by fireproof-storage
A simple JSON document store offering CRUD operations and field‑based sorting, designed to run as an MCP server for integration with AI tools.
What is Fireproof JSON Document Server about? Provides a lightweight server that stores JSON documents using Fireproof, exposing create, read, update, delete, and sorted query capabilities through the Model Context Protocol.
How to use Fireproof JSON Document Server?
npm install
npm run build
index.js or, with the provided serverConfig, run via npx.npm run inspector
Key features of Fireproof JSON Document Server
Use cases of Fireproof JSON Document Server
FAQ from the Fireproof JSON Document Server
npm run inspector) which provides a web UI for inspecting stdio messages.This is a simple example of how to use a Fireproof database in a Model Context Protocol server (used for plugging code and data into A.I. systems such as Claude Desktop).
This demo server implements a basic JSON document store with CRUD operations (Create, Read, Update, Delete) and the ability to query documents sorted by any field.
Install dependencies:
npm install
npm build
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"fireproof": {
"command": "/path/to/fireproof-mcp/build/index.js"
}
}
}
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
Please log in to share your review and rating for this MCP.
{
"mcpServers": {
"fireproof": {
"command": "npx",
"args": [
"-y",
"fireproof-mcp"
],
"env": {}
}
}
}claude mcp add fireproof npx -y fireproof-mcpExplore related MCPs that share similar capabilities and solve comparable challenges
by googleapis
An MCP server that streamlines database tool development by handling connection pooling, authentication, observability, and secure access, allowing agents to interact with databases via natural language.
by bytebase
Provides a universal gateway that lets MCP‑compatible clients explore and query MySQL, PostgreSQL, SQL Server, MariaDB, and SQLite databases through a single standardized interface.
by designcomputer
Enables secure interaction with MySQL databases via the Model Context Protocol, allowing AI applications to list tables, read contents, and execute queries safely.
by benborla
Provides read‑only access to MySQL databases for large language models, allowing schema inspection and safe execution of SQL queries.
by neo4j-contrib
Enables natural‑language interaction with Neo4j databases, allowing large language models to query, modify, and manage graph data through multiple transport modes.
by mongodb-js
Provides a Model Context Protocol server that enables interaction with MongoDB databases and MongoDB Atlas clusters through a unified API.
by ClickHouse
Enables AI assistants to run read‑only ClickHouse queries, list databases and tables, and execute embedded chDB queries through an MCP interface.
by neondatabase
Interact with Neon Postgres databases using natural language commands through the Model Context Protocol, enabling conversational database creation, migration, and query execution.
by motherduckdb
Enables SQL analytics on DuckDB and MotherDuck databases via a Model Context Protocol server, allowing AI assistants and IDEs to query data directly.