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hampsterx

codex-mcp-bridge

by hampsterx

codex-mcp-bridge

npm version npm downloads CI License: MIT Node.js TypeScript MCP

MCP server that wraps Codex CLI as a subprocess, exposing code execution, web search, and structured output as Model Context Protocol tools.

Works with any MCP client: Claude Code, Gemini CLI, Cursor, Windsurf, VS Code, or any tool that speaks MCP.

Do you need this?

If you're in a terminal agent (Claude Code, Codex CLI, Gemini CLI) with shell access, call Codex CLI directly. It's faster, cheaper, and zero overhead:

# Review current branch vs main
codex review --base main

# Review uncommitted changes
codex review --uncommitted

# Review with custom focus
codex review --base main "Focus on security and error handling"

# From a worktree (run inside the worktree; `-C` is broken for `review`)
cd /path/to/worktree && codex review --base main

# General analysis
codex exec "Analyze src/utils/parse.ts for edge cases"

Use this MCP bridge instead when:

  • Your client has no shell access (Cursor, Windsurf, Claude Desktop, VS Code)

  • You need structured output with JSON Schema validation (Codex CLI's --json has known bugs)

  • You need partial response capture on timeout and automatic model fallback on quota exhaustion

  • You want subprocess isolation: explicit env allowlist, no shell escape, secret redaction on output, FIFO-queued concurrency (max 3 parallel spawns, configurable via CODEX_MAX_CONCURRENT)

  • You need multi-turn conversations via session resume (sessionId / resetSession, inspected via listSessions)

Worktree note: Codex CLI issue #9084 breaks codex -C /path review .... Run codex review from inside the worktree to avoid it.

Related MCP server: codex-mcp-server

Quick Start

npx codex-mcp-bridge

Prerequisites

  • Codex CLI installed (npm i -g @openai/codex)

  • OPENAI_API_KEY environment variable set, or codex auth login completed

Claude Code

claude mcp add codex-bridge -- npx -y codex-mcp-bridge

Gemini CLI

Add to ~/.gemini/settings.json:

{
  "mcpServers": {
    "codex-bridge": {
      "command": "npx",
      "args": ["-y", "codex-mcp-bridge"]
    }
  }
}

Cursor / Windsurf / VS Code

Add to your MCP settings:

{
  "codex-bridge": {
    "command": "npx",
    "args": ["-y", "codex-mcp-bridge"],
    "env": {
      "OPENAI_API_KEY": "sk-..."
    }
  }
}

Tools

Tool

Description

codex

Execute prompts with file context, session resume, and sandbox control. Multi-turn conversations via session IDs. Use for free-form review prompts; see Code review with this CLI.

review

Native diff-aware Codex review via codex exec review --json. No caller prompt; supports uncommitted, base branch, and commit review modes.

search

Web search via codex --search. Returns synthesized answers with source URLs.

query

Lightweight text analysis. No repo context, no sessions. Runs in an isolated temp directory.

structured

JSON Schema validated output via Ajv. Data extraction, classification, or any task needing machine-parseable output.

ping

Health check with CLI version, capabilities, and concurrency diagnostics (activeCount, queueDepth).

listSessions

List active conversation sessions with metadata (turn count, model, timestamps).

codex

General-purpose execution. Supports multi-turn conversations via sessionId, sandbox levels (read-only, workspace-write, full-auto), and reasoning effort control. Pass resetSession: true to discard and start fresh. Use listSessions to inspect active sessions before resuming.

Key parameters: prompt (required), files, model, sessionId, sandbox, reasoningEffort, workingDirectory, timeout (default 60s).

Web search powered by OpenAI's native search infrastructure via Codex CLI's --search flag. Returns synthesized answers with source URLs.

Key parameters: query (required), model, workingDirectory, timeout (default 120s).

query

Lightweight, non-agentic text analysis. Spawns in an isolated temp directory so the bridge's repo context doesn't leak. Pass text to analyze in the context parameter. Supports reasoningEffort and maxResponseLength.

Key parameters: prompt (required), context, model, reasoningEffort, timeout (default 60s).

review

Thin wrapper around Codex CLI's native diff-aware review. The bridge passes the diff selector to codex exec review --json; upstream Codex owns the review prompt. Requires a real git repository via workingDirectory.

Key parameters: mode (required: uncommitted, base, or commit), workingDirectory (required), base (required for base mode), commit (required for commit mode), title, model, timeout (default 180s).

structured

Embeds a JSON Schema in the prompt and validates the response with Ajv. Returns clean JSON on success, validation errors on failure.

Key parameters: prompt (required), schema (required, JSON string), files, model, workingDirectory, timeout (default 60s).

ping

No parameters. Returns CLI version, auth status, model configuration, and concurrency diagnostics (activeCount, queueDepth).

All tools attach execution metadata (_meta) with durationMs, model, fallbackUsed, and session info where applicable. See DESIGN.md for details.

