Tag: Model Context Protocol
Google Launches Developer Knowledge API to Give AI Tools Access to Official Documentation
Tom Smith | | AI coding assistants, AI-assisted development, API Integration, API reference entities, automation, content source of truth., current best practices, Developer Knowledge API, development workflows, devops teams, Firebase, Google Cloud, implementation guidance, knowledge transfer, language models, Markdown retrieval, MCP Server, Model Context Protocol, official documentation, outdated documentation, programmatic access, real-time information, reliable AI assistance, security and trust, structured content support, troubleshootingGoogle's new Developer Knowledge API and MCP server provide AI assistants with direct access to up-to-date Google developer documentation ...
MCP-Powered Agentic AI in DevOps: Building Secure, Scalable Multi-Agent Pipelines for Autonomous SRE and Observability
Abhijit Ubale | | agentic AI, AI-Driven DevOps, autonomous intelligence, cloud-native infrastructure, devops evolution, MCP, Model Context Protocol, multi-agent systems, resilience and efficiency, site reliability engineeringDiscover how model context protocol (MCP) powered agentic AI is transforming DevOps by enhancing resilience and efficiency in cloud-native environments. Learn about the challenges, benefits, and real-world applications of autonomous multi-agent systems ...
AWS Sage: Your AI Assistant’s Gateway to the Cloud
Arun Sanna | | AI cloud operations, AWS automation, cloud observability, cross-service intelligence, dependency mapping AWS, DevOps AI assistants, incident investigation AI, MCP Server, Model Context ProtocolAWS Sage is an open-source MCP server that gives AI assistants unified, intelligent access to AWS with cross-service discovery, dependency mapping, impact analysis, and automated incident investigation ...
MCP — A Protocol for SREs
Jaimin Jashwantlal Gandhi | | agentic AI in financial services, AI agents, AI observability, AI workflows, AI-powered DevOps, Azure MCP server, building MCP servers, DevOps AI tools, Docker MCP server, infrastructure as code AI, integrated development environment AI, LLM context management, LLM interoperability, MCP, MCP architecture, MCP servers, Model Context Protocol, remediation automation, SRE automationThe Model Context Protocol (MCP) standardizes how AI agents access tools, APIs and data. Learn how SREs can leverage MCP to build smarter, automated workflows ...
Observe Adds Two AI Agents to Improve Observability
Mike Vizard | | AI debugging, AI in DevOps, AI observability, AI SRE Agent, AIOps, code instrumentation, developer productivity, devops automation, incident triage, MCP Server, Model Context Protocol, observability platform, OpenAI Codex, OpenTelemetry, SRE automation, Telemetry dataObserve Inc. introduces the AI SRE Agent and o11y.ai Agent to its observability platform—empowering DevOps teams to automate incident triage, generate OpenTelemetry code, and query application performance using natural language for faster, ...
Kong Adds MCP Support to Tool for Designing and Testing APIs
Mike Vizard | | AI APIs, AI security, Anthropic, API debugging, API management, API observability, API testing, compliance, devops, Git Sync, Insomnia 12, Insomnia MCP support, Kong Inc, Large Language Models, LLM integration, Marco Palladino, MCP, MCP clients, MCP servers, Model Context Protocol, open source tools, RBACKong Inc. has integrated Model Context Protocol (MCP) support into Insomnia 12, enabling DevOps teams to design, test, and secure MCP clients and servers for AI-driven APIs—reducing misconfigurations and enhancing compliance in ...
Atlassian Makes AI Coding Agent Generally Available
Mike Vizard | | AI code review, AI coding agent, AI DevOps tools, AI for software development, AI in CI/CD, AI project planning, AI software orchestration, Anthropic MCP, Atlassian AI, Atlassian Compass, Atlassian Team 25, devops automation, DX engineering metrics, Jira integration, Model Context ProtocolAtlassian launches Rovo Dev, an AI coding agent for writing, reviewing, and planning code, bundled with Bitbucket, Compass, and DX in the new Software Collection ...
Gemini CLI Extensions Bring Customization to the Command Line
Tom Smith | | AI command-line tool, AI for developers, AI-powered CLI, CI/CD Automation, command-line AI integrations, developer productivity tools, devops, devops automation, Google AI developer tools, MCP, Model Context Protocol, software development toolsGoogle’s Gemini CLI extensions framework enables developers to integrate external tools like Figma, Stripe, Postman, and Dynatrace directly within the terminal. Built on the Model Context Protocol (MCP), the system reduces context ...
How Model Context Protocol (MCP) is Fueling the Next Era of Developer Productivity
Mohith Shrivastava | | AgentExchange, agentic AI, AI Development, AI ecosystem, AI Governance, AI interoperability, AI protocols, AI standards, AI tool integration, devops, enterprise AI security, MCP, Model Context Protocol, open AI standards, Salesforce Agentforce, vibe codingMCP standardizes how AI agents connect to tools and data, solving fragmentation in AI development with secure, reusable, and scalable integrations ...
env zero Revamps Infrastructure Automation Platform for AI Era
Mike Vizard | | AI agents, cloud compliance, Cloud Governance Platform, Cloud Security, CloudFormation, devops automation, IaC, infrastructure as code, infrastructure automation, kubernetes, MCP, Model Context Protocol, policy as code, Static Code Analyzer Agent, TerragruntEnv Zero (formerly env0) has revamped its Cloud Governance Platform with AI and MCP support, including a new Static Code Analyzer Agent to streamline IaC governance, compliance, and security across tools like ...
GitHub MCP Registry Launches as Central Hub for AI Development Tools
Tom Smith | | AI agent integrations, AI-assisted development, AI-powered workflows, developer productivity, MCP servers, Model Context Protocol, open-source MCP ecosystem, registry for MCP, workflow automationGitHub launches the MCP Registry, a centralized hub for discovering and deploying Model Context Protocol servers. Backed by partners like Figma, Postman, HashiCorp, and Dynatrace, the registry simplifies integration, boosts security, and ...
CodeRabbit Adds CLI Support to Code Review Platform Based on AI
Mike Vizard | | AI code review, AI coding tools, AI in DevOps, AI trust layer, CLI support, code dependencies, code graph analysis, custom pre-merge checks, developer productivity, DevOps workflows, Git repositories, MCP client, Model Context Protocol, open source code review, secure code review, software quality, unit test generationCodeRabbit expands its AI-powered code review platform with CLI support, auto unit test generation, custom pre-merge checks, and an MCP client. Backed by $60M in new funding, CodeRabbit helps developers catch routine ...
