Codex MCP Server

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

Features

File Analysis — Reference files with @src/, @package.json syntax
Multi-Turn Sessions — Conversation continuity with workspace isolation
Native Resume — Uses codex resume for context preservation (CLI v0.36.0+)
Local OSS Models — Run with Ollama or LM Studio via localProvider
Web Search — Research capabilities with search: true
Sandbox Mode — Safe code execution with --full-auto
Change Mode — Structured OLD/NEW patch output for refactoring
Brainstorming — SCAMPER, design-thinking, lateral thinking frameworks
Health Diagnostics — CLI version, features, and session monitoring
Cross-Platform — Windows, macOS, Linux fully supported

Quick Start

claude mcp add codex-cli -- npx -y @trishchuk/codex-mcp-tool

Prerequisites: Node.js 18+, Codex CLI installed and authenticated.

Configuration

{
  "mcpServers": {
    "codex-cli": {
      "command": "npx",
      "args": ["-y", "@trishchuk/codex-mcp-tool"]
    }
  }
}

Config locations: macOS: ~/Library/Application Support/Claude/claude_desktop_config.json | Windows: %APPDATA%\Claude\claude_desktop_config.json

Usage Examples

// File analysis
'explain the architecture of @src/';
'analyze @package.json and list dependencies';

// With specific model
'use codex with model gpt-5.5 to analyze @algorithm.py';

// Multi-turn conversations (v1.4.0+)
'ask codex sessionId:"my-project" prompt:"explain @src/"';
'ask codex sessionId:"my-project" prompt:"now add error handling"';

// Brainstorming
'brainstorm ways to optimize CI/CD using SCAMPER method';

// Sandbox mode
'use codex sandbox:true to create and run a Python script';

// Web search
'ask codex search:true prompt:"latest TypeScript 5.7 features"';

// Local OSS model (Ollama)
'ask codex localProvider:"ollama" model:"qwen3:8b" prompt:"explain @src/"';

Tools

Tool	Description
`ask-codex`	Execute Codex CLI with file analysis, models, sessions
`brainstorm`	Generate ideas with SCAMPER, design-thinking, etc.
`list-sessions`	View/delete/clear conversation sessions
`health`	Diagnose CLI installation, version, features
`ping` / `help`	Test connection, show CLI help

Models

By default the model parameter is omitted and Codex CLI applies the
default model from your ~/.codex/config.toml (e.g. model = "gpt-5.5").
Pass model only when you need to override the configured default for a
single call. Reasoning depth is calibrated per tool:

ask-codex — uses Codex CLI default reasoning (medium). Pass reasoningEffort: "high" / "xhigh" for harder tasks.
brainstorm, do-act, review-changes — default reasoningEffort: "high" (creative ideation, act-check-fix loops, and code review benefit from deeper reasoning).

Model	Use Case
`gpt-5.5`	Frontier model for complex coding, research, agentic work
`gpt-5.4`	Strong model for everyday coding
`gpt-5.4-mini`	Small, fast, cost-efficient for simpler coding tasks
`gpt-5.3-codex`	Coding-optimized model
`gpt-5.2`	Optimized for professional work and long-running agents

Key Features

Session Management (v1.4.0+)

Multi-turn conversations with workspace isolation:

{ "prompt": "analyze code", "sessionId": "my-session" }
{ "prompt": "continue from here", "sessionId": "my-session" }
{ "prompt": "start fresh", "sessionId": "my-session", "resetSession": true }

Environment:

CODEX_SESSION_TTL_MS - Session TTL (default: 24h)
CODEX_MAX_SESSIONS - Max sessions (default: 50)

Local OSS Models (v1.6.0+)

Run with local Ollama or LM Studio instead of OpenAI:

// Ollama
{ "prompt": "analyze @src/", "localProvider": "ollama", "model": "qwen3:8b" }

// LM Studio
{ "prompt": "analyze @src/", "localProvider": "lmstudio", "model": "my-model" }

// Auto-select provider
{ "prompt": "analyze @src/", "oss": true }

Requirements: Ollama running locally with a model that supports tool calling (e.g. qwen3:8b).

Advanced Options

Parameter	Description
`model`	Model selection
`sessionId`	Enable conversation continuity
`sandbox`	Enable `--full-auto` mode
`search`	Enable web search
`changeMode`	Structured OLD/NEW edits
`addDirs`	Additional writable directories
`toolOutputTokenLimit`	Cap response verbosity (100-10,000)
`reasoningEffort`	Reasoning depth: low, medium, high, xhigh
`oss`	Use local OSS model provider
`localProvider`	Local provider: `lmstudio` or `ollama`

CLI Compatibility

Version	Features
v0.60.0+	GPT-5.2 model family
v0.59.0+	`--add-dir`, token limits
v0.52.0+	Native `--search` flag
v0.36.0+	Native `codex resume` (sessions)

Troubleshooting

codex --version    # Check CLI version
codex login        # Authenticate

Use health tool for diagnostics: 'use health verbose:true'

Migration

v2.2.x → v2.3.0: gpt-5.5 as new default, added gpt-5.4-mini, dropped retired models (gpt-5.3-codex-spark, gpt-5.2-codex, gpt-5.1-codex-max, gpt-5.1-codex-mini).

v2.0.x → v2.1.0: gpt-5.4 as new default model, updated fallback chain.

v1.5.x → v1.6.0: Local OSS model support (localProvider, oss), gpt-5.3-codex default model, xhigh reasoning effort.

v1.3.x → v1.4.0: New sessionId parameter, list-sessions/health tools, structured error handling. No breaking changes.

License

MIT License. Not affiliated with OpenAI.

Documentation | Issues | Inspired by jamubc/gemini-mcp-tool