MCP and Fireproof Demo: JSON Document Collection Server

@jimpick

Repository

Basic information

About MCP and Fireproof Demo: JSON Document Collection Server

Use Model Context Protocol with multiple Fireproof JSON document databases

#mcp-json-db-collection-server#fireproof#database

MCP and Fireproof Demo: JSON Document Collection Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "json-db-collections": {
      "command": "npx",
      "args": [
        "-y",
        "@jimpick/mcp-json-db-collection-server"
      ]
    }
  }
}

MCP and Fireproof Demo: JSON Document Collection Server tools

Create a JSON document database

Delete a JSON document database

Connect a JSON document database to cloud sync service. Show the dashboard URL after connecting.

Returns the list of JSON document databases. Use this to understand which databases are available before trying to access JSON documents.

Save a JSON document to a document database

Query JSON documents sorted by a field from a document database. If no sortField is provided, use the _id field.

Load a JSON document by ID from a document database

Delete a JSON document by ID from a document database

Connect a JSON document database to cloud sync service

Overview

What is Model Context Protocol and Fireproof Demo: JSON Document Collection Server?

This is an MCP server that uses Fireproof databases to enable creation and management of multiple JSON document collections with full CRUD operations and cloud sync capabilities. It is designed for use with AI systems like Claude Desktop.

How to use Model Context Protocol and Fireproof Demo: JSON Document Collection Server?

Install dependencies with npm install, build with npm build, then add the server configuration to your Claude Desktop config file (claude_desktop_config.json) pointing to the built build/index.js.

Key features of Model Context Protocol and Fireproof Demo: JSON Document Collection Server

Create multiple named JSON document databases.
Perform full CRUD (Create, Read, Update, Delete) on documents.
Query documents sorted by any field.
Sync databases to Fireproof Cloud for sharing via dashboard URLs.
Integrates seamlessly with Claude Desktop and MCP-compatible AI systems.

Use cases of Model Context Protocol and Fireproof Demo: JSON Document Collection Server

Building a structured knowledge base (e.g., periodic table elements, recipes).
Collaboratively editing and syncing document collections via cloud.
Integrating personal data management into AI assistant conversations.
Experimenting with MCP and Fireproof for custom database-driven applications.

Frequently asked questions

How does this server differ from the base Fireproof MCP database server?

This server adds support for multiple separate databases (each with its own documents) and the ability to sync any database to Fireproof Cloud. The base server only supported a single database.

How do I sync a database to the cloud?

Use the command “sync <database_name> to cloud” in your AI assistant. The server will connect the database and provide a dashboard URL for remote access.

Can I list all existing databases?

Yes, use the command “list json document dbs” to see all created databases in the current session.

How do I delete databases?

Use the command “delete all databases” to remove every database, or delete individual databases through appropriate commands shown in the chat examples.

What runtime and dependencies are required?

Node.js and npm (or pnpm) are required. The server is built and run locally, with data stored in Fireproof (local store, optionally synced to cloud).

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