Enables AI assistants to programmatically manage Power BI workspaces, reports, and dashboards while executing DAX queries and triggering dataset refreshes. It supports secure OAuth2 authentication for operations like report exporting, workspace management, and real-time push dataset updates.
Enables AI assistants to interact with Power BI datasets through natural language, allowing users to query data, generate DAX, and get insights without leaving their AI assistant.
This MCP server provides a web-ready SSE bridge for Microsoft's Power BI Modeling MCP Server, enabling URL-based interaction with Power BI semantic models from any programming language without local stdio piping. It features automatic Azure authentication and dynamic binary resolution for seamless Power BI data analysis.
Connect Claude to your Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and get results — with large datasets automatically saved to local CSV files to protect the LLM context window. Includes a query history log for cross-session reuse and auditability.
Enables AI assistants to interact with Microsoft Fabric and Power BI services through the Model Context Protocol. Users can manage workspaces, execute DAX queries, refresh datasets, and create Fabric notebooks using natural language.
Enables users to search for and retrieve detailed information about celebrities from the API Ninjas database. Supports filtering results by name, nationality, net worth range, and height.
Enables AI agents to control Digital Loggers (DLI) Web Power Switches for hardware discovery, status querying, and power operations. It features a safety-first architecture with configurable access levels to protect critical infrastructure from unauthorized or accidental power loss.
Enables bank identification number (BIN) lookups via the Bin Lookup Checker API. It allows users to retrieve information about card issuers, card types, and brands using a specific BIN.
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for SAP BusinessObjects BI (beta): https://www.cdata.com/download/download.aspx?sku=GJZK-V&type=beta
Debug, build, and manage Microsoft Power Automate cloud flows with AI agents. Get action-level error details, build flows from natural language, trigger and resubmit runs, and operate across multiple tenants. Requires a Flow Studio MCP subscription — get an API key at https://mcp.flowstudio.app
Provides a comprehensive suite of utility tools for string manipulation, mathematical calculations, and array processing via the Power Assist API. It enables complex data transformations and validations including regex operations, statistical analysis, and collection management.
Enables LLMs to analyze and interact with Power BI (.pbix) files through PBIXRay capabilities. Provides access to data models, DAX measures, Power Query code, table relationships, and data contents with configurable tools and pagination support.
A Model Context Protocol (MCP) server that enables AI assistants to interact with Excel Power Pivot data models. Create and manage DAX measures, relationships, and more through natural language.
Enables LLM clients to analyze and interact with Power BI (.pbix) files, providing access to data models, DAX measures, Power Query code, table relationships, and data contents through natural language.
Enables interaction with Power BI and Fabric through MCP tools, including workspace discovery and semantic model queries, with an agent loop and HTTP endpoints for Next.js backends.
Provides AI models with real-time data about New England's power grid through a Model Context Protocol interface, enabling questions about current power generation, fuel mix, and marginal fuels.
Enables AI-powered natural language queries about BIT Information Portal (BIP) data by integrating with BIP APIs through session management. Uses Google Gemini to intelligently route questions to appropriate endpoints and generate contextual answers about students, departments, courses, faculty, and achievements.
Gives AI agents persistent memory with bi-temporal tracking, automatically extracting entities from natural language and enabling time-travel queries to understand facts as they existed at any point in history.