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Om Shree
Om Shree

Posted on • Originally published at gentoro.com

MCP Weekly: Enterprise Adoption, Agent Coordination, and Power BI’s Big Leap

This week’s update focuses on the Model Context Protocol (MCP) as the enterprise standard, headlined by the launch of the Power BI Modeling MCP Server in public preview — enabling AI agents to autonomously, securely, and manage Power BI semantic models via bulk operations.

Agent orchestration matured significantly with Microsoft Foundry unifying frameworks to support hierarchical coordination, allowing a Coordinator agent to delegate complex, fault-tolerant tasks to specialized child agents.

The MCP ecosystem rapidly expanded as new servers from Devolutions (RDM) and Unthread launched to secure privileged access management and simplify conversational operations — while a demonstration confirmed that the assistant from AnthropicAI can use MCP for secure, local Windows file integration.

Research introduced sophisticated agent frameworks — Agent‑R1, Octopus, and Orion — pushing the boundaries of multimodal and tool-based reasoning. On the flip side, the Cloudflare outage served as a reminder that system resilience and safety mechanisms — core tenets of MCP standards — remain critical for continuous enterprise operations.


Major Updates of the Week

Power BI Modeling MCP Server Launch

  • Microsoft launched the Power BI Modeling MCP Server in public preview. This server implements MCP to securely connect AI agents directly to Power BI semantic models.
  • It enables comprehensive model management: agents can create, update, and delete key components like Tables, Columns, Measures (DAX), Relationships, Roles, and Object-Level Security (OLS). The support spans across Power BI Desktop, Fabric Workspaces, and PBIP files.
  • The server is built for scale: it supports bulk modeling operations (e.g., refactoring or applying security rules) on hundreds of objects simultaneously, with transaction support to ensure model consistency.
  • Validation and safety mechanisms are baked in via the Elicitation MCP protocol — requiring user approval before first modification or query against a semantic model; agents can also execute and validate DAX queries.
  • Because the server proxies requests to Power BI, users are strongly advised to backup models before performing operations — unintended changes from LLM-driven modifications are possible.

Agent Runtimes & Orchestration Systems

Microsoft Foundry: Hierarchical Agent Coordination

  • In a recent session at Microsoft Ignite, Foundry was presented as a unified agent framework merging strengths of existing frameworks (e.g. AutoGen, Semantic Kernel).
  • It creates a foundation for both non-deterministic agents (LLM + tools + memory) and deterministic workflows, integrating standards like MCP (for context retrieval) and A2A (for inter-agent chat).
  • Key features include hierarchical execution: a Coordinator agent can delegate large or long-running tasks to specialized child agents — enabling modular, manageable, and scalable executions.
  • Shared memory ensures seamless context propagation and state tracking between agents.
  • Fault tolerance is supported via durable task extensions, enabling long-running operations with planned human-in-the-loop pauses as needed.

Devolutions RDM: Secure Privileged Access Management

  • Devolutions released a Remote Desktop Manager (RDM) MCP Server, creating a secure automation layer that enables AI assistants to interact with RDM without exposing credentials.
  • The server enforces mandatory user approval workflows, credential isolation, and full audit logging for every AI-powered action.
  • It uses a secure, user-scoped named-pipe transport — designed as a more secure isolation layer than standard localhost HTTP, suitable for high-trust environments.
  • It supports multiple LLM backends, including OpenAI, Google Gemini, Anthropic, as well as self-hosted options.

Unthread: Conversational Interface for Operations

  • Unthread launched an MCP Server aimed at simplifying AI integration for support and operations teams.
  • The server’s functionality allows connecting various platforms — ticketing systems, HR tools, internal operations — through a single conversational interface.
  • Teams can trigger workflow actions directly via chat (e.g., via ChatGPT or Claude), significantly reducing repetitive tickets and improving response times.
  • Early adoption reports (e.g., from partner Lemonade) highlight faster operations and faster feature delivery.

MCP Use Case: Local Windows Integration

  • A demo by a Windows developer showed that Claude (from AnthropicAI) can leverage MCP on Windows to simplify everyday tasks — such as summarizing documents in the Downloads folder or organizing project files — via natural-language commands.
  • The design ensures user consent gating (particularly before accessing file explorer), preserving endpoint security while enabling smooth workflows.

Cloudflare’s Rough Week: A Reminder on Keeping Things Running

  • On November 18, Cloudflare experienced a service outage for a couple of hours. The disruption impacted many websites and business tools.
  • The root cause was a misconfiguration in their bot-blocking setup that caused a massive config file to crash the system.
  • This incident underscores the importance of infrastructure resilience: for those building with MCP, the ability for agents to maintain continuity and safely resume operations after an unexpected system failure — a core focus of MCP standards — is more valuable than pure speed.

Community Debugging, Issues, and Solutions

Power BI MCP Server Deployment Fix

  • A community discussion (on Reddit) about the official Power BI Modeling MCP Server revealed an initial deployment hurdle: a tenant authentication error prevented connection to semantic models within Fabric Workspaces.
  • Further concerns included limitations related to interacting with report visuals, which affects operations like cleaning up unused measures, and broader governance/trust concerns due to potential LLM-driven errors in production.
  • Workarounds in the community included ensuring human validation of changes and relying on Git / TMDL version control for auditing and safety.

Agent Sandbox File Access Workaround

  • On the Cursor forum, users reported missing file access when running tools (e.g. database migration scripts) within isolated Agent Sandbox environments.
  • The suggested workaround: include .env files in the sandbox mounts so database migration tools have the necessary configuration and environment variables to function correctly within the isolated environment.

My Thoughts: Beyond the Hype Cycle

The notion that MCP is overhyped or dying overlooks the fundamental needs of enterprise adoption. The strategic significance of this week’s announcements — especially Microsoft launching the official Power BI Modeling MCP Server with transactional support and mandatory security features, and Devolutions using MCP for secure, high-trust privileged access management — is strong evidence that MCP is not a fad. Rather, it is becoming an operational necessity when building AI systems at enterprise scale.

Laboratory-grade autonomous agents are interesting, but for real-world, mission-critical enterprise systems, standardized context, isolation, and auditability provided by MCP are non-negotiable. Ignoring MCP now means staying locked into proof-of-concept mode — unable to scale agents into secure, production-grade workflows. MCP is emerging as the de facto “API of Trust” required to bridge agents with real business systems.


About the author: Technical Evangelist at Gentoro

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