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model-context-protocol-templates

by XD3an

This repository provides templates for creating Model Context Protocol (MCP) servers. MCP is an open-source protocol designed for large language models to standardize connecting AI with external data sources and systems.

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What is model-context-protocol-templates?

This repository contains templates for building MCP servers. MCP is a protocol that enables LLMs to integrate and leverage external context in conversations, extending their capabilities and improving accuracy.

How to use model-context-protocol-templates?

Use the provided templates (Python, TypeScript, Java, Kotlin) as a starting point for developing your own MCP server. Refer to the linked SDKs and documentation for detailed instructions on implementing the protocol and integrating with external data sources and systems.

Key features of model-context-protocol-templates

  • Resources for knowledge expansion

  • Tool calls to external tools

  • Pre-written prompts

  • Debugging and Inspection tools

  • Security features

Use cases of model-context-protocol-templates

  • Connecting LLMs to databases

  • Integrating LLMs with APIs

  • Enabling LLMs to access real-time information

  • Building custom tools for LLMs

  • Creating secure and reliable LLM applications

FAQ from model-context-protocol-templates

What is Model Context Protocol (MCP)?

MCP is an open-source protocol designed for large language models (LLMs) to standardize connecting AI with external data sources and systems.

What capabilities does MCP provide?

MCP provides resources for knowledge expansion, tool calls to external tools, and pre-written prompts.

Where can I find the MCP SDKs?

SDKs are available for Python, TypeScript, Java, and Kotlin. Links are provided in the README.

How can I debug and inspect my MCP server?

The README provides information on debugging tools like MCP Inspector, Claude Desktop Developer Tools, and Server Logging.

Are there any security concerns with MCP?

Yes, a security issue related to tool poisoning attacks has been identified. Refer to the InvariantLabs blog post for more details.