MCP Dotnet Samples
Model Context Protocol (MCP) .NET sample library, demonstrating how to use the MCP protocol to standardize the context interaction of large language models (LLMs) in .NET applications. It includes examples such as a YouTube subtitle extractor, supports flexible switching of LLM providers, and enables the construction of AI workflows.
rating : 2.5 points
downloads : 26
What is Model Context Protocol (MCP)?
MCP is an open protocol used to standardize the way applications provide context to large language models (LLMs). It's like USB - C, providing a unified way to connect different data sources and tools.How to use the MCP server?
Simply install the MCP server and configure your data sources to start interacting with LLMs. It supports multiple programming languages and platforms.Applicable scenarios
Suitable for enterprise applications, development tools, and data processing systems that need to integrate AI models.Main features
Data source integrationSupports multiple data sources, such as databases, APIs, and file systems.
Cross - vendor compatibilitySupports multiple LLM providers for easy switching.
Security guaranteeBuilt - in security mechanisms protect sensitive data.
Advantages and limitations
Advantages
Standardized interface simplifies the development process.
Supports flexible switching of LLM providers.
Enhances data security and privacy protection.
Limitations
Requires a certain technical foundation for deployment and configuration.
Some advanced features may depend on the support of specific providers.
How to use
Install the MCP server
Download and install the MCP server software.
Initialize the configuration
Run the initialization command to generate the default configuration file.
Connect to data sources
Add the required data source connection information.
Usage examples
Extract YouTube video subtitlesDemonstrate how to extract subtitles from a YouTube video and pass them to an LLM for analysis.
Frequently Asked Questions
Does the MCP server support multiple languages?
How to ensure data security?
Related resources
MCP official documentation
Learn the detailed description of the MCP protocol.
GitHub code repository
View the open - source code of the MCP project.
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points