Codex Mcp Server

by x51xxx

23 814 downloads Not rated yet MIT

About

# Codex MCP Server <div align="center"> [![GitHub Release](https://img.shields.io/github/v/release/x51xxx/codex-mcp-tool?logo=github&label=GitHub)](https://github.com/x51xxx/codex-mcp-tool/releases) [![npm…

Details

License
MIT

Explore

- 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

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Codex Mcp Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

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

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

// 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/"';

ask-codex

Execute Codex CLI with file analysis (@syntax), skills ($syntax), model selection, and safety controls. Supports changeMode.

batch-codex

Delegate multiple atomic tasks to Codex for batch processing. Ideal for repetitive operations, mass refactoring, and automated code transformations

review-changes

Run a code review against the current repository using Codex CLI native review subcommand

ping

Echo

help

receive help information

version

Display version and system information

brainstorm

Generate creative ideas using structured frameworks with domain context and feasibility analysis.

fetch-chunk

Retrieves cached chunks from a changeMode response. Use this to get subsequent chunks after receiving a partial changeMode response.

timeout-test

Test timeout prevention by running for a specified duration

list-sessions

List all active conversation sessions with metadata, or manage sessions

health

Check Codex CLI and session health status

list-skills

Discover available Codex skills from .agents/skills/ directory

do-act

Execute task via Codex, verify with shell command, auto-fix on failure. Act-Check-Fix loop.

| 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 |

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

<div align="center">

GitHub Release
npm version
npm downloads
License: MIT

</div>

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

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