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MCP Masterclass Glossary
Welcome to the MCP Masterclass glossary, your guide to key concepts in declarative video creation, software education, and coding tutorial development.
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Claude Directory
Official directory of connectors and desktop extensions for Claude AI, providing a curated collection of integrations and tools to extend Claude's capabilities.
Continuous AI
A label for all uses of automated AI to support software collaboration on any platform, aligning with CI/CD practices to automate and enhance collaborative workflows.
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DXT File
Desktop Extension file format (.dxt) that packages MCP servers with dependencies and metadata into a single installable archive using ZIP compression.
Desktop Extensions for MCP
One-click installable packages that bundle MCP servers with all dependencies, eliminating installation complexity for users through the .dxt format.
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FastMCP
High-level framework for building Model Context Protocol servers and clients in Python and TypeScript, providing a simplified, Pythonic interface that handles protocol complexities automatically.
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Host
The LLM application (like Claude Desktop or IDEs) that initiates connections to MCP servers and manages the overall user experience.
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llms.txt
A standardized markdown file format designed to provide LLM-friendly content and context about websites and projects.
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MCP Client
The translator that turns an LLM’s tool requests into valid MCP JSON calls and streams results back into the model’s context.
MCP Inspector
Official debugging and testing tool for Model Context Protocol servers, providing a web interface to inspect server capabilities, test tools, and debug MCP implementations.
MCP Server
A lightweight program that exposes specific capabilities through the standardized Model Context Protocol to provide context, tools, and prompts to LLMs.
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Resources
Data and content that MCP servers expose to clients for use as context in LLM interactions, including files, database records, API responses, and live system data.
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Tools
Executable functions that MCP servers expose to clients, enabling LLMs to perform actions, interact with external systems, and modify state in the real world.
Transport
The communication layer that handles message exchange between MCP clients and servers, supporting stdio and HTTP protocols with JSON-RPC formatting.
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