A curated list of MCP servers and context tools that work well with Codex-style coding workflows.
Use this collection when you want Codex to see more of your project, automate browser checks, inspect docs, or work with external systems.
Run large language models locally with a simple CLI. Supports Llama, Mistral, Gemma, and 100+ models with one command.
Strong fit for Codex MCP/context workflows.
Official MCP reference servers from Anthropic. Includes servers for filesystem, GitHub, Postgres, Slack, and more.
Strong fit for Codex MCP/context workflows.
Anthropic's official CLI agent for coding. Claude-powered terminal agent that reads, writes, and refactors entire codebases.
Strong fit for Codex MCP/context workflows.
Adversarial AI bug hunter with auto-fix skill for Claude Code, Cursor, Codex CLI, GitHub Copilot CLI, Kiro CLI, Opencode, Pi Coding Agent, and more. Multi-agent pipeline finds security vulnerabilities, logic errors, and runtime bugs — then fixes them autonomously on a safe branch.
Strong fit for Codex MCP/context workflows.
Browser automation CLI built for AI agents — breaks anti-bot walls, supports multi-session parallel execution.
Strong fit for Codex MCP/context workflows.
Universal memory layer for AI agents that enables personalized, context-aware interactions.
Strong fit for Codex MCP/context workflows.
User-friendly AI interface that supports Ollama, OpenAI, and any OpenAI-compatible API. Self-hosted ChatGPT alternative.
Strong fit for Codex MCP/context workflows.
An open-source, extensible AI agent that goes beyond code suggestions to install, execute, edit, and test with any LLM.
Strong fit for Codex MCP/context workflows.
Build stateful, multi-actor AI agents with graph-based workflows. From LangChain, the most popular LLM framework.
Strong fit for Codex MCP/context workflows.
Local GitHub Actions runner for AI agents — test CI/CD workflows locally before pushing.
Strong fit for Codex MCP/context workflows.
Query anything (GitHub, Notion, Google Sheets, +40 services) with SQL and connect LLMs via MCP.
Strong fit for Codex MCP/context workflows.
Open-source LLM app development platform. Build AI workflows, RAG pipelines, and agents with a visual interface.
Strong fit for Codex MCP/context workflows.