3GitHub Trending (AI/LLM filtered)·
unifi-mcp: MCP server for UniFi network/security suite
A Python-based MCP server implementation exposing UniFi's suite of applications (Network, Protect, Access, Drive) as tool-callable endpoints. The project enables AI agents to interact with UniFi network infrastructure via the Model Context Protocol. It has 581 GitHub stars with modest daily growth, indicating niche but real adoption.
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Related events (8)
mcp-use: open-source fullstack MCP framework for building MCP apps and servers
mcp-use is a TypeScript framework on GitHub for developing MCP (Model Context Protocol) applications targeting ChatGPT and Claude, as well as MCP servers for AI agents. The project has accumulated over 10,000 stars, indicating meaningful community adoption. It represents a tooling layer in the growing MCP ecosystem for agent-tool integration.
FastMCP Python library for building MCP servers and clients trending on GitHub
FastMCP, a Python library by PrefectHQ for building Model Context Protocol servers and clients, is trending on GitHub with 26,434 total stars and 77 new stars today. The project positions itself as a high-level, Pythonic interface for MCP development. Its traction signals continued ecosystem growth around the MCP standard for AI tool integration.
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.
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.
Anthropic Open-Sources the Model Context Protocol (MCP)
Anthropic has released the Model Context Protocol (MCP), an open standard enabling secure, two-way connections between AI assistants and external data sources such as business tools, content repositories, and development environments. The protocol introduces a client-server architecture with SDKs, local MCP server support in Claude Desktop, and a repository of pre-built connectors for systems like GitHub, Slack, Google Drive, and Postgres. Early adopters include Block and Apollo, with development tool companies Zed, Replit, Codeium, and Sourcegraph integrating MCP into their platforms. The goal is to replace fragmented, per-source integrations with a single universal protocol, improving context availability for AI agents.
MCP Apps protocol repo: standard for UIs with embedded AI chatbots served by MCP servers
The Model Context Protocol organization has published an official repository for the MCP Apps protocol, a specification and SDK for embedding AI chatbots into UIs served by MCP servers. The repo is written in TypeScript and has accumulated 2,520 stars. This extends the MCP ecosystem beyond tool-calling into a standardized pattern for UI-embedded AI interactions.
Implementing MCP Servers in Python: An AI Shopping Assistant with Gradio
Hugging Face published a tutorial demonstrating how to build Model Context Protocol (MCP) servers in Python using Gradio, illustrated through a virtual try-on AI shopping assistant. The post covers integrating MCP tool exposure with Gradio's interface layer, enabling AI agents to invoke image-based try-on capabilities as structured tools. This represents a practical guide for developers connecting multimodal AI models to agent frameworks via MCP.
MCP Inspector: Visual testing tool for MCP servers gains traction on GitHub
The Model Context Protocol Inspector is an open-source TypeScript tool for visually testing MCP servers, hosted under the official modelcontextprotocol GitHub organization. It has accumulated 10,321 stars with modest daily growth (+15 today). As an official companion tool to the MCP standard, it is relevant to the growing ecosystem of MCP-compatible servers and clients.