"Retrieve Page Information from a Specific URL" matching MCP servers:

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

Provides structured visual analysis tools for coding agents, enabling UI analysis, screenshot comparison, OCR, and crop-based refinement through VLM.

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.

Enables coding agents to search and retrieve persistent repository memory created by Cliper, providing context, gaps, architecture, and timeline information via MCP tools.

Give your AI agent its own cloud computer: create and drive hosted plori agents over MCP (invoke agents, read replies, human-in-the-loop, scheduled runs). This repo is the integration front door and ships the npx plori-mcp stdio bridge to the hosted endpoint.

An MCP server that allows coding agents to look up contextual rules and patterns on demand, providing just-in-time guidance for specific tasks like writing tests or authoring UI.

Delegates heavy development tasks from a supervisor to an autonomous worker on a cheaper model via MCP, with isolated git worktrees and provider-agnostic support.

Rewrites coding prompts for optimal results with AI IDEs like Cursor by using Claude to add structure, context, and language-specific considerations to user prompts.

Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.

Allows Claude Code to offload AI coding tasks to Aider, reducing costs and enabling more control over which models handle specific coding tasks.

Frontend Design Loop MCP enables coding agents to improve web page designs through screenshot-grounded iteration and proof artifacts, making pages materially better.

Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.

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

MCP server that lets Claude, ChatGPT, or VS Code build a complete, machine-checked model of your domain and generate an app from it.

Enables starting and monitoring shared multiplayer sessions for agentic coding terminals, allowing agents to host wrapped commands and retrieve session status via WebSocket.

Provides AI coding agents with access to CleanSlice architecture documentation, rules, and conventions. It enables users to search documentation and retrieve essential patterns to help AI build applications correctly.

A coordination layer for coding agents that provides identities, message threading, and searchable history. It features file reservation leases to prevent agents from overwriting each other's work in multi-agent environments.

Provides a find_solution tool that retrieves verified, compressed coding solutions from a curated library and injects them into AI coding agents like Claude Code and Cursor via MCP, improving problem-solving success rates by up to 50%.

Provides a file-based, git-friendly memory store for coding agents to persist and recall project-specific lessons, bugs, and conventions via JSON files in the repository.

Enables coding agents like Cursor to access Figma design data, fetch layout and styling information, and implement designs in any framework.