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5GitHub Trending (AI/LLM filtered)·6d ago

AWS releases official agent toolkit with MCP servers and plugins for AI agents

AWS has published an official, AWS-supported toolkit on GitHub providing MCP servers, skills, and plugins to enable AI agents to interact with AWS services. The repository is Python-based and has accumulated 966 stars. This represents AWS's formal entry into the MCP server ecosystem for agentic workloads.

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Related events (8)

5Github Trending·22d ago·source ↗

IBM releases mcp-context-forge: AI gateway and proxy for MCP, A2A, and REST/gRPC APIs

IBM has open-sourced mcp-context-forge, a Python-based AI gateway, registry, and proxy that sits in front of MCP, A2A, or REST/gRPC APIs and exposes a unified endpoint with centralized discovery, guardrails, and management. The tool is designed to optimize agent and tool calling workflows and supports plugins. With ~3,800 GitHub stars, it represents a notable infrastructure contribution to the MCP/A2A ecosystem from a major enterprise vendor.

5Github Trending·24d ago·source ↗

Microsoft agent-framework: open-source library for building and orchestrating AI agents

Microsoft has published an open-source framework on GitHub for building, orchestrating, and deploying AI agents and multi-agent workflows, with support for both Python and .NET. The repository has accumulated 11,061 stars. It represents Microsoft's entry into the agent harness tooling space alongside existing frameworks like LangChain and AutoGen.

7Openai Blog·1mo ago·source ↗

OpenAI models, Codex, and Managed Agents come to AWS

OpenAI has announced that its GPT models, Codex, and Managed Agents are now available on AWS, allowing enterprise customers to deploy OpenAI capabilities within their existing AWS environments. The partnership extends OpenAI's distribution reach into the major cloud hyperscaler ecosystem. This follows a broader industry pattern of AI labs partnering with cloud providers to reach enterprise customers through familiar procurement and compliance channels.

3Github Trending·1mo ago·source ↗

MetaTrader MCP Server: AI LLM Trading via Model Context Protocol

An open-source Python project implementing a Model Context Protocol (MCP) server that enables AI language models to execute trades on the MetaTrader platform. The repository has gained 82 stars in a single day, reaching 408 total. This represents a concrete deployment of the MCP agent-tool pattern in a financial trading context.

5Github Trending·1mo ago·source ↗

Chrome DevTools MCP Server for Coding Agents

The chrome-devtools-mcp repository exposes Chrome DevTools functionality as a Model Context Protocol (MCP) server, enabling coding agents to interact with browser debugging tools programmatically. The project has accumulated over 40,000 stars on GitHub, with 132 added today, indicating strong community traction. This tooling bridges browser developer tooling with AI agent workflows, allowing agents to inspect, debug, and interact with web pages.

4Github Trending·5d ago·source ↗

wshobson/agents: Multi-harness agentic plugin marketplace for major AI coding tools

A GitHub repository called 'agents' by wshobson provides a multi-harness agentic plugin marketplace targeting Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, and Gemini CLI. The project has accumulated 37,134 stars with modest daily momentum (+43 today). It represents a cross-platform approach to agent tooling that spans multiple competing AI coding environments.

3Github Trending·1mo ago·source ↗

Databricks AI Dev Kit: Toolkit for Coding Agents

Databricks Field Engineering has published an open-source Python toolkit on GitHub aimed at coding agents, accumulating 1,555 stars. The repository appears to provide utilities and scaffolding for building AI-powered development agents on the Databricks platform. It is a community/field engineering project rather than an official product release.

5Github Trending·1mo ago·source ↗

Microsoft Azure DevOps MCP Server

Microsoft has published an open-source Model Context Protocol (MCP) server for Azure DevOps, enabling AI agents to interact directly with Azure DevOps services. The repository is implemented in TypeScript and has accumulated 1,710 GitHub stars. This extends the MCP ecosystem with enterprise DevOps tooling, allowing agents to perform operations such as managing pipelines, work items, and repositories.