Packages

This repository contains Model Context Protocol (MCP) server implementations for Polarion Application Lifecycle Management (ALM) integration.

A Model Context Protocol (MCP) server that lets AI assistants interact with Microsoft Power BI Desktop and Power BI Service to inspect semantic models, run DAX, test Row-Level Security, and perform safe model/report modifications (notably via PBIP file editing for renames).

[](https://github.com/users/pab1it0/packages/container/package/prometheus-mcp-server)

ProPresenter 7 MCP server

[](https://registry.modelcontextprotocol.io) [](https://pypi.org/project/parentsquare-mcp/)

[English Version](https://github.com/PyPtt/ptt_mcp_server/blob/main/README_ENG.md)

An MCP server that exposes a unified set of tools for interacting with Qlik Sense Enterprise Repository and Engine APIs, including application discovery, metadata inspection, script extraction, field/variable retrieval with pagination/search, and an operation to create a hypercube for analytics.

CLI and MCP server for the Qonto banking API

[](https://pypi.org/project/rigol-dho824-mcp/)

Quality gates for AI agents. Lint, test, build checks with memory persistence.

MCP Server for Swedish Government (Riksdagen & Regeringskansliet) data

- 作者：五步蛇

An MCP server that provides build analysis and optimization recommendations for Rspack projects.

<!-- mcp-name: io.github.amarodeabreu/rug-munch-mcp -->

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The [Model Context Protocol](https://www.anthropic.com/news/model-context-protocol) (MCP) is an open standard that enables seamless integration between Large Language Models (LLMs) and external tools. Whilst it can be implemented in any AI system, including custom LLM setups, the degree of integration and optimisation varies based on the model's architecture and capabilities.

Provides a Model Context Protocol (MCP) server that exposes Sceptre CloudFormation management capabilities (stack lifecycle, querying, template rendering/validation, diff & drift, change sets, and project discovery) as MCP tools for AI agents.

scitex (SciTeX) is a Python toolkit and orchestration layer for scientific research workflows: experiment tracking/session management, unified file I/O, reproducible figure generation (via figrecipe), statistical testing, literature management (scholar), LaTeX manuscript compilation (writer), and cryptographic verification/provenance tracking (clew). It also exposes an MCP server surface (named scitex) with a large set of MCP tools intended for AI agents to run parts of the research lifecycle via structured tool calls.

MCP server for Android device control via ADB and scrcpy — gives AI agents vision and control over Android devices

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