"X++ Programming Language (Microsoft Dynamics AX)" matching MCP servers:

Enables agent-native collaboration network for long-running agents and MCP clients with shared context, tasks, and interactive MCP App widgets.

Enables AI agents to securely retrieve pre-compiled bounded context and memory state over a zero-network Unix Domain Socket, ensuring tenant isolation and sub-millisecond rehydration in Kubernetes environments.

X adapter for SurfAgent that gives AI agents X-native verbs for navigation, extraction, posting, replies, likes, reposts, proof-first task execution, recovery, and deeper research workflows.

Enables AI agents to discover, compose, execute, and persist capabilities from OpenAPI, GraphQL, MCP servers, web forms, and peer runtimes through one MCP connection. It lets successful multi-provider workflows be saved as reusable endpoints and automatically re-planned when upstream contracts change.

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Open-source MCP hub providing a single endpoint for AI agents to access dozens of business integrations (CRMs, spreadsheets, telephony, ads) with multi-tenancy, OAuth, and context-efficient tool discovery.

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.

A lab demonstrating how to deploy a Model Context Protocol (MCP) server and integrate it with Microsoft Copilot Studio, allowing users to connect AI models to different data sources and tools through a standardized protocol.

Enables connections to Azure AI Agents within any MCP client, allowing users to leverage Azure AI Foundry's models and knowledge tools like Azure AI Search and Bing Web Grounding through a conversational interface.

Centralized management and routing of multiple MCP servers via unified Streamable HTTP/SSE endpoints, with granular group visibility, smart routing, and authentication.

A server implementing the Model Context Protocol (MCP) that delivers jokes upon request, demonstrating how to connect AI models to data sources and tools within Microsoft Copilot Studio.

An MCP server that fetches jokes from multiple sources (Chuck Norris, Dad jokes, and Yo Mama jokes) and integrates with Microsoft Copilot Studio to create a humor-focused conversational experience.

A Model Context Protocol server that runs on Cloudflare Workers with OAuth login, allowing clients like Claude Desktop to connect to it for tool-augmented AI interactions.

Standalone MCP server exposing only the security-classified tools from Shade Browser, enabling Brave CDP browser automation across 20 isolated profile slots. Built on FastMCP and Playwright Python.

Enables running and managing automated tasks with retry loops and machine-checkable success criteria via MCP tools.

A self-evolving MCP server that aggregates tools, supports cross-AI dialogue, and enables self-upgrade and hot-reload during conversations.

A multi-engine web search MCP server that integrates with coding agents, offering parallel search, page fetching, X/Twitter search, deep research, and configurable free/API layers.

Enables AI agents to control legacy web applications running in Microsoft Edge's IE Mode via MCP, using Selenium WebDriver and IEDriverServer for browser automation.

Transforms unstructured natural language operational problems into rigorously formulated, validated, and solved Mixed-Integer Linear Programming (MILP) models via an autonomous multi-agent graph, bringing closed-loop Operations Research capabilities to LLM assistants and MCP clients.

It enables Microsoft Copilot Studio agents to connect to and use MCP-based tools, such as fetching jokes, through an Azure-deployed server and Power Platform connector.