"C# Azure .NET development assistance" matching MCP servers:

Enables interaction with Azure Table Storage directly through Cline. This tool allows you to query and manage data in Azure Storage Tables.

An MCP server that exposes Azure Data Factory operations as tools any LLM can call — trigger pipelines, monitor runs, inspect datasets, and get factory health summaries through natural language.

Exposes Azure Databricks Jobs tools (list, run, get output) with Entra ID authentication and OBO flow for per-user context.

A multi-protocol API server that exposes a single ORM schema over 11 transports including MCP, enabling AI agents to interact with data from 13 different databases via a unified interface.

Enables AI assistants to validate email addresses, track validation tasks, view per-address results and account analytics, and export cleaned email lists through the UChecker API.

Provides free read-only business checks for IBANs, EU VAT number format, Peppol e-invoice rules, supplier bank-detail changes, and CSV/XLSX data cleaning.

Enables AI tools to normalize messy payroll spreadsheets (xlsx/xls/csv) into a standardized 10-column template for social insurance calculation, with automatic column detection, net-to-gross conversion, and cross-entity/month merging.

Provides a read-only MCP interface for Azure Data Factory monitoring and root-cause analysis, with a health check for MCP clients.

A Model Context Protocol server that enables Claude Desktop to query and analyze Taiwan CoolPC computer component prices, helping users generate custom PC quotes through AI assistance.

Enables AI agents to interact with Microsoft Fabric by exposing tools for managing workspaces, notebooks, SQL queries, pipelines, and Livy Spark sessions. It provides a comprehensive set of operations for data engineering and analytics tasks using standard Azure authentication.

Enables comprehensive interaction with DHIS2 health information systems through 40+ tools covering complete Web API functionality. Supports data management, tracker programs, analytics, and bulk operations for DHIS2 development and administration.

Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.

Enables AI assistants to securely interact with the Corpus Tracker application to manage financial portfolios and analyze net worth. It provides tools for tracking stock and gold holdings, logging transactions, and generating cash flow trends.

Enables local stdio-based interaction with SingleStore databases from MCP clients, letting users run SQL, inspect schemas, and manage SingleStore Pipelines for continuous data loading from S3, Kafka, Azure, GCS, or filesystem sources.

Enables read-only access to a Fillfolio account's normalized portfolio data, including net worth, holdings with cost basis, cash and liabilities, activity, and exact asset details, plus optional bank spending summaries, transactions, and budgets for eligible accounts. Clients can query stored data only — they cannot trade, move money, modify holdings, or access credentials.

Enables an AI assistant to read, validate, and maintain a local wealth document, list holdings, record dated valuations, compute net worth by currency, and import spreadsheet data over stdio without network access.

Enables data engineers and BI professionals to perform data pipeline development, quality assurance, visualization, and API integration locally with AI assistance.

Enables interaction with Azure Data Factory instances, allowing users to list, read, create, update, and trigger pipelines, datasets, linked services, and runs through natural language.

Enables AI agents to operate a self-hosted double-entry personal finance ledger: answering spending, net-worth and cash-flow forecast questions, searching transactions, and managing schedules, rules and imports through audited, reversible tools. Read and write access is scoped by token, with privacy controls over what financial details reach the agent.

Connects external APIs like Open-Meteo and AgroMonitoring to your development environment through URI-like requests, allowing access to live data directly in MCP-compatible tools.

Enables AI agents to query Microsoft Copilot Studio telemetry and governance data in plain English, pulling from multiple Azure and M365 APIs into a local SQLite database.

Enables interaction with the Unstructured API to manage data workflows, including creating and managing source connectors (S3, Azure, Google Drive, etc.), destination connectors (Weaviate, Pinecone, MongoDB, etc.), and workflows for document processing and data pipelines.

Enables Claude to diagnose and fix Azure Data Factory pipeline failures with automated rollback.

Enables self-hosted personal finance management for MCP clients by connecting read-only bank accounts via SimpleFIN, syncing transactions into a local SQLite database, and exposing tools to query balances, spending, budgets, cash flow, and net worth.

Provides governed MCP tools for validating, explaining, and remediating clinical supply chain data quality across Bronze, Silver, and Gold layers on Azure Databricks, with data contracts and an evaluation harness.

Enables read-only monitoring and root-cause analysis of Azure Data Factory resources through MCP, allowing users to inspect factories, pipelines, and pipeline runs and diagnose failures via natural language.

Exposes a governed semantic layer built on dbt Core and DuckDB, enabling AI agents to query predefined metric definitions for a P&C insurance dataset. Prevents metric hallucination by restricting agents to governed tools and read-only data access.

An MCP server built with Smithery that provides a foundation for real estate data harvesting capabilities. Currently includes example functionality for testing and development purposes.

Enables users to discover, search, validate and cross-map versioned statistical code systems — including industry, occupation, product, education and questionnaire response hierarchies — with deterministic retrieval and provenance. It supports questionnaire development, survey coding and reproducible statistical harmonisation without running any AI model inside the server.