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Secure Model Context Protocol (SMCP)

by Ryan-Spooner

The Secure Model Context Protocol (SMCP) project aims to advance the understanding and application of the Model Context Protocol (MCP). It provides resources and examples to help developers master MCP and build robust MCP servers, with a future vision of becoming an open-source platform featuring a curated MCP Server Catalog.

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What is Secure Model Context Protocol (SMCP)?

SMCP is a project dedicated to the Model Context Protocol (MCP), a specification designed to facilitate standardized communication and context exchange between AI models, agents, and other components within an AI system. It aims to improve interoperability and simplify the development of complex AI applications.

How to use Secure Model Context Protocol (SMCP)?

Currently, the focus is on educational resources. Users can explore universal MCP examples, utilize project templates to kickstart their own MCP server or client development, and dive into tutorials on MCP troubleshooting and creating custom MCP servers. Future plans include a curated MCP server catalog and a containerized AI system creator.

Key features of Secure Model Context Protocol (SMCP)

  • Educational resources for MCP

  • Templates for MCP server/client development

  • MCP troubleshooting guide

  • Community-driven MCP server catalog (future)

  • Containerized AI system creator (future)

Use cases of Secure Model Context Protocol (SMCP)

  • Developing interoperable AI systems

  • Standardizing communication between AI components

  • Building custom MCP servers

  • Troubleshooting MCP integrations

  • Creating containerized AI applications

FAQ from Secure Model Context Protocol (SMCP)

What is MCP?

The Model Context Protocol (MCP) is a specification designed to facilitate standardized communication and context exchange between AI models, agents, and other components within an AI system.

What are the goals of the SMCP project?

The goals are to deepen understanding of MCP, facilitate MCP server development, enable effective troubleshooting, and foster an open ecosystem.

How can I get started with SMCP?

Explore the universal MCP example, utilize project templates, and dive into the tutorials provided.

What is the future vision for SMCP?

The future vision includes an MCP server catalog/marketplace and a containerized AI system creator.

How can I contribute to SMCP?

You can contribute by improving documentation, adding examples, submitting MCP server details for the catalog, or helping develop the platform. See the Contribution Guidelines for details.