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io.github.x51xxx/codex-mcp-tool MCP Server

io.github.x51xxx/codex-mcp-tool

Bridge Claude/Cursor to OpenAI Codex CLI for code analysis, review, and AI-assisted refactoring.

What is the io.github.x51xxx/codex-mcp-tool MCP server?

The Codex MCP Server connects Claude and Cursor to OpenAI's Codex CLI, enabling code analysis, multi-turn conversations, and structured code changes. It supports file references, sandbox mode, web search, local OSS models, and creative brainstorming frameworks.

This server exposes Codex CLI capabilities to AI assistants, letting you analyze code with `@file` syntax, maintain conversation context across sessions, run code in a sandbox, generate or edit images, and perform structured code reviews. Use it for code analysis, refactoring, brainstorming, and automated code fixes with safety controls.

How to install io.github.x51xxx/codex-mcp-tool

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • CODEX_MCP_CWD

    Override working directory for all tool calls

  • CODEX_SESSION_TTL_MS

    Session time-to-live in milliseconds (default: 86400000 = 24h)

  • CODEX_MAX_SESSIONS

    Maximum concurrent sessions (default: 50)

~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "codex-mcp-tool": {
      "command": "npx",
      "args": [
        "-y",
        "@trishchuk/codex-mcp-tool"
      ],
      "env": {
        "CODEX_MCP_CWD": "<YOUR_CODEX_MCP_CWD>",
        "CODEX_SESSION_TTL_MS": "<YOUR_CODEX_SESSION_TTL_MS>",
        "CODEX_MAX_SESSIONS": "<YOUR_CODEX_MAX_SESSIONS>"
      }
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • ask-codex — Execute Codex CLI with files, models, sessions, and safety controls
  • batch-codex — Run multiple atomic Codex tasks sequentially or concurrently
  • review-changes — Run the native non-interactive Codex review command
  • do-act — Execute, verify with a shell command, and retry fixes
  • image-gen — Generate or edit images with Codex's built-in image_gen tool
  • brainstorm — Generate ideas with structured creative frameworks (SCAMPER, design-thinking, lateral thinking)
  • list-sessions — View, delete, or clear MCP conversation mappings
  • list-skills — List skills visible from the selected workspace
  • health — Diagnose CLI installation, version, features, and sessions
  • fetch-chunk — Retrieve a chunk from cached change-mode output
  • ping — Test the MCP connection
  • help — Return current codex --help output
  • version — Report Codex CLI, Node.js, platform, and package versions
  • timeout-test — Exercise keepalive and timeout behavior

Use cases

  • Analyze code architecture and dependencies by referencing files with `@src/` syntax
  • Maintain multi-turn conversations with Codex for iterative code improvements and context preservation
  • Generate or edit images with structured prompts and reference images using the image-gen tool
  • Perform structured code reviews and refactoring with OLD/NEW patch output in change mode
  • Run creative brainstorming sessions using SCAMPER and design-thinking frameworks
  • Execute code in a sandbox with approval policies for safe automation

io.github.x51xxx/codex-mcp-tool MCP server FAQ

What is the Codex MCP Server?

It's an MCP server that bridges Claude/Cursor to OpenAI's Codex CLI, enabling code analysis, multi-turn conversations, sandbox execution, image generation, and structured code reviews.

Is it free to use?

The server itself is MIT-licensed and free. It requires Codex CLI (which uses OpenAI's API) and a valid OpenAI authentication.

How do I install it in Claude or Cursor?

Run `claude mcp add codex-cli -- npx -y @trishchuk/codex-mcp-tool` or add it to your claude_desktop_config.json. Requires Node.js 18+ and Codex CLI installed.

What authentication is required?

You need Codex CLI installed and authenticated with OpenAI. Run `codex login` to set up credentials. For image generation, it uses your ChatGPT login.

Can I use local models instead of OpenAI?

Yes, v1.6.0+ supports local OSS models via Ollama or LM Studio. Use `localProvider: "ollama"` or `localProvider: "lmstudio"` with a compatible model.

What Codex CLI version is required?

Codex CLI 0.95.0 or newer is required. The server will fail with an upgrade message on older versions. Check your version with `codex --version`.

README (reference)

Source of truth, from the repository.

Codex MCP Server

<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 automation with explicit sandbox and approval policies
  • 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-5.6-sol 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

ToolDescription
ask-codexExecute Codex CLI with files, models, sessions, and safety controls
batch-codexRun multiple atomic Codex tasks sequentially or concurrently
review-changesRun the native non-interactive Codex review command
do-actExecute, verify with a shell command, and retry fixes
image-genGenerate or edit images with Codex's built-in image_gen tool
brainstormGenerate ideas with structured creative frameworks
list-sessionsView, delete, or clear MCP conversation mappings
list-skillsList skills visible from the selected workspace
healthDiagnose CLI installation, version, features, and sessions
fetch-chunkRetrieve a chunk from cached change-mode output
pingTest the MCP connection
helpReturn current codex --help output
versionReport Codex CLI, Node.js, platform, and package versions
timeout-testExercise keepalive and timeout behavior

Image generation

image-gen drives Codex's built-in image_gen tool, so it uses your ChatGPT login and needs no OPENAI_API_KEY. That tool only accepts a prompt and reference image paths: Codex picks the image model and pixel size, and there are no size, quality, format or mask arguments. image-gen therefore puts all steering into a structured prompt (use case, asset type, style, composition, exact text, reference roles, edit invariants, aspect ratio, presets) and tells the Codex host model to relay it instead of improvising.

