Fireproof

by fireproof-storage

17 stars
354 downloads
Not rated
GitHub

About

Fireproof database integration for a flexible JSON document store with CRUD operations.

Details

Author
fireproof-storage
Repository
fireproof-storage/mcp-database-server
GitHub stars
17
Downloads
354
License
Other
Categories
Developer Tools, Database, Other, File Management, Design, Workplace, AI, Search, Communication, Infrastructure, Frontend
Tags
#integration

- Implements a JSON document store.
- Supports CRUD (Create, Read, Update, Delete) operations.
- Allows querying documents sorted by any field.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Fireproof
    Command (node, npx, python, etc.) node
    Arguments
    • Argument 1 /path/to/fireproof-mcp/build/index.js

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

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"
    }
  }
}

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "fireproof": {
            "cwd": "~/Library/Application Support/Claude",
            "env": {},
            "args": [
                "/path/to/fireproof-mcp/build/index.js"
            ],
            "shell": false,
            "command": "node"
        }
    }
}

Linux

{
    "cwd": null,
    "env": [],
    "args": [
        "/path/to/fireproof-mcp/build/index.js"
    ],
    "shell": false,
    "command": "node"
}

Macos

{
    "cwd": "~/Library/Application Support/Claude",
    "env": [],
    "args": [
        "/path/to/fireproof-mcp/build/index.js"
    ],
    "shell": false,
    "command": "node"
}

Windows

{
    "cwd": "%APPDATA%/Claude",
    "env": [],
    "args": [
        "/path/to/fireproof-mcp/build/index.js"
    ],
    "shell": false,
    "command": "node"
}

Model Context Protocol and Fireproof Demo: JSON Document Server

This is a simple example of how to use aFireproofdatabase in aModel Context Protocolserver (used for plugging code and data into A.I. systems such asClaude 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.

To use with Claude Desktop, add the server config:

On MacOS:~/Library/Application Support/Claude/claude_desktop_config.jsonOn 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 theMCP Inspector, which is available as a package script:

The Inspector will provide a URL to access debugging tools in your browser.

Infino — keyword, vector, hybrid, and SQL retrieval over data on object storage, for AI agents.

Infino — keyword, vector, hybrid, and SQL retrieval over data on object storage, for AI agents.

A decentralized memory layer for AI agents providing secure, persistent storage for conversation history and knowledge.

Official MCP server for the Nhost backend platform — manage Postgres data, GraphQL, auth, storage, migrations and Hasura metadata via AI assistants.

Run SQL queries on data in Amazon S3 using AWS Athena.

An MCP server for interacting with Azure Table Storage, requiring an Azure Storage connection string.

Manage multiple Fireproof JSON document databases with cloud sync capabilities.

An MCP server for interacting with Apache Iceberg catalogs and data lakes.

MCP Memory Server - Python Implementation

A Python implementation of the MCP memory server for knowledge graph storage and retrieval, using JSONL files for persistence.

Allow your agent to connect to Pocketbase with ease.

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.