FoodXDevelopment/foodblock-mcp
by Various
A content-addressable protocol for universal food data
MCP
FoodXDevelopment/foodblock-mcp
Added 1 June 2026
Overview
FoodXDevelopment/foodblock-mcp is a JavaScript library that implements a content-addressable protocol for universal food data. It allows developers to reference and retrieve food-related information using unique content hashes rather than traditional identifiers.
Best for
Best for
Developers building decentralized or interoperable food data systems
Use cases
- Building decentralized food databases with content-addressable lookups
- Creating interoperable food data systems across different platforms
- Developing applications that require verifiable and immutable food data references
Notes
FoodXDevelopment/foodblock-mcp is a JavaScript library that implements a content-addressable protocol for universal food data. It allows developers to reference and retrieve food-related information using unique content hashes rather than traditional identifiers.
0 stars on GitHub. Last updated 2026-03-16. Licensed MIT.
Use cases
- Building decentralized food databases with content-addressable lookups
- Creating interoperable food data systems across different platforms
- Developing applications that require verifiable and immutable food data references
Pros
- Content addressing ensures data integrity and deduplication
- Protocol-based approach enables cross-platform compatibility
- Lightweight JavaScript implementation for easy integration
Cons
- Zero stars and no community adoption suggests early or experimental stage
- Limited documentation and examples may hinder onboarding
- Niche use case may not suit general food data applications
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Content addressing ensures data integrity and deduplication
- Protocol-based approach enables cross-platform compatibility
- Lightweight JavaScript implementation for easy integration
Cons
- Zero stars and no community adoption suggests early or experimental stage
- Limited documentation and examples may hinder onboarding
- Niche use case may not suit general food data applications
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