model-context-protocol-resources and mcp-tutorial-complete-guide

These are complements: the first provides practical implementations and real-world examples of MCP servers and clients, while the second offers a structured, comprehensive tutorial for building production-ready MCP integrations from first principles.

Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 15/25
Maintenance 2/25
Adoption 4/25
Maturity 15/25
Community 10/25
Stars: 270
Forks: 27
Downloads:
Commits (30d): 0
Language:
License: Apache-2.0
Stars: 6
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About model-context-protocol-resources

cyanheads/model-context-protocol-resources

Exploring the Model Context Protocol (MCP) through practical guides, clients, and servers I've built while learning about this new protocol.

This project provides guides and examples for developers to understand and implement the Model Context Protocol (MCP). It helps you integrate AI applications (like large language models) with external data sources and tools. You'll learn to connect your AI with databases, APIs, and local systems to expand its capabilities. This resource is for software developers building or integrating AI agents and applications.

AI-integration API-development software-development AI-agents protocol-implementation

About mcp-tutorial-complete-guide

CarlosIbCu/mcp-tutorial-complete-guide

Comprehensive guide for building AI tools using Model Context Protocol (MCP). Learn to develop, secure, and deploy production-ready AI integrations.

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