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@maydali28 started using tool Terraform , 42 minutes ago.

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@maydali28 started using tool Java , 42 minutes ago.

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@maydali28 started using tool Azure Kubernetes Service (AKS) , 42 minutes ago.

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@sancharini shared a post, an hour ago

Why Understanding Software Testing Basics Is Essential for Every Developer?

Understand why software testing basics is essential for every developer. Learn key testing types, levels, techniques, and best practices to write reliable, maintainable, and high-quality code.

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@eon01 published a course, 2 hours ago

Founder, FAUN.dev

Practical MCP with FastMCP & LangChain

Engineering the Agentic Experience

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@kala added a new tool FastMCP , 3 hours, 11 minutes ago.

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@kala shared an update, 3 hours ago

FAUN.dev()

FastMCP 3.0 Released: Community-Driven Enhancements Unveiled

#FastMCP #FastMCP... #Prefect... #AI #MCP

FastMCP 3.0 is now generally available. It keeps the @mcp.tool() API but rebuilds the internals around components + providers + transforms, adds a CLI, and ships production features like component versioning, per-component auth + OAuth additions, OpenTelemetry tracing, background tasks, pagination, tool timeouts, and hot reload. The project moved from jlowin/fastmcp to PrefectHQ/fastmcp on GitHub, and upgrading is supported via dedicated guides for FastMCP 2 and MCP SDK users.

FastMCP 3.0 Released: Community-Driven Enhancements Unveiled

FastMCP is an open-source Python framework designed to simplify the development of Model Context Protocol servers. It allows developers to define MCP components such as tools, resources, and prompts using decorators, and to organize them through a modular architecture built around providers and transforms. Providers determine where components originate, including local code, directories, OpenAPI specifications, or remote MCP servers. Transforms modify components as they flow to clients, enabling namespacing, filtering, versioning, and visibility control.

The framework supports component versioning, per-component authorization, and middleware for cross-cutting concerns such as authentication and logging. It includes a built-in command-line interface for listing, calling, discovering, and installing MCP servers. FastMCP also supports session-scoped state, background task execution, OpenTelemetry tracing, pagination for large component sets, and transport options including stdio and HTTP-based protocols.

FastMCP is intended for developers building agent-compatible backends and structured tool interfaces for large language model systems that implement the Model Context Protocol.