"A server for connecting and sharing screens" matching MCP servers:

A local MCP server that lets Hermes supervise Claude Code, delegating focused coding, research, or review tasks to the Claude Code CLI and managing worker sessions, background jobs, cancellations, and read-only reviews.

Lets a coding agent hand a plain-language app idea to a hosted AI software team that shapes, designs, builds, tests and deploys it, returning a one-time link into the full build workspace. Also lists your apps with their stage, pending approvals and live addresses after a standard OAuth sign-in.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

Bridges Claude Code CLI with Cursor IDE to use your existing Claude subscription without separate API costs.

Enable Claude (or any other LLM) to interactively debug your code (set breakpoints and evaluate expressions in stack frame). It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode.

Enables AI coding agents to read and write a user's Figma file through the Figma Plugin API, offline and privately, without API tokens or rate limits.

The most advanced MCP server for Godot Editor that lets AI assistants operate directly inside your running Godot project for scene creation, script generation, UI authoring, and more.

Enables Sublime Text to integrate with Claude Code via the IDE protocol, providing in-editor diff review, selection context sharing, and @-mentions through a local WebSocket/MCP server.

Enables Windows users to connect Antigravity CLI as an MCP subagent for coding tasks such as file reading, code execution, edits, and terminal commands, with model selection, conversation continuity, and streaming progress.

Enables MCP clients to run Cline CLI prompts and isolated repository-wide analyses, returning terminal text responses with model, duration, and usage/cost.

Provides 23 modular tools for competitive programming, including problem analysis, algorithm planning, code generation, verification, testing, code review, and learning assistance.

A policy layer between ChatGPT and the official Codex MCP server, adding safety controls like read-only sessions, approval policies, and secret scanning for secure daily use.

An MCP server that enhances Claude Code with evidence-first engineering, protocol gates, project-aware verification, auditable traces, and durable autonomous execution.

Enables Claude to hand scoped, implementation-only coding tasks to any model available in a local opencode install — including Kimi, GPT, Gemini and local models — and to run many of them in parallel. Claude stays the orchestrator: it briefs each worker, collects results and needs-flags, then reviews diffs and runs tests, lint and builds itself.

dev-brain-mcp

Enables Codex to start the local DeepSeek Harness Web UI, delegate coding tasks into visible sessions, and review workspace changes.

Provides token-efficient code retrieval for coding agents by indexing repositories and enabling ranked snippet search, symbol outlines, and surgical line reads.

An authenticated OpenAI-compatible inference gateway with an async job broker that bridges a coding agent to a ChatGPT MCP worker, enabling ChatGPT to process inference requests via a tunnel.

Connects AI coding agents to a shared knowledge base by allowing them to search, retrieve, and contribute coding traces. It acts as a protocol adapter for the CommonTrace API, facilitating collaborative knowledge sharing through natural language queries and tool-based interactions.

Enables ChatGPT Developer Mode to operate as a local coding agent by connecting to your own repository through MCP, allowing it to read, write, search, edit files, run safe verification commands, and manage handoff context for continued work.

Enables zero-cost autonomous coding and dual-agent verification by connecting AI IDEs to DeepSeek Harness and local or free model backends.

Enables Claude Code to access and operate an IBM z/OS mainframe via TN3270, including reading screens, browsing datasets, editing code, submitting jobs, and running regression tests through natural language.

MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.

STOP UI SLOP. Gives coding agents searchable evidence from 800,000+ real web and iOS screens, design contracts, and a hard UI finish gate.

Enables Claude Code to research design references per page section across galleries like Awwwards, Dribbble and Mobbin, render the user's page in multiple style directions with live 3D components, and collect votes on a local board. It then produces a PDF report and iteratively builds and refines the actual page, dashboard prototype or mobile screens from that feedback.

MCP server for managing an autonomous dev loop from chat—onboarding, connecting GitHub, and converting plain-English requests into tested, merged pull requests.

Enables any MCP-compatible client to run reusable, Markdown-defined coding agents—such as reviewers, test writers, or investigators—by executing them through a chosen coding CLI backend and returning the results to the same conversation. Supports sharing agent definitions across clients, centralized backend and model configuration, and continued sessions across multiple calls.

Enables AI clients to coordinate coding agents on the user’s own computers and servers over MCP, connecting to Herdr, Codex app-server, and experimental ZCode/Amp connectors through a self-hosted relay without inbound ports.

Enables running reusable Markdown-defined coding agents through any MCP-compatible client by delegating tasks to a chosen coding CLI and returning results to the same conversation. Supports sharing agent definitions across clients, continuing sessions across calls, and configuring backend, model, and permission settings.

A Rust + Tauri 2 desktop application that turns local project folders into persistent MCP workspaces, enabling AI agents to read files, modify code, run commands and tests, check Git status, and maintain cross-conversation development context through historical checkpoints, with built-in WSS/FRP/Cloudflare tunnels and OAuth for connecting to ChatGPT.

Enables coding agents to ground UI work in real product screens by returning inline reference screenshots, recorded design-system details (colors, typography, components, provenance), and licensed font or icon materials for unresolved visual questions. It also serves bundled design-skill documents, command prompts, and connection diagnostics through a token-free local adapter.

Read, inspect and navigate codebase symbols by connecting to a Language Server

A server that enables Cursor AI to generate code from Figma components by connecting to Figma's MCP Dev Server.

A local-first MCP server for coordinating parallel AI coding sessions with tools like Claude Code and Codex in a single repository.

A Spec-Driven Development toolkit that transforms LLMs into development agents by providing expert-crafted prompts for generating structured specifications and validating documents across the Requirements → Design → Tasks → Code workflow.

It enables a primary AI assistant to delegate tasks in parallel to specialized sub-agent CLIs like Gemini, Claude, Codex, and Cursor from a single IDE prompt, sharing context and synthesizing their responses. This lets users solve complex engineering problems without manually copy-pasting between AI tools.

Enables a primary AI coding assistant to delegate tasks in parallel to specialized CLI-based agents such as Gemini, Claude, Codex, and Cursor, sharing the same project context across all of them. It then aggregates and synthesizes their outputs into a single response, using existing local tools and subscriptions with no extra configuration.

A code understanding and generation system designed for Galacean Engine that helps LLMs comprehend the engine architecture and generate high-quality engine code based on user intent.

Enables a primary AI assistant to delegate tasks to multiple specialized AI coding assistants in parallel from a single prompt, sharing project context and synthesizing their responses.

Enables a primary AI assistant to delegate tasks in parallel to specialized coding models like Gemini, Claude, Codex, and Cursor, sharing project context and synthesizing their results through a single interface.