"Integrating Azure Synapse with Other Services" matching MCP servers:

A self-hosted, temporal knowledge-graph memory for AI coding agents — shared across projects, queryable across time, written and read via MCP by any Claude Code session.

Integrates Microsoft Azure cloud services with GenAI applications using the Model Context Protocol.

Integrates Azure cloud services with GenAI applications via the Model Context Protocol, enabling comprehensive Azure API coverage with enterprise-ready features.

MCP server for Azure resource management, AI Foundry, and Entra ID — inspect and operate Azure infrastructure through AI agents.

Enables face detection and recognition in Agentic AI workflows using Azure Face API, supporting attribute detection, image comparison, and face recognition.

Enables Claude to receive physical touch events from a phone via the PWA and respond with text, haptic vibrations, and expression changes, giving an AI companion embodied presence through touch.

Deploys a Model Context Protocol (MCP) server on Azure with industry-specific templates, sample data, and pre-configured tools for AI agents to query and manage resources.

Enables local coding agents to delegate reasoning, planning, review, derivation, and diagnosis tasks to ChatGPT Web through Chrome DevTools Protocol, with security guards and evidence-based verification.

Enables listing image blobs from Azure Blob Storage and generating descriptions using Azure OpenAI's gpt-4o vision model.

A lightweight RAG server deployed on Azure Container Apps that ingests PDFs, creates embeddings, and exposes a search_documents tool over MCP for retrieving relevant document chunks.

Enables AI assistants to generate and edit images using Azure OpenAI's gpt-image-1 model through the Model Context Protocol.

Enables interaction with Azure AI Agent Service by automatically discovering agents and creating MCP tools for querying and managing agent workflows.

Generates high-quality 8-second videos with native audio from text prompts or images using Google's Veo 3 API, and automatically uploads them to Azure Blob Storage for cloud hosting and management.

The MCP server provides tools for entity extraction, query refinement, and relevance checking to enhance RAG applications by integrating with OpenAI and Gemini.

Node.js + TypeScript server that runs Synapse AI agent graphs with Salesforce integration, performing all AI inference and MCP tool execution to keep Apex within governor limits.

Enables AI agents to discover, pay for, and invoke x402-priced services such as document OCR, document analysis, media transcription, remote browser sessions, and receive-only email inboxes using USDC on Base, with no API keys and receipt-backed results.

Deploys an MCP server on Azure Container Apps that exposes Azure ML managed online endpoints as tools, enabling AI agents like Azure AI Foundry to invoke machine learning models via natural language.

Enables AI assistants to manage Azure AI Search services, including indexes, documents, indexers, and skillsets, via the Model Context Protocol.

Modular monolithic FastAPI shared AI service platform providing config center, prompt registry, LLM gateway, RAG service, secret manager, tool registry, and MCP server wrapper.

Exposes seven tools that turn Azure cost-pattern and AI FinOps analysis into drafted optimization plans, with human approval bound to a SHA-256 digest and dry-run execution recorded in a hash-chained audit log. Deliberately ships no approve tool, so nothing can be changed in the estate without people signing off first.