// New image, 16:9, exact Cyrillic headline, copied into the project
'image-gen prompt:"YouTube cover about AI coding agents" aspect:"wide" text:"АГЕНТИ БЕЗ ХАОСУ" presets:["thumbnail","exact-text"] outputPath:"assets/cover.png"';

// Edit: change only the headline, keep everything else
'image-gen editImage:"assets/cover.png" prompt:"Replace the headline text" text:"ЧАСТИНА 2" preserve:["people and background"] outputPath:"assets/cover.png"';

Images are saved by Codex under $CODEX_HOME/generated_images/<thread>/ and copied to outputPath when given; an existing file is kept and the copy is written as a -v2 sibling unless overwrite: true. The result reports each file's dimensions and alpha channel, so a transparentBackground request that came back opaque is flagged.

Models

By default the model parameter is omitted and Codex CLI applies the default model from your ~/.codex/config.toml (for example model = "gpt-6.1-sol"). Pass model only when you need to override the configured default for a single call. Reasoning depth is calibrated per tool:

  • ask-codex — uses the Codex CLI default reasoning (medium). Increase it only when the task needs more planning or checking.
  • brainstorm, do-act, review-changes — default reasoningEffort: "high" (creative ideation, act-check-fix loops, and code review benefit from deeper reasoning).
ModelRecommendation
gpt-6.1-solLatest workhorse for coding and everyday work (CLI 0.159+)
gpt-6-astraFrontier intelligence for the most demanding work
gpt-6-solPrevious-generation workhorse
gpt-6-lunaFast and affordable; easier, repeatable tasks
gpt-5.6-solOlder-generation workhorse
gpt-5.6-terraOlder balanced model for straightforward work
gpt-5.6-lunaOlder fast, efficient model
gpt-5.5Legacy — Codex steers callers to gpt-5.6-sol

Sol, Astra and Terra models expose max and ultra reasoning; Luna models top out at max, and gpt-5.5 at xhigh. ultra may delegate work to subagents; most tasks should remain on medium or high. Pass a concrete slug — the bare moving aliases gpt-6 and gpt-5.6 are rejected by the API. gpt-6.1-sol is rejected by Codex CLI 0.157.x with the same 400 an unknown slug gets; upgrade with npm install -g @openai/codex@latest.

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)

Codex CLI version

Requires Codex CLI 0.95.0 or newer. On older versions the server fails with an explicit upgrade message rather than silently dropping unsupported flags. Upgrade with npm install -g @openai/codex@latest; run the health tool to see the detected version.

Troubleshooting: "codex not found"

MCP clients launched from a GUI (Dock, Finder, Start menu) inherit a minimal PATH that excludes Homebrew, nvm, and volta directories, so codex may work from a terminal but not from the app. The server searches those locations automatically; if it still cannot find the CLI, pin it explicitly:

{ "env": { "CODEX_CLI_PATH": "/opt/homebrew/bin/codex" } }

Find the value with which codex. Run the health tool to see which executable was resolved and how.

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

ParameterDescription
modelModel selection
sessionIdEnable conversation continuity
sandboxCompatibility automation: workspace-write + never
searchEnable web search
changeModeStructured OLD/NEW edits
addDirsAdditional writable directories
toolOutputTokenLimitCap response verbosity (100-10,000)
reasoningEffortlow, medium, high, xhigh, max, ultra
ossUse local OSS model provider
localProviderLocal provider: lmstudio or ollama
strictConfigFail on unknown Codex configuration keys
ephemeralDo not persist Codex session files
ignoreUserConfigIgnore $CODEX_HOME/config.toml
ignoreRulesIgnore execpolicy .rules files

CLI Compatibility

Validated against Codex CLI 0.144.3. The server keeps older feature guards, but current releases are recommended. Notable current behavior:

  • --full-auto and approval policy on-failure have been removed by Codex CLI.
  • MCP sandbox: true / fullAuto: true remain compatibility aliases for --sandbox workspace-write --ask-for-approval never; they do not bypass the sandbox.
  • Native --search is used without the deprecated web_search_request feature.
  • Current exec flags include --strict-config, --ephemeral, --ignore-user-config, and --ignore-rules.

Troubleshooting

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

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

Migration

v2.5.x → v2.6.0: Codex CLI 0.159.2 model sync and a new image-gen tool. Added gpt-6.1-sol (needs Codex CLI 0.159+), gpt-6-sol and gpt-6-luna. Breaking: dropped gpt-5.4-mini, which now returns HTTP 400.

v2.4.x → v2.5.0: Codex CLI 0.153.4 compatibility pass; added gpt-6-astra. Breaking: dropped gpt-5.4 and the moving alias gpt-5.6 (both now rejected with HTTP 400), and removed the untrusted approval policy, which Codex CLI 0.153.x no longer parses.

v2.3.x → v2.4.0: Codex CLI 0.144.3 compatibility audit; added GPT-5.6 Sol/Terra/Luna, max/ultra reasoning, current exec flags, native-only search, and safe compatibility handling for the removed --full-auto flag and on-failure approval policy.

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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