"Interaction with SAP GUI" matching MCP servers:

Enables AI-powered manufacturing operations analysis and automated report generation from SAP DMC, with direct delivery to MS Teams.

Simulates and intermediates integrations with SAP via OData, exposing automated tools for AI agents and assistants.

Enables natural-language interaction with SAP BTP destinations and OData services through MCP tools, allowing users to discover and query OData endpoints and get AI-generated answers.

Delegates frontend/UI refinement to Gemini via agy CLI, using iterative vision loops and diff-gating to realign UIs to design mockups without affecting backend code.

Provides a structured map of 120 practical AI prompts across 6 business domains, enabling users to quickly generate complete prompts for specific tasks using slash commands or tools.

MCP server that gives agents the same interface as dashAI's GUI: explore datasets, list models, train, track jobs, and read metrics.

Enables AI agents to receive a structured verdict on whether a UI component need can be satisfied by existing shadcn/ui or 21st.dev components or requires a custom build, with coverage scoring against real component evidence and a Mobbin reference when needed.

Enables interaction with Google Ads accounts through the Model Context Protocol, specifically tuned for local service businesses. Provides account health scoring, search term waste analysis, and diagnostic insights without requiring GAQL knowledge.

Enables safe interaction with cloud LLMs by redacting sensitive entities into reversible placeholders, enforcing deterministic egress policies with human approval, and rehydrating responses so real data never leaves the process.

Enables hot-swapping llama.cpp models in a running Claude Code session via launchctl or systemd, preserving conversation context across model changes.

Enables building and running custom LLM benchmarks with multi-judge evaluation, supporting GUI, MCP client, and CLI usage for ranked, auditable results.

An MCP server that enables interaction with property-driven machine learning experiment pipelines, including listing experiments, retrieving configs, comparing runs, and executing experiments with approval gates and full tracing.

engRAM provides encrypted, offline, RAM-resident memory for AI agents via MCP, enabling fast hybrid search, deterministic importance-based recall, and secure vault management with tools like memory_search, memory_store, and memory_forget.

MCP server exposing portfolio AI tools including semantic search, evaluation framework, and prompt management, enabling natural language interaction with these services via Claude Desktop.

Enables interaction with Magnet (magnet.run) via MCP, requiring an API key. Supports Cursor, Claude Desktop, and Claude Code.

Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.

Enables interaction with Arcanna's AI use cases through MCP, supporting job management, event processing, feedback, and health monitoring.

Enables interaction with OpenAI-compatible model proxy APIs through MCP, supporting text generation, vision understanding, and image generation with automatic model discovery and routing.

An MCP server for generating images and checking generation status through ComfyUI's API. It allows interaction with local ComfyUI instances by providing workflow-based image generation and status checking tools.

MCP server that lets AI assistants interact with ChatGPT Web via browser automation, enabling chat, web search, file/image attachments, and model selection.