Does HTTP transport support bidirectional features like notifications?
No, HTTP transports are stateless and do not support notifications or other bidirectional features. Use stdio transport if those are needed.
@metoro-io
基本情報
Write Model Context Protocol servers in few lines of go code. Docs at https://mcpgolang.com . Created by https://metoro.io
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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
mcp-golang is an unofficial Go implementation of the Model Context Protocol (MCP) that allows developers to write MCP servers and clients in Go with minimal code. It is designed for Go developers who want to integrate AI tools, prompts, and resources using type-safe native Go structs and flexible transport options.
Install the library with go get github.com/metoro-io/mcp-golang. Then create an MCP server by defining tool arguments as Go structs, registering tools/prompts/resources, and choosing a transport (stdio, HTTP, Gin, or SSE). A client can be initialized similarly to call tools or prompts on a running server. Integration with Claude Desktop requires pointing to the compiled server executable in the Claude desktop configuration JSON.
No, HTTP transports are stateless and do not support notifications or other bidirectional features. Use stdio transport if those are needed.
Stdio (full feature support), HTTP and Gin (stateless), SSE, and a custom transport interface are available. HTTPS with custom auth is in progress.
Yes. Configure the server executable path in Claude Desktop's `claude_desktop_config.json` under `mcpServers`.
The library supports all core MCP features (tools, prompts, resources) with pagination and change notifications. HTTP transport is stateless; HTTPS with custom auth is under development. Contributions are welcome.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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