Code review with this CLI

This bridge does not bundle reviewer prompts. There are three paths for code review:

Native upstream codex review

codex review --base main
codex review --uncommitted
codex review --base main "Focus on security and error handling"

Diff-aware review built into Codex CLI. No bridge involvement. Use this when your client has shell access.

Bridge review tool for native diff-aware review

{
  "tool": "review",
  "arguments": {
    "mode": "base",
    "base": "main",
    "workingDirectory": "/path/to/worktree"
  }
}

The bridge runs codex exec review --json from workingDirectory, captures the final review text, and returns review metadata such as threadId, event counts, and redacted command output. It does not accept a prompt.

Bridge codex tool with caller-supplied prompt

{
  "tool": "codex",
  "arguments": {
    "prompt": "<your review prompt + diff or file references>",
    "sandbox": "read-only"
  }
}

The bridge runs codex exec --sandbox read-only with the supplied prompt and returns stdout. Use this for free-form review prompts or review inputs that are not expressible as uncommitted, base, or commit diff selectors.

Representative review prompt

A starting point; adapt freely:

Review the following diff:

<diff content>

Look for:
- Bugs that would surface in production
- Missing error handling on user-supplied input
- Tests modified to silence failures rather than verify behaviour
- Security issues (injection, missing auth checks, secret leaks)

For each finding cite file:line, severity (high/medium/low), and a suggested fix.
Skip style/formatting; assume an autoformatter handles those.

The bridge has no opinion on prompt content. See ADR-001 for the rationale.

Configuration

Variable

Default

Description

CODEX_DEFAULT_MODEL

(CLI default)

Default model for all tools

CODEX_FALLBACK_MODEL

o3

Fallback on quota exhaustion (none to disable)

CODEX_CLI_PATH

codex

Path to CLI binary

CODEX_MAX_CONCURRENT

3

Max concurrent subprocess spawns

CODEX_MCP_SERVERS

(unset)

Control which Codex internal MCP servers stay enabled. See DESIGN.md.

Choosing a Codex MCP server

You need...

Consider

Structured output, model fallback, concurrency management, session resume

This bridge

Session threading with conversationId, callback URI forwarding

@tuannvm/codex-mcp-server

Structured patch output with approval policies

cexll/codex-mcp-server

Minimal codex exec wrapper with parallel subagents

codex-as-mcp

Native Codex MCP (experimental, no wrapper needed)

codex mcp serve (docs)

Performance

Codex CLI has minimal startup overhead (<100ms), so wall time is dominated by model inference.

Scenario

Typical time

Trivial prompt

9-12s

Web search

~17s

Default timeouts (60-300s) are comfortable for typical workloads.

Bridge family

Three MCP servers, same architecture, different underlying CLIs. Each wraps a terminal agent as a subprocess and exposes it as MCP tools. Pick the one that matches your model provider, or run multiple for cross-model workflows.

codex-mcp-bridge

claude-mcp-bridge

gemini-mcp-bridge

CLI

Codex CLI

Claude Code

Gemini CLI

Provider

OpenAI

Anthropic

Google

Tools

codex, review, search, query, structured, ping, listSessions

query, review, search, structured, ping, listSessions

query, review, search, structured, ping, fetchChunk

Code review

review tool wrapping native codex exec review --json, or codex tool with caller-supplied prompt

review tool with caller-supplied prompt and hardened isolation defaults

review tool with caller-supplied prompt and hardened defaults

Structured output

Ajv validation

Native --json-schema

Ajv validation

Session resume

Session IDs with multi-turn

Native --resume

Not supported

Budget caps

Not supported

Native --max-budget-usd

Not supported

Effort control

reasoningEffort (low/medium/high)

--effort low/medium/high/max

Not supported

Cold start

<100ms (inference dominates)

~1-2s

~16s

Auth

OPENAI_API_KEY

claude login (subscription) or ANTHROPIC_API_KEY

gemini auth login

Cost

Pay-per-token

Subscription (included) or API credits

Free tier available

Concurrency

3 (configurable)

3 (configurable)

3 (configurable)

Model fallback

Auto-retry with fallback model

Auto-retry with fallback model

Auto-retry with fallback model

All three share: subprocess env isolation, path sandboxing, FIFO concurrency queue, MCP tool annotations, _meta response metadata, progress heartbeats. The codex and claude bridges also perform output redaction (secret stripping).

Development

npm install
npm run build        # Compile TypeScript
npm run dev          # Watch mode
npm test             # Run tests
npm run lint         # ESLint
npm run typecheck    # tsc --noEmit

Further reading

  • DESIGN.md - Architecture, MCP server control grammar, sessions, output parsing, response metadata

  • SECURITY.md - Environment isolation, path sandboxing, output redaction, resource limits

  • CHANGELOG.md - Release history

License

MIT

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quality
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Maintenance

Maintainers
Response time
1wRelease cycle
11Releases (12mo)
Commit activity

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