Simon Willison documents a practical walkthrough for configuring a custom MCP (Model Context Protocol) server with both Claude and ChatGPT. The post covers the concrete steps required to integrate a self-hosted MCP server into two major AI assistant platforms. This is a practitioner-level guide relevant to the growing MCP ecosystem and cross-platform tool-use patterns.
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.
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.
Hugging Face published a tutorial on building Model Context Protocol (MCP) servers using Gradio, enabling AI models to expose tools and resources through the MCP standard. The post demonstrates how Gradio applications can serve as MCP-compatible backends, allowing AI agents to discover and invoke Gradio-hosted functions. This lowers the barrier for ML practitioners to participate in the emerging MCP ecosystem without deep protocol knowledge.
Simon Willison writes about renewed interest in the Model Context Protocol following developments around stateless MCP, and announces two new tools: mcp-explorer and datasette-mcp. The post reflects on how stateless operation changes the practical appeal of MCP for tool integration. This is a practitioner-level signal about MCP adoption patterns and tooling ecosystem growth.
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.
Figma has published an official guide repository for using the Figma MCP (Model Context Protocol) server, written in Python. The repository has accumulated 1,831 stars, indicating meaningful developer interest. This represents Figma's participation in the growing MCP ecosystem for tool integration with AI agents.
Hugging Face has published a blog post describing the construction of an MCP (Model Context Protocol) server that exposes Hugging Face platform capabilities to AI agents and LLM toolchains. The post covers the architecture and implementation of the server, enabling agents to search models, datasets, and spaces programmatically. This represents Hugging Face's integration into the emerging MCP ecosystem for agent-tool interoperability.
DesktopCommanderMCP is an open-source TypeScript MCP server that extends Claude with terminal control, file system search, and diff-based file editing capabilities. The project has accumulated 6,137 GitHub stars, indicating meaningful community adoption. It represents a practical implementation of the MCP protocol for agentic desktop control use cases.