#MCP server Python
249 related articles
FastMCP: The Go-To Framework for Pytho…
·2 min
FastMCP: The Go-To Framework for Python Developers Building MCP Servers and Clients
FastMCP is a Pythonic MCP framework by PrefectHQ that lets developers build MCP servers and clients with minimal code using decorators. 26,000+ GitHub stars.
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·3 min
localskills.sh: A Unified Management Platform for Cross-Tool AI Skills and MCP – Full Review
localskills.sh is a team-level platform for managing AI Skills, Rules, and MCP servers across Cursor, Claude Code, and Windsurf with a single install command.
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·3 min
localskills.sh: A Unified Management Platform for Cross-Tool AI Skills and MCP — Review
localskills.sh is a team-level AI skill and MCP server management platform that unifies distribution and reuse of AI Skills and Rules across Cursor, Claude Code, Windsurf, and more with a single install command.
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·5 min
Opus 5 Builds a No Man's Sky-Style Exploration Game in One Day: MCP and Sub-Agent Architecture Explained
A developer used Anthropic's Opus 5 model to build a No Man's Sky-style space exploration game in one day using Blender MCP and sub-agents. Deep dive into the technical architecture and industry implications.
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·4 min
OpenAI Employee Shares How to Build an AI Work Operating System with Codex
OpenAI's Jason Liu shares how he uses ChatGPT Workbench and Codex to build an AI work OS: Chief of Staff automation, persistent threads, Skills/Plugins, browser control, and app-building methodology.
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·3 min
Getting Started with Codex: A Complete Guide to AI Agent Programming Tools
Compare Codex and Claude Code AI agent programming tools. Learn AI Agent concepts, tool selection, cost analysis, and GPT account setup in this complete beginner's guide.
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·4 min
Hands-On Skill Writing and Agent Testing: A Guide to AI Testing Transformation
An in-depth look at AI testing challenges. Learn to write reusable Skill packs and master Agent testing and LLM evaluation—covering the SKILL.md six-dimensional rule, skill-creator, EvalScope, and dataset selection.
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·4 min
Claude Code from Scratch: A Complete Guide from Installation to Enterprise-Grade Development
A complete guide to Claude Code from beginner to enterprise practice: covering CLI installation, connecting domestic LLMs via CC Switch, basic commands, Git workflow integration, automated bug fixing, and engineering capabilities like MCP and SubAgents.
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·4 min
Spring AI 2.0: Five Key Updates Explained — Marching Toward the Age of AI Agents
Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, Tools parsing moving up, a built-in Agentic mechanism, MCP switching to Streamable HTTP, and an on-demand tool Advisor.
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·4 min
Spring AI 2.0 Explained: Five Key Updates Ushering in the Age of AI Agents
Spring AI 2.0 brings five core updates: mandatory Spring Boot 4 upgrade, Tools parsing moved up, built-in Agentic mechanism, MCP switch to Streamable HTTP, and on-demand tool-loading Advisor.
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·4 min
Spring AI 2.0: Five Key Updates Explained — Stepping into the Agent Era
Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, lifted Tools parsing, built-in Agentic mechanism, MCP switch to Streamable HTTP, and an on-demand tool-loading Advisor.
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·3 min
Rocky: An Open-Source Coding Agent with Minimal Architecture and Native DeepSeek Integration
Rocky is a minimal, transparent open-source coding agent with a core loop under a few hundred lines of Python, native DeepSeek search, Research mode, and built-in SWE benchmarking for reproducible agent experiments.
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·8 min
A Complete Guide to Agent Testing: Five Core Dimensions and Automation in Practice
In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.
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·8 min
The Complete Guide to Agent Testing: Five Core Dimensions and Automation in Practice
An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.
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·6 min
Hands-On with Panel AI On-Premises Deployment: One-Click Enterprise Adoption and Unified Compute Cluster Scheduling
In-depth review of Panel AI v1.1.1: second-level installation, no-public-IP networking, batch compute cluster management. Learn how enterprise AI on-premises deployment barriers are dramatically lowered.
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·4 min
Spring AI 1.0 Practical Guide: A Java Developer's Fast Track to Building AI Applications
Spring AI 1.0 is here — Java developers can now build AI apps without switching to Python. This guide covers LLM integration, RAG, intelligent customer service, and Agent patterns for enterprise deployment.
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·8 min
LangChain Crash Course: A Complete Roadmap from Zero to Agent Development
A systematic roadmap from LangChain and LangGraph to multi-agent development, covering RAG, Tool Calling, MCP, and more, helping developers break into AI app development.
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The Rise of Claude Skills Ecosystem: A…
·2 min
The Rise of Claude Skills Ecosystem: A Modular New Paradigm for Custom AI Workflows
Explore the Claude Skills ecosystem: from prompt engineering to modular skills, covering skill libraries, MCP integrations, and dev frameworks. The awesome-claude-skills list has 68K+ Stars.
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·6 min
30-Minute Hands-On: Building a Working AI Agent from Scratch
Skip the dry theory and get hands-on! This article demonstrates step by step how to build a working AI Agent from scratch in 30 minutes using AI coding tools—covering the agent skeleton, tool system, memory mechanism, Flask web UI, and DeepSeek API integration.
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WrenAI: An Open-Source GenBI Tool for …
·4 min
WrenAI: An Open-Source GenBI Tool for Querying Databases with Natural Language
WrenAI is an open-source GenBI tool by the Canner team that converts natural language into trusted SQL, charts, and dashboards via a semantic layer. Supports 20+ data sources including BigQuery and Snowflake. 16,000+ GitHub stars.
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