mcp-framework and openrouter-mcp-multimodal

These are ecosystem siblings—the framework (A) provides the foundational infrastructure for building MCP servers, while the multimodal server (B) is an example implementation built using that infrastructure to expose LLM APIs.

mcp-framework
80
Verified
openrouter-mcp-multimodal
68
Established
Maintenance 22/25
Adoption 13/25
Maturity 25/25
Community 20/25
Maintenance 13/25
Adoption 13/25
Maturity 25/25
Community 17/25
Stars: 905
Forks: 103
Downloads:
Commits (30d): 67
Language: TypeScript
License: MIT
Stars: 17
Forks: 10
Downloads: 1,050
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
No risk flags

About mcp-framework

QuantGeekDev/mcp-framework

A framework for writing MCP (Model Context Protocol) servers in Typescript

This framework helps developers create specialized backend services, called MCP servers, that allow AI assistants to perform specific actions. Developers define 'tools' (actions the AI can take), 'resources' (data the AI can access), and 'prompts' (how the AI should respond). The framework processes these definitions and makes them available to AI clients like Claude Desktop or other AI agents, enabling them to execute real-world tasks such as sending cryptocurrency tips.

AI-Assistant-Development Backend-Development API-Development AI-Integration Tool-Development

About openrouter-mcp-multimodal

stabgan/openrouter-mcp-multimodal

MCP server for OpenRouter providing text chat and image analysis tools

This project helps developers integrate advanced AI capabilities into their applications, specifically for handling both text and images. It takes raw text inputs, image files, or image URLs, and produces AI-generated text responses, image analyses, or new images. Developers building applications that need to understand and create visual content alongside text conversations would use this.

AI-powered applications Multimodal AI Generative AI Image processing API integration

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