites
- A Google Cloud project with Datastore API enabled
- Service account credentials with appropriate Datastore permissions
Installation
npm install
npm run build
Configuration
Set the following environment variables:
# Path to your service account JSON key file
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account-key.json
# Your Google Cloud project ID
export GOOGLE_CLOUD_PROJECT=your-project-id
Or you can provide them when running the server:
GOOGLE_APPLICATION_CREDENTIALS=/path/to/key.json GOOGLE_CLOUD_PROJECT=your-project-id npm start
Usage
Running the Server
npm start
Using with Claude Desktop
Add this to your Claude Desktop configuration file:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"datastore": {
"command": "node",
"args": [
"d:\\projects\\mcp-datastore\\build\\index.js"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "C:\\path\\to\\service-account-key.json",
"GOOGLE_CLOUD_PROJECT": "your-project-id"
}
}
}
}
Tool Examples
Get an Entity
{
"kind": "User",
"keyId": "12345"
}
Insert an Entity
{
"kind": "User",
"data": {
"name": "John Doe",
"email": "john@example.com",
"age": 30
}
}
Query Entities
{
"kind": "User",
"filters": [
{
"property": "age",
"operator": ">",
"value": 25
}
],
"orderBy": [
{
"property": "name",
"descending": false
}
],
"limit": 10
}
Run Aggregation Query
{
"kind": "Order",
"aggregations": [
{
"type": "count",
"alias": "total_orders"
},
{
"type": "sum",
"property": "amount",
"alias": "total_amount"
}
]
}
List Entity Kinds
{
"namespace": "optional-namespace" // Optional: specify namespace to list kinds from
}
This returns all entity kinds (types) in your Datastore, including both user-defined kinds and system metadata kinds (prefixed with __Stat_).
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。