"author:MCP-Mirror" matching MCP servers:

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 access to WeatherXM PRO weather station data, including real-time observations, historical data, and hyperlocal forecasts through station queries, geographic searches, and H3 cell-based weather information.

Provides comprehensive access to Binance Futures API endpoints for account management, real-time market data retrieval, and order execution. It supports 17 essential trading tools including position tracking, smart ticker caching, and risk management functionality.

Enables AI assistants to execute AWS CLI commands and retrieve service documentation through the Model Context Protocol. It supports Unix pipes for output filtering and provides pre-defined prompt templates for common cloud management tasks.

Routes MCP requests intelligently to multiple backend servers through a single gateway, bypassing tool limits by exposing only 2 routing tools while providing access to unlimited backend tools across services like GitHub, databases, and more.

Provides AI assistants with intelligent access to ML textbook content through RAG-powered search, chapter retrieval, and documentation generation capabilities. Uses local models for privacy-focused, source-grounded responses from indexed technical books.

Enables AI assistants to interact with Gmail through natural language, supporting email sending/reading, searching, draft management, label organization, and batch operations with secure OAuth authentication.

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 management of sports video metadata with PostgreSQL backend, supporting CRUD operations, advanced search, and tracking of game information including teams, scores, player statistics, and match details.

An MCP server that provides browser automation capabilities via Playwright using Server-Sent Events (SSE). It enables clients to perform web operations and scraping through a containerized Docker environment.

Enables interaction with AWS Amplify Gen2 application data through natural language, allowing AI assistants to query, create, update, and delete records using conversational commands with Cognito authentication.