"OpenAI's Web Retrieval Infrastructure" matching MCP servers:

Enables a browser-based AI assistant to read code, edit files, run tests, inspect failures, and keep task checkpoints on a local project.

Enables local code execution via Codex (Luna) through MCP, using ChatGPT Web conversations as a planner. Provides file, terminal, and code execution tools while keeping long-running jobs manageable.

A comprehensive implementation of Model Context Protocol servers enabling natural language interactions with security platforms including Splunk SIEM, CrowdStrike EDR, and Microsoft MISP for threat intelligence querying and analysis.

A server that enables browser-based local LLM inference using Playwright to automate interactions with @mlc-ai/web-llm, supporting text generation, chat sessions, model switching, and status monitoring.

A self-hosted OAuth MCP server that connects ChatGPT developer mode to an isolated coding workspace for listing and opening projects, reading and editing files, running shell commands, and observing or acting on terminal sessions.

Connects to SolidWorks 2022 over COM to run, test, and auto-fix VBA macros, returning structured diagnostics for iterative correction by Claude.

Enables AI assistants to securely inspect, search, edit, build, and test explicitly authorized local development projects over MCP, with sandboxed filesystem access and sensitive-file protection.

Enables AI coding assistants to interact with OpenAI's Codex AI through the official CLI. Provides direct integration for code analysis, file review, and batch processing with zero API costs.

Wraps OpenAI's Codex CLI with true parallel task execution, worktree isolation for conflict-free runs, and live monitoring of each task.

Enables Claude Code to delegate tasks to OpenAI's Codex CLI (GPT-5.4) with structured execution traces, parallel execution, session persistence, and adversarial code review.

A comprehensive learning project demonstrating MCP server implementation with tools for calculator operations, file management, and system information retrieval, including Google ADK integration patterns and best practices.

A server that enables retrieval of Sentry issues through two simple tools - get a specific issue by URL/ID or get a list of issues from a project.

A lightweight bridge that wraps OpenAI's built-in tools (like web search and code interpreter) as Model Context Protocol servers, enabling their use with Claude and other MCP-compatible models.

Enables code execution and compilation through the Judge0 CE API, supporting multiple programming languages with submission management, status checking, and language configuration retrieval.

An MCP server that enables AI platforms to interact with YepCode's infrastructure, allowing LLM-generated scripts to run on YepCode and turning YepCode processes into powerful tools that AI assistants can use directly.

AI-powered command execution and tool plugin framework with secure Python evaluation, knowledge management, and web dashboards.

A feature-rich LeetCode MCP server that enables problem search, user data retrieval, code execution, and notes management for both leetcode.com and leetcode.cn.

A project that integrates Model Control Protocol with OpenAI's API, allowing OpenAI to access and utilize tools exposed by a dockerized MCP server.

Provides AI-driven development tools including file system operations, multi-language code analysis with tree-sitter, Git operations, code execution, and system information retrieval.

An intelligent codebase processing server that provides agentic RAG capabilities for code repositories, enabling semantic search and contextual understanding through self-evaluating retrieval loops.