Build a Model Context Protocol (MCP) Server in C# π§
Learn how to create an MCP server using .NET 8 and ASP.NET Core!β‘οΈ
This guide walks you through building a server that can interact with AI models via the Model Context Protocol β a standard for managing model prompts, memory, and tools. Great for AI agent developers!π€ π§
[ Blog ] : https://devblogs.microsoft.com/dotnet/build-a-model-context-protocol-mcp-server-in-csharp
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#AI #MCP #dotnet #csharp
@ProgrammingTip
Learn how to create an MCP server using .NET 8 and ASP.NET Core!
This guide walks you through building a server that can interact with AI models via the Model Context Protocol β a standard for managing model prompts, memory, and tools. Great for AI agent developers!
[ Blog ] : https://devblogs.microsoft.com/dotnet/build-a-model-context-protocol-mcp-server-in-csharp
γ°οΈγ°οΈγ°οΈγ°οΈγ°οΈγ°οΈ
#AI #MCP #dotnet #csharp
@ProgrammingTip
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Microsoft News
Build a Model Context Protocol (MCP) server in C#
Learn how to build a Model Context Protocol (MCP) server using the C# SDK to enable seamless communication between AI models and applications.
GitHub MCP Registry: The fastest way to discover MCP Servers π
If youβve tried connecting AI agents to your development tools, you know the pain: MCP servers scattered across numerous registries, random repos, buried in community threads β making discovery slow and full of friction without a central place to go. Meanwhile, MCP server creators are worn out from publishing to multiple places and answering the same setup questions again and again.
The GitHub MCP Registry launches as your new home base for discovering MCP servers. Whether youβre building with GitHub Copilot, agents, or any AI tool that speaks MCP, this is the place to find what you need. With GitHub already home to most MCP servers, the MCP Registry makes them dramatically easier to discover, explore, and use β helping developers find the right tools faster and contribute to a more open, interoperable ecosystem.βοΈ
[ GitHub MCP Registry ] : https://github.com/mcp
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#LLM #AI #MCP #GitHub
@ProgrammingTip
If youβve tried connecting AI agents to your development tools, you know the pain: MCP servers scattered across numerous registries, random repos, buried in community threads β making discovery slow and full of friction without a central place to go. Meanwhile, MCP server creators are worn out from publishing to multiple places and answering the same setup questions again and again.
The GitHub MCP Registry launches as your new home base for discovering MCP servers. Whether youβre building with GitHub Copilot, agents, or any AI tool that speaks MCP, this is the place to find what you need. With GitHub already home to most MCP servers, the MCP Registry makes them dramatically easier to discover, explore, and use β helping developers find the right tools faster and contribute to a more open, interoperable ecosystem.
[ GitHub MCP Registry ] : https://github.com/mcp
γ°οΈγ°οΈγ°οΈγ°οΈγ°οΈγ°οΈ
#LLM #AI #MCP #GitHub
@ProgrammingTip
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Announcing ChromeDevTools MCP! π₯
Connect your AI coding agent to Chrome's powerful automation & debugging capabilities with ease.
Key features:
β Reliable automation: It can programmatically handle clicks, form fills, dialogs, and page navigation with ease.
β Performance insights: Go beyond simple audits. Instruct your agent to record a performance trace and extract actionable insights to optimize your web apps.
β Advanced debugging: Empower your AI to analyze network requests, list console messages, take screenshots, and even evaluate scripts in the browser context.
β Browser emulation: Easily test different conditions by emulating CPU slowdowns, network throttling, or various screen sizes.
Works well with modern web apps and believe this will unlock new workflows for automated testing, AI-driven debugging, and interactive web development.
[ Blog ] : https://developer.chrome.com/blog/chrome-devtools-mcp
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#AI #LLM #MCP
@ProgrammingTip
Connect your AI coding agent to Chrome's powerful automation & debugging capabilities with ease.
Key features:
β Reliable automation: It can programmatically handle clicks, form fills, dialogs, and page navigation with ease.
β Performance insights: Go beyond simple audits. Instruct your agent to record a performance trace and extract actionable insights to optimize your web apps.
β Advanced debugging: Empower your AI to analyze network requests, list console messages, take screenshots, and even evaluate scripts in the browser context.
β Browser emulation: Easily test different conditions by emulating CPU slowdowns, network throttling, or various screen sizes.
Works well with modern web apps and believe this will unlock new workflows for automated testing, AI-driven debugging, and interactive web development.
[ Blog ] : https://developer.chrome.com/blog/chrome-devtools-mcp
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#AI #LLM #MCP
@ProgrammingTip
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Chrome for Developers
Chrome DevTools (MCP) for your AI agent | Blog | Chrome for Developers
Public preview for the new Chrome DevTools MCP server, bringing the power of Chrome DevTools to AI coding assistants.