Can I use this for non-MCP REST APIs?

While optimized for MCP, the skill applies Leonard Richardson's RESTful principles, making its URI and resource modeling patterns useful for general API design.

What is the MCP Resource Protocol?

It is a specification within the Model Context Protocol that defines how servers can expose data (resources) to AI clients in a standardized, URI-addressable way.

Does this skill support TypeScript implementation?

Yes, it includes specialized TypeScript templates for implementing resource providers and scripts for validating resource definitions.

How does it handle API security?

The skill includes patterns for preventing path traversal vulnerabilities and enforcing scheme-based allowlists to ensure agents only access authorized resources.

MCP Resource API Designer

Name: MCP Resource API Designer
Author: daishiman

bydaishiman

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API 开发

Architects and implements Model Context Protocol (MCP) resource-oriented APIs using standardized URI schemes and provider patterns.

关于

This skill facilitates the end-to-end development of MCP resource APIs by providing a structured framework for URI design, resource modeling, and provider implementation. It ensures strict adherence to RESTful principles and the MCP Resource Protocol while offering built-in validation scripts and optimization strategies like caching and security auditing. By following its multi-phase workflow, developers can build scalable, secure, and predictable resource interfaces that allow AI agents to navigate complex data structures efficiently.

主要功能

Automated validation scripts for resource definitions and URI formats
Comprehensive multi-layer caching and resource transformation strategies
Standardized URI scheme design for hierarchical resource access
2 GitHub stars
MCP-compliant resource provider implementation templates
Built-in security checks to prevent path traversal and scheme vulnerabilities

使用场景

Optimizing AI tool performance using resource transformation and caching patterns
Designing hierarchical file system abstractions for secure AI agent access
Building custom MCP servers to expose internal databases as navigable resources

关于

主要功能

Automated validation scripts for resource definitions and URI formats
Comprehensive multi-layer caching and resource transformation strategies
Standardized URI scheme design for hierarchical resource access
2 GitHub stars
MCP-compliant resource provider implementation templates
Built-in security checks to prevent path traversal and scheme vulnerabilities

使用场景

Optimizing AI tool performance using resource transformation and caching patterns
Designing hierarchical file system abstractions for secure AI agent access
Building custom MCP servers to expose internal databases as navigable resources