"Using Azure DevOps for Task Queries and Code Reviews" matching MCP servers:

Enables AI assistants to search and filter Azure platform updates, including previews, general availability, and retirements, through natural language queries.

MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis, with NTLM authentication support.

Gemini-powered MCP server for automated code review, analysis, and documentation.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

An MCP-powered AI agent that audits your Gmail for recurring subscriptions, detects silent price increases, and flags unused services.

Enables AI agents to control NetEase Cloud Music playback, login, search, and get personalized recommendations through official APIs.

A minimal MCP server template that offers calculator tools, resources, and prompts for learning NitroStack fundamentals, built with TypeScript and Zod.

MCP server that generates images using Gemini 3 Pro Image on Vertex AI, with support for reference images, task management, and GCS integration.

An MCP server for Tendem that enables users to complete tasks using a hybrid of AI and human agents. It allows for seamless task delegation and management within MCP-compatible clients.

A Google Calendar MCP server built with FastMCP, providing tools for event CRUD, calendar management, and availability queries via the Google Calendar API.

An MCP server that enables Claude to manage Remember The Milk tasks, lists, and notes using natural language and Smart Add syntax. It provides full API coverage for task manipulation, including priority settings, tags, and undo support.

An MCP-native compliance agent for the EU's Carbon Border Adjustment Mechanism (CBAM), enabling natural-language queries to validate shipments, calculate embedded emissions, and generate CBAM declarations.

Enables querying git commit history to analyze when and why code changes happened, providing authorship context and diffs for specific modules.

An open-source MCP server for live Apple App Store competitor research, enabling AI agents to search apps, fetch metadata, compare competitors, and retrieve reviews and top charts as structured JSON.

Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.

Enables AI assistants to query, analyze, and discover FileMaker database schemas via OData v4, with pandas-powered analytics for efficient data summaries.

Enables AI assistants to render 3D models from OpenSCAD code, generating single views or multiple perspectives with full camera control. Supports animations, custom parameters, and returns base64-encoded PNG images for seamless integration.

AI-powered incident management MCP server that enables investigation, root cause analysis, and response actions for production incidents using mocked data for demo purposes.

Enables AI assistants to interact with Intervals.icu fitness tracking and wellness data, allowing users to fetch, filter, and group activities or health metrics. It provides structured summaries of workouts and physical well-being through natural language queries.

MCP server that enables cloud models (like Gemini/Claude) to delegate coding tasks to a local llama.cpp server, preserving cloud usage limits through an AI-powered code review loop.