"How to open desktop applications on Windows" matching MCP servers:

Enables persistent, project-scoped memory for OpenAI Codex Desktop and CLI on Windows, capturing prompts and responses through managed hooks, with federated recall across projects and optional local graph extraction.

Enables Codex to drive a locally running Windows Doubao desktop app over localhost CDP, so users can send tasks and follow-ups to existing conversations, wait for runs to finish, and read back replies. It also lists local sessions and checks connection status, without needing Doubao Web or an Ark API key.

Image generation for Claude Code, Claude Desktop and any MCP client, using your existing ChatGPT subscription. Drives the already-signed-in Codex desktop app over the Chrome DevTools Protocol - no API key, and no Codex agent quota. Supports iterative refinement through a reusable conversation. Windows only; requires the Codex desktop app.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

Routes every Claude Code/Hermes prompt through a local LLM planner and Open-Jev probe, injecting calibrated probability context while failing open if local services are unavailable.

Made-to-order data for AI agents via x402 micropayments on Base. Describe a need in plain language, get a custom quote, pay per call. No signup, no API keys. HTTP + MCP transports. 5 tools.

Provides AI agents with tools for paper trading stocks, options, ETFs, and bonds, including advanced options strategies and risk analysis, using real market data without financial risk.

Enables AI agents to interact with a signed-in Gemini web account through a local stdio MCP server for status, capabilities, models, prompts, history, conversations, memory, usage, and downloads.

Enables AI agents to drive your own signed-in ChatGPT web account — asking questions, continuing chats, attaching files, toggling thinking or web search, creating images, transcribing recordings of any length, reading replies aloud, and managing conversations, memories and projects. It runs against a local Chrome tab on chatgpt.com and reports live progress and step-named errors back to the client.

Enables listing image blobs from Azure Blob Storage and generating descriptions using Azure OpenAI's gpt-4o vision model.

Official MCP server for Theta EdgeCloud's On-Demand Model APIs, providing access to 20+ AI models including image generation, audio transcription, and LLMs, directly from MCP-compatible clients.

Enables Claude to delegate web search, page reading, text drafting, and parallel multi-model image generation to cheaper helper models on any OpenAI-compatible backend. Claude stays in charge of planning and final decisions while consuming fewer of its own tokens.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

Connects Claude Code and Codex to Jev-compatible System One services for context compaction, completion verification, and decision tasks like screening, classification, and gating.

Provider-neutral Vision MCP Server — image analysis via 10 inference providers through a single MCP server.

A lightweight MCP bridge that lets Claude Code delegate heavy tasks to the Antigravity CLI - saving context window and tokens for what matters.

Enables AI assistants to manage notebooks, sources, notes, search content, and interact with AI models through Open Notebook.

Personal knowledge graph with 16 MCP tools. Auto-links, deduplicates, tracks themes, synthesizes insights.

Exposes OpenWebUI's admin REST API as an MCP server, enabling administrative operations on OpenWebUI through natural language via MCP tools.

Enables AI coding agents to perform end-to-end medical image analysis locally, from inspecting CT/MRI/X-ray studies and running containerized segmentation models like MedSAM2, TotalSegmentator, and HD-BET to refining masks, measuring volumes, and writing reports. It pairs preset or custom guideline protocols with a code-customizable viewer that renders images back to agents as annotated PNGs and to humans as interactive HTML.