"Information about ImGui (Immediate Mode GUI library)" matching MCP servers:

Enables AI to operate Windows applications through recursive grid-based screenshot navigation and proportional coordinates, with UIAutomation, mouse/keyboard control, sequential batch actions, and input locking.

Cross-platform MCP server providing Claude Code-style plan mode via four tools (enter_plan_mode, get_plan_mode_standards, todo_write, exit_plan_mode) with soft guidance through SKILL.md.

Autonomous spec-to-product coding-agent CLI. Its MCP server exposes 34 tools over stdio: project state and task-queue ops, memory retrieve/store, code search, quality and verification reports, repo hotspots/co-changes, and structured findings/learnings.

Enables AI coding agents to request user input through customizable desktop forms, returning structured data.

Enables AI assistants to control Windows GUI by listing and focusing windows, capturing element snapshots via UIA/OCR/CDP, performing clicks/inputs/scrolls, verifying changes, waiting for screen updates, taking screenshots, and obtaining visual descriptions.

An MCP server implementing a multi-phase backend for structured model interactions, bounded compilation, exact-hash confirmation, and Codex-run provenance, with trust-separation hardening.

A lightweight Model Context Protocol (MCP) orchestrator designed for efficiency at scale. It features TOON compression (reducing token usage by 30-90%) and Lazy Loading, making it the ideal solution for complex, multi-tool agentic workflows.

Executes TypeScript code in a secure sandbox with IPC-bridged access to MCP tools like filesystem operations and network requests.

An MCP server that enables users to manage, search, and apply specialized AI personas within Claude Desktop and Claude Code CLI. It features a local-first architecture with YAML-based storage for organizing curated prompts and role collections.

A Code Mode MCP server for the e2b API, giving agents three tools (search, execute_read, execute_write) to write and run JavaScript functions inside sandboxed environments for API discovery and calls.

Enables AI agents to write and execute Python code in an isolated sandbox that can orchestrate multiple MCP tool calls, reducing context window bloat and improving efficiency for complex workflows.

Executes Python code in isolated rootless containers while proxying MCP server tools, reducing context overhead by 95%+ and enabling complex multi-tool workflows through sandboxed code execution.

Enables LLM orchestrators to delegate low-level GUI subtasks such as clicking, typing, and form filling to a local vision-language policy through a single MCP tool call, avoiding per-action round trips.

Natural voice conversations for AI assistants that brings human-like voice interactions to Claude, ChatGPT, and other LLMs through the Model Context Protocol (MCP).

Provides coding agents with 63+ bounded, verifiable work loops, enabling goal-driven loop selection and executable protocol generation via MCP tools.

Enables LLMs to interact with MCP servers by writing TypeScript/JavaScript code instead of direct tool calls. Provides a code execution sandbox that accesses MCP servers through HTTP proxy endpoints.

Enables local browser automation using Stagehand without cloud services. Supports navigation, data extraction, and autonomous agent tasks through natural language.

A Python framework that enables secure hardware control through the Model Context Protocol, allowing AI agents and automation systems to interact with physical devices across multiple platforms.

Enables LLM clients to work with Vantage to inspect and modify scene state, open/save files, probe object properties, and run VScript payloads.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.