InfoQ Homepage Model Context Protocol (MCP) Content on InfoQ
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Paper2Agent Converts Scientific Papers into Interactive AI Agents
Stanford's Paper2Agent framework revolutionizes research by transforming static papers into interactive AI agents that execute analyses and respond to queries. Leveraging the Model Context Protocol, it simplifies reproducibility and enhances accessibility, empowering users with dynamic, autonomous tools for deeper scientific exploration and understanding.
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GitHub MCP Registry Offers a Central Hub for Discovering and Deploying MCP Servers
GitHub has recently launched its Model Context Protocol (MCP) Registry, designed to help developers discover and use the AI tools directly from within their working environment. The registry currently lists over 40 MCP servers from Microsoft, GitHub, Dynatrace, Terraform, and many others.
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OpenAI Adds Full MCP Support to ChatGPT Developer Mode
OpenAI has rolled out full Model Context Protocol (MCP) support in ChatGPT, bringing developers a long-requested feature: the ability to use custom connectors for both read and write actions directly inside chats. The feature, now in beta under Developer Mode, effectively turns ChatGPT into a programmable automation hub capable of interacting with external systems or internal APIs.
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QCon AI New York 2025 Schedule Published, Highlights Practical Enterprise AI
The QCon AI New York 2025 schedule is now live for its Dec 16-17 event. Focused on moving AI from PoC to production, the program offers a practical roadmap for senior engineers & tech leaders. It addresses the real-world challenges of building, scaling, and deploying reliable, enterprise-grade AI systems, helping organizations overcome the hurdles of productionizing their AI initiatives.
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The New Data Commons MCP Server Unlocks a Wealth of Public Datasets for AI Developers
Google has recently introduced the Data Commons Model Context Protocol (MCP) Server, a tool that enables AI developers and researchers to easily access the public dataset collection available through Data Commons.
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Microsoft Introduces Logic Apps as MCP Servers in Public Preview
Microsoft has unveiled a public preview of Azure Logic Apps (Standard) as Model Context Protocol (MCP) servers, enabling developers to build and manage AI agents easily. This new capability promotes seamless integration with diverse systems, enhancing scalability and reusability while simplifying the development process for enterprise workflows.
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Introducing the MCP Registry
The Model Context Protocol (MCP) ecosystem is enhancing AI development with a public registry for server discovery and a secure gateway for agent interactions. This initiative, featuring the recently launched MCP Registry and the Linux Foundation's Agentgateway project, streamlines the management of AI tools, fostering collaboration and security for engineering teams.
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How LinkedIn Built Enterprise Multi-Agent AI on Existing Messaging Infrastructure
LinkedIn extended its generative AI application platform to support multi-agent systems by repurposing its existing messaging infrastructure as an orchestration layer. This allowed the company to scale AI agents without building new coordination technology from scratch and achieve global availability while supporting complex multi-step workflows through agent coordination.
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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.