InfoQ Homepage Model Context Protocol (MCP) Content on InfoQ
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Honeycomb Hosted MCP Brings Observability Data into the IDE
Honeycomb has launched its hosted Model Context Protocol (MCP), giving developers real-time access to observability data inside IDEs and AI tools like GitHub Copilot. Available as a managed service on AWS Marketplace, it removes the need for self-hosting and streamlines debugging by surfacing traces, metrics, and logs without context-switching.
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AWS CCAPI MCP Server: Natural Language Infra
AWS introduces the Cloud Control API (CCAPI) MCP Server, revolutionizing infrastructure management by enabling natural language commands for resource management. This tool boosts developer productivity with automated security checks, IaC template generation, and cost estimation, bridging the gap between intent and cloud deployment. Embrace simplicity and efficiency in cloud operations!
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MCP C# SDK Aligns with New Protocol Specification, Bringing Security and Tooling Updates
The Model Context Protocol (MCP) C# SDK has been updated to support the latest specification, version 2025-06-18. As reported, this release introduces several new features for .NET developers working on AI applications, including an updated authentication protocol, elicitation support, structured tool output, and resource links in tool responses.
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HashiCorp Introduces MCP Servers for Terraform and Vault
HashiCorp introduces experimental MCP servers for Terraform, Vault, and Vault Radar, enabling seamless AI integration into infrastructure, security, and risk workflows. These open-standard servers connect LLMs with automated systems, ensuring secure, auditable operations. Explore their potential through open-source access and gain insights while maintaining strict security protocols.
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“A Security Nightmare”: Docker Warns of Risks in MCP Toolchains
A new blog post from Docker warns that AI-powered developer tools built on the Model Context Protocol (MCP) are introducing critical security vulnerabilities — including real-world cases of credential leaks, unauthorized file access, and remote code execution.
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Inaugural MCP Dev Summit Charts AI Integration's Future
Developers and contributors of the Model Context Protocol (MCP) converged in San Francisco in May 2025 for their first developer summit, charting the future of this rapidly adopted open standard to enable seamless integration between LLM applications and external data sources and tools. Discussions focused on a roadmap for MCP, including critical enterprise features.
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Microsoft Launches Azure DevOps MCP Server in Public Preview
Microsoft has unveiled the Azure DevOps Model Context Provider (MCP) Server in public preview, enabling seamless interaction between GitHub Copilot and Azure DevOps. This innovative tool allows developers to query and manage project data using natural language directly within VS Code, streamlining workflows and enhancing productivity while ensuring project data remains secure and local.
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Docker Desktop 4.42 Launches with Native IPv6, Integrated MCP Toolkit, and AI Model Packaging
Docker Inc. released Docker Desktop 4.42 on June 10, 2025, enhancing networking flexibility, AI workflow integration, and model distribution. Native IPv6 support now enables users to choose between dual-stack, IPv4-only, or IPv6-only modes with intelligent DNS resolution.
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OpenTofu 1.10 Released with OCI Registry Support and an MCP Server for AI Infra as Code
The open-source infrastructure-as-code project OpenTofu has released version 1.10, marking what the development team describes as their "most comprehensive update yet". The release introduces container registry support for provider and module distribution alongside several enterprise-focused features designed to simplify state management and improve developer workflows.
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Docker Desktop 4.43 Expands Model Runner and Brings New Compose-Kubernetes Bridge
Following the introduction of Model Runner a few months ago, Docker Desktop 4.43 expands its capabilities with improved model management and broader OpenAI compatibility. The release also debuts a new Compose Bridge to simplify the generation of Kubernetes configurations and upgrade the Gordon AI agent.
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Azure AI Foundry Agent Service Gains Model Context Protocol Support in Preview
Microsoft's Azure AI Foundry Service now supports the Model Context Protocol (MCP), revolutionizing AI agent integration. This streamlined approach eliminates cumbersome custom coding, allowing seamless connection to data sources and workflows. With enterprise-grade security, developers can effortlessly enhance agent capabilities, ushering in a new era of interoperability and efficiency in AI.
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LM Studio 0.3.17 Adds Model Context Protocol (MCP) Support for Tool-Integrated LLMs
LM Studio has released version 0.3.17, introducing support for the Model Context Protocol (MCP) — a step forward in enabling language models to access external tools and data sources. Originally developed by Anthropic, MCP defines a standardized interface for connecting LLMs to services such as GitHub, Notion, or Stripe, enabling more powerful, contextual reasoning.
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Google Launches Gemini CLI: Open-Source Terminal AI Agent for Developers
Google has released Gemini CLI, a new open-source AI command-line interface that brings the full capabilities of its Gemini 2.5 Pro model directly into developers’ terminals. Designed for flexibility, transparency, and developer-first workflows, Gemini CLI provides high-performance, natural language AI assistance through a lightweight, locally accessible interface.
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Claude Code Gains Support for Remote MCP Servers over Streamable HTTP
Anthropic has recently introduced support for connecting to remote MCP servers in Claude Code, allowing developers to integrate external tools and resources without manual local server setup.
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Anthropic Releases Claude Code SDK to Power AI-Paired Programming
Anthropic has launched Claude Code SDK, a new toolkit that extends the reach of its code assistant, Claude, far beyond the chat interface. Designed for integration into modern developer workflows, the SDK offers a suite of tools for TypeScript, Python, and the command line, enabling advanced automation of code review, refactoring, and transformation tasks.