"author:MCP-Mirror" matching MCP servers:

Enables AI agents to interact with the Brex financial platform, allowing access to account information, transactions, expenses, receipts, budgets, and spend limits through the Brex API.

An MCP server for Infrastructure as Code that enables AI assistants to manage cloud resources through Ansible and Terraform operations. It supports executing playbooks, managing AWS services, and running Terraform commands with optional LocalStack integration.

Enables LLMs to interact with Agent-to-Agent (A2A) protocol compatible agents, allowing them to send tasks, receive responses, track task status, and query agent capabilities through the Model Context Protocol.

Enables AI assistants to manage cloud infrastructure through natural language by providing a unified interface to the Dokploy platform. Supports Docker containers, applications, databases, domains, monitoring, and deployment operations through conversational commands.

Enables AI models to retrieve user geolocation information through EdgeOne Pages Functions. Provides access to location data via the Model Context Protocol for integration with large language models.

Provides access to real-time satellite tracking data using the N2YO API, enabling users to get satellite positions, predict visible passes, search satellites by name or category, and retrieve TLE orbital data.

An MCP server that extracts clean, structured Markdown content from web page URLs using the WebforAI library. It simplifies feeding web content into AI models by removing HTML noise and intelligently processing tables and links.

Provides access to Swiss court decisions through the entscheidsuche.ch API, enabling search, retrieval, and analysis of legal documents across different cantons and courts using natural language queries.

Implements a structured development workflow for LLM-based coding with feature clarification, PRD generation, phased development, and task tracking. Guides LLMs through organized feature development from requirements gathering to completion with document storage and progress monitoring.

Enables AI agents to dynamically discover and interact with APIs through Swagger/OpenAPI specifications and Postman collections using a strategic four-tool approach. It streamlines API integration by providing universal tools for endpoint discovery, detailed request information, and authenticated execution.

Enables seamless interaction with Azure DevOps for managing Git repositories, branches, and pull requests through natural language. It also supports automating and monitoring pipelines while providing secure, type-safe operations within MCP-compatible clients.

Enables interaction with the Futarchy protocol on Solana, allowing users to manage DAOs, create and query proposals, and analyze community sentiment from Discord and Twitter for informed decision-making.

Integrates with FoundryVTT tabletop gaming sessions, allowing AI assistants to query game data, roll dice, generate content (NPCs, loot, encounters), manage combat, and provide tactical suggestions through natural language.