"Bower" matching MCP servers:

Enables interaction with Jira issues via JQL search, epic management, comments, attachments, and issue CRUD, with support for both Cloud and Server/Data Center instances.

Provides MCP tools for setting up and managing Hephaestus development environment with Docker containers, including starting/stopping services, initializing databases, and troubleshooting.

Enables AI coding agents on different machines and accounts to work one repository as a team by declaring file and symbol claims before editing, so collisions are refused up front rather than discovered at merge. It also supports delegating tasks between teammates' agents, which do the work with their own tokens and commit, with replies, commit shas, claims and messages landing on one shared board.

An intelligent MCP server that analyzes projects and recommends professional role assignments, enabling users to download specialized agent templates for 100+ roles across various company departments.

Build Power BI reports with natural language through an MCP server that connects AI assistants to Power BI's PBIR file format for creating pages, visuals, themes, and filters locally.

Local-first MCP server and Chromium extension for AI-assisted Microsoft Power Automate work, enabling users to inspect, validate, edit, run, review, and revert cloud flows using a browser session.

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 AI assistants to edit Power Automate cloud flows live, including reading/writing flow definitions, managing connectors, and syncing changes, with no admin rights or app registration required.

The Power BI Modeling MCP Server implements the MCP specification to create a seamless connection between AI agents and Power BI semantic models. This allows developers and AI applications to interact with Power BI models in entirely new ways, from using natural language to execute modeling changes to autonomous AI agentic development workflows.

Enables graph analysis over interconnected agent networks by computing centrality and authority scores, shortest paths, dependency orderings, maximum flows, and minimum spanning trees through MCP tools.

An MCP server that enables Claude to create, run, and debug Power Automate flows, with tools to explain failures and compare runs.

Bridges the Model Context Protocol to the Tabular Object Model, enabling natural language inspection, optimization, and authoring of DAX in Power BI Desktop.

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

Enables programmatic control of the Yingjia EMK850+ low-power analyzer via a serial port, exposing FastAPI endpoints for reading power, version, configuration, clearing the baseline, and managing the serial port.

Monitors and analyzes dependency health in Node.js projects, providing tools to check outdated packages, vulnerabilities, licenses, and suggest safe upgrades.

Enables read-only analysis of Power BI China reports and semantic models through the China REST API, supporting report discovery, metadata retrieval, and DAX query execution.

A secure cloud MCP server for Antigravity AI that provides AI agents with full-stack developer and cybersecurity capabilities, using SSE transport and API key authentication.

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 Claude Code to read and modify Power BI data models locally, including searching DAX formulas and editing measures through a direct SSAS connection.

Enables bidirectional conversion between editable project folders and packaged desktop files, using an authenticated portal and a controlled Windows desktop worker, with per-user job queues and verification.