InfoQ Homepage Model Context Protocol (MCP) Content on InfoQ
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AI Agent Identity and Permission Challenges: How Uber and Auth0 Are Rethinking Access Control
Uber recently described an internal architecture for propagating identity across multi-agent AI workflows. The design aims to perserve user context, agent provenance, and scoped access as agents delegate work and call internal tools. The case study aligns with Auth0’s view that AI agents need permissions based on delegated authority, scoped credentials, and explicit human approval boundaries.
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Terraform MCP Server Enables AI Assistants to Interact with Terraform Infrastructure
HashiCorp has announced the general availability of the Terraform MCP Server, an open-source MCP server that enables agents to integrate with Terraform Registry APIs. The company says that it can improve infrastructure teams productivity by relieving engineers of rote tasks.
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Cloudflare Adds Support for Claude Managed Agents
Cloudflare recently added support for Claude Managed Agents, allowing developers to run and manage Claude agents within Cloudflare. Developers can connect agents to private systems, choose their runtime environment, and monitor agent activity using Cloudflare services.
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AWS MCP Server Reaches GA with Full API Coverage and IAM-Based Governance
AWS has recently made its managed Model Context Protocol (MCP) server generally available, giving AI coding agents controlled access to AWS APIs, documentation, and operational workflows through a standard interface. It provides a safer and more auditable way to connect AI agents to AWS services without handing over broad credentials.
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Anthropic Introduces MCP Tunnels for Private Agent Access to Internal Systems
Anthropic has expanded its Claude Managed Agents platform with two enterprise-focused capabilities: self-hosted sandboxes and MCP tunnels. The release aims to address a recurring challenge in enterprise AI deployments, where organizations want to use autonomous agents but cannot allow execution environments or internal systems to leave their security perimeter.
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GitHub Expands Secret Scanning with General Availability of MCP Server Integration
GitHub has announced the general availability of secret scanning support through its MCP Server, extending automated credential detection and remediation capabilities into AI-assisted and agent-driven development workflows.
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DBmaestro MCP Server Puts Natural Language in Control of Database Pipelines
DBmaestro has launched an MCP server that connects AI agents and enterprise copilots to its database DevOps platform, allowing teams to issue natural language commands that trigger real, governed platform workflows. The MCP server, announced on 7 April 2026, allows DBAs to expose DBmaestro's release automation, source control, CI/CD orchestration, and compliance capabilities through MCP.
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Cloudflare Outlines MCP Architecture as Enterprises Confront Security and Governance Risks
Cloudflare has outlined a reference architecture for scaling Model Context Protocol (MCP) deployments across the enterprise, positioning centralized governance, remote server infrastructure, and cost controls as key requirements for production-ready agent systems.
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AWS Launches Agent Registry in Preview to Govern AI Agent Sprawl across Enterprises
AWS released Agent Registry in preview as part of Amazon Bedrock AgentCore, providing a centralized catalog for discovering, governing, and reusing AI agents, tools, and MCP servers across organizations. The registry indexes agents regardless of where they run and supports both MCP and A2A protocols natively. Microsoft, Google Cloud, and the ACP Registry offer competing solutions.
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Cloudflare Launches Code Mode MCP Server to Optimize Token Usage for AI Agents
Cloudflare has launched a new Model Context Protocol (MCP) server powered by Code Mode, enabling AI agents to interact with large APIs with minimal token usage. The server reduces context footprint across 2,500+ endpoints, improves multi-API orchestration, and provides a secure, code-centric execution environment for LLM agents.
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Cloudflare Introduces EmDash: TypeScript CMS Positioned as WordPress Successor
Cloudflare recently announced the preview of EmDash, a new open-source CMS it describes as a “spiritual successor to WordPress.” Designed to rebuild the CMS model around a serverless, developer-focused architecture, EmDash includes AI-native features, developer tooling, and migration paths from WordPress, sparking debate across the WordPress and broader CMS community.
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AAIF's MCP Dev Summit: Gateways, gRPC, and Observability Signal Protocol Hardening
The MCP Dev Summit North America 2026, held on April 2-3 at the New York Marriott Marquis, gathered about 1,200 attendees. Hosted by the Linux Foundation's Agentic AI Foundation, discussions focused on the Model Context Protocol's evolution and enterprise adoption, particularly by Amazon and Uber, emphasizing security, interoperability, and scaling for production.
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Google Brings MCP Support to Colab, Enabling Cloud Execution for AI Agents
Google has released the open-source Colab MCP Server, enabling AI agents to directly interact with Google Colab through the Model Context Protocol (MCP). The project is designed to bridge local agent workflows with cloud-based execution, allowing developers to offload compute-intensive or potentially unsafe tasks from their own machines.
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Anthropic Designs Three-Agent Harness Supports Long-Running Full-Stack AI Development
Anthropic introduces a three-agent harness separating planning, generation, and evaluation to improve long-running autonomous AI workflows for frontend and full-stack development. Industry commentary highlights structured approaches, iterative evaluation, and practical methods to maintain coherence and quality over multi-hour AI coding sessions.
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Pinterest Deploys Production-Scale Model Context Protocol Ecosystem for AI Agent Workflows
Pinterest engineering teams have deployed a production-ready Model Context Protocol (MCP) ecosystem that allows AI agents to automate complex engineering tasks and integrate diverse internal tools. Domain-specific MCP servers, a central registry, and human-in-the-loop approval improve security, governance, and developer productivity while saving thousands of hours per month.