AI Agent for Fireproof MCP
Integrate Fireproof database with Model Context Protocol (MCP) to power AI systems like Claude Desktop with robust, scalable JSON document storage. Effortlessly enable CRUD operations, query sorting, and seamless document management as part of your AI workflows.
Effortless JSON Document Storage
Store, retrieve, and manage JSON documents with Fireproof’s reliable database engine. Enable blazing-fast CRUD operations and sorted queries, designed for seamless AI and SaaS integration.
- Full CRUD Support.
- Create, read, update, and delete JSON documents with a simple API optimized for AI system needs.
- Flexible Sorting.
- Query documents and sort by any field to support dynamic AI-driven workflows.
- Cloud-Ready.
- Deploy your document server anywhere—locally or in the cloud—to fit your infrastructure.
- AI-First Design.
- Designed for integration with AI tools like Claude Desktop and Model Context Protocol.
Seamless AI Integration
Plug Fireproof’s JSON store into Model Context Protocol servers for instant compatibility with AI platforms. Simplify configuration across operating systems and get started with Claude Desktop in minutes.
- Easy Configuration.
- Quickly configure Fireproof MCP with Claude Desktop using simple JSON snippets on MacOS or Windows.
- Cross-Platform Support.
- Works seamlessly on both Mac and Windows, ensuring integration flexibility.
- Plug-and-Play for AI.
- Instantly extend your AI platform’s capabilities—no complex setup required.
Robust Debugging & Inspection
Utilize the integrated MCP Inspector for powerful debugging. Access a browser-based interface to visualize and troubleshoot data flow between your AI agent and Fireproof database.
- Visual Inspector.
- The MCP Inspector provides a browser-based interface for visual debugging and data inspection.
- Streamlined Troubleshooting.
- Easily identify and resolve issues in the data pipeline between Fireproof and your AI system.
MCP INTEGRATION
Available Fireproof MCP Integration Tools
The following tools are available as part of the Fireproof MCP integration:
- query_documents
Query and filter JSON documents with support for sorting by any field to find specific data.
- create_document
Add new JSON documents to the store by providing the required fields and data.
- update_document
Modify existing JSON documents by updating specified fields or replacing content.
- delete_document
Remove JSON documents from the database safely by specifying their identifiers.
- get_document
Retrieve a complete JSON document by its unique ID, including all stored fields.
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What is Fireproof
Fireproof is a cloudless, local-first, embedded document database designed for real-time applications. Unlike traditional databases, Fireproof empowers developers to build and deploy web apps directly from the browser with zero setup, while ensuring encrypted live sync across devices and backends. Its architecture fits within the context window of modern LLMs, making it exceptionally lightweight and easy to integrate. Fireproof supports CRUD operations for JSON documents, live queries, and real-time collaboration, with connectors for AWS, Cloudflare, Netlify, and more. Open-source and developer-friendly, Fireproof is designed to streamline rapid development, foster collaboration, and provide persistent, secure storage for structured data in any environment.
Capabilities
What we can do with Fireproof
Fireproof enables a range of powerful capabilities for developers building modern applications. Its local-first approach and live-sync features make it ideal for collaborative, real-time, and secure data management.
- Rapid App Prototyping
- Build and deploy apps instantly from the browser or code editor, reducing setup time to zero.
- Live Collaboration
- Enable real-time data sync and collaboration across users and devices.
- Secure Data Storage
- Store and manage structured JSON documents with encryption and privacy by default.
- Backend Flexibility
- Connect to AWS, Cloudflare, Netlify, or use it entirely in-browser for ultimate portability.
- Rich Integrations
- Use with React, Solid, HTMX, or any modern frontend stack; open-source connectors and starter kits available.
How AI Agents Can Benefit from Fireproof
AI agents can leverage Fireproof to persistently store, query, and manage structured data in real-time, enabling context-aware and collaborative LLM-powered applications. By embedding Fireproof, agents can maintain state, track conversations, and store user preferences or generated content securely, all with minimal infrastructure overhead. Its compatibility with browser and server environments allows AI agents to deploy seamlessly across diverse platforms, supporting advanced use cases like audit logs, prompt management, and collaborative workflows.