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codex-bridge-mcp

License: MIT Python 3.11+ MCP Protocol

Bridge between Claude Code and OpenAI Codex CLI — search, read, and reference your Codex session history from any MCP client.

You: "Read my Codex session about the auth refactor and continue where it left off"

Claude Code: [calls codex_read_session] -> reads full Codex conversation -> continues the work

The Problem

If you use both Claude Code and Codex CLI, your work is split across two disconnected histories. Neither agent knows what the other did. You end up copy-pasting context between them, or worse, re-explaining everything from scratch.

The Solution

This MCP server gives any MCP client (Claude Code, Cursor, Windsurf, etc.) read access to your local Codex session history. No API keys needed — everything is local.

┌─────────────┐     MCP (stdio)     ┌──────────────────┐     read-only     ┌─────────────┐
│ Claude Code  │ ◄────────────────► │ codex-bridge-mcp │ ◄──────────────► │ ~/.codex/    │
│ Cursor       │                    │                  │                   │  state.sqlite│
│ Windsurf     │                    │  list sessions   │                   │  sessions/   │
│ any MCP      │                    │  read sessions   │                   │  *.jsonl     │
│  client      │                    │                  │                   │              │
└─────────────┘                     └──────────────────┘                   └─────────────┘

Tools

Tool Description
codex_list_sessions Search & list Codex sessions by keyword, with model/timestamp/title metadata
codex_read_session Read a full conversation (user messages, agent responses, tool calls) by session ID

Example Output

Listing sessions

> "List Codex sessions about authentication"

Found 3 session(s):

  019d6cdb-40ca-7d52-82e3-b13af6c88301
    2026-04-08 17:46:43  |  model=gpt-5.4  |  Review the auth middleware for compliance issues...
  019d5437-4891-7052-a803-ccdfd2554a81
    2026-04-03 16:40:30  |  model=gpt-5.4  |  Refactor OAuth token handling to use rotating keys...
  019c364a-fa80-7b92-9bfc-c3e7cb1031ed
    2026-03-15 09:22:11  |  model=gpt-4.1  |  Add session-based auth to the API gateway...

Reading a session

> "Read Codex session 019d6cdb-40ca-7d52-82e3-b13af6c88301"

Session: 019d6cdb-40ca-7d52-82e3-b13af6c88301
Title: Review the auth middleware for compliance issues
Model: gpt-5.4
CWD: /home/user/projects/my-app
Messages: 12
================================================================================

[2026-04-08T11:30:07] USER:
Review the auth middleware for compliance issues with token storage...

[2026-04-08T11:30:45] CODEX:
I've reviewed the middleware. Here are the key findings...

[2026-04-08T11:31:02] TOOL [shell_command]: rg -n "session.*token" src/auth/
...

Quick Start

Prerequisites

  • Python 3.11+
  • OpenAI Codex CLI installed with at least one session in ~/.codex/

Install in Claude Code

One-liner (no clone needed):

claude mcp add --transport stdio --scope user codex-bridge -- \
  uvx --from "mcp[cli]" mcp run /path/to/server.py

With a dedicated venv:

git clone https://github.com/Urus1201/codex-bridge-mcp.git
cd codex-bridge-mcp
uv venv && uv pip install "mcp[cli]>=1.9.0"

# Linux/macOS
claude mcp add --transport stdio --scope user codex-bridge -- \
  "$(pwd)/.venv/bin/python" "$(pwd)/server.py"

# Windows (Git Bash)
claude mcp add --transport stdio --scope user codex-bridge -- \
  "$(cygpath -w .venv/Scripts/python.exe)" "$(cygpath -w server.py)"

Install in .mcp.json (Claude Desktop, Cursor, etc.)

{
  "mcpServers": {
    "codex-bridge": {
      "type": "stdio",
      "command": "uv",
      "args": [
        "run", "--with", "mcp[cli]",
        "python", "/absolute/path/to/codex-bridge-mcp/server.py"
      ]
    }
  }
}
Windows paths
{
  "mcpServers": {
    "codex-bridge": {
      "type": "stdio",
      "command": "C:\\path\\to\\.venv\\Scripts\\python.exe",
      "args": ["C:\\path\\to\\codex-bridge-mcp\\server.py"]
    }
  }
}

Recommended: Pair with native Codex MCP server

This server handles reading history. For live chat with Codex (including multi-turn conversations), also add the native Codex MCP server:

claude mcp add --transport stdio --scope user codex -- codex mcp-server

This gives you the full bridge:

Server Tools Use for
codex-bridge codex_list_sessions, codex_read_session Searching & reading past sessions
codex (native) codex, codex-reply Live chat with Codex, multi-turn by thread ID

Configuration

Environment Variable Default Description
CODEX_HOME ~/.codex Path to the Codex data directory

How it works

Codex CLI stores all session data locally:

  • ~/.codex/state_5.sqlite — thread metadata (ID, title, model, timestamps, working directory)
  • ~/.codex/sessions/YYYY/MM/DD/*.jsonl — full conversation logs in JSONL format

This server reads both (read-only, never writes) to reconstruct conversations. It handles two Codex event formats:

  1. event_msg/agent_message — standard interactive responses
  2. response_item/agent_message — exec/batch session format

No data leaves your machine. No API keys required. Everything is local.

Origin Story

This project was born from a real collaboration session between Claude Code (Opus 4.6) and Codex CLI (GPT-5) — two AI agents that needed to read each other's work. The first version was hacked together in one evening to solve a concrete problem: Claude Code couldn't access a lengthy Codex conversation from earlier in the day, and copy-pasting wasn't going to cut it.

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

License

MIT

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MCP server that gives Claude Code (and any MCP client) read access to OpenAI Codex CLI session history

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