M

MCP Database Server

An MCP service for JSON document storage based on the Fireproof database
2.5 points
29

What is the Fireproof JSON Document Server?

The Fireproof JSON Document Server is a lightweight JSON data storage service that allows you to create, read, update, and delete JSON documents. It also supports sorted queries on documents based on any field.

How to use the Fireproof JSON Document Server?

By installing dependencies and running the server script, you can easily integrate this service into your Model Context Protocol (MCP) system.

Applicable Scenarios

Suitable for application scenarios that require rapid construction of small JSON data storage, such as prototype development, small projects, or experimental applications.

Main Features

Create and ReadSupports adding new documents and retrieving existing documents.
Update and DeleteAllows modifying existing documents or removing unwanted data.
Sorted QueryAllows users to sort the document list based on any field.

Advantages and Limitations

Advantages
Easy to deploy and use
Supports multiple data operations
Suitable for small project requirements
Limitations
Not suitable for large-scale data processing
Relatively basic functionality with limited scalability

How to Use

Install Dependencies
Run `npm install` and `npm build` to install the necessary dependencies.
Configure the Server
Add the server path to the configuration file, for example: `~/Library/Application Support/Claude/claude_desktop_config.json`.
Start the Debugging Tool
Use `npm run inspector` to start the MCP Inspector tool to monitor the server status.

Usage Examples

Create a DocumentInsert a new JSON document into the database.
Query DocumentsFilter documents by the specified field and return the results.

Frequently Asked Questions

How to install the Fireproof JSON Document Server?
Does it support large-scale data processing?

Related Resources

Fireproof Official Website
Visit the Fireproof official website for more details.
Model Context Protocol
View the official repository of the MCP protocol.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
Featured MCP Services
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
97
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
150
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
838
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
573
5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
761
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase