# claude-codex-mcp-bridge

> claude-codex-mcp-bridge — webisitystudio-claude-codex-mcp-bridge. Use this tool when you need to integrate Claude Code and OpenAI Codex, or require a reliable bridge for orchestrating and resuming Codex sessions. It solves problems of compatibility and session management between the two platforms, providing a durable SQLite mailbox for seamless communication. Ideal for use cases involving code generation, automation, and AI-assisted development, where a stable and efficient connection between Claude Code and OpenAI Codex is crucial.

Canonical page: https://skillsregistry.net/skills/webisitystudio-claude-codex-mcp-bridge  
JSON: https://api.skillsregistry.net/v1/skills/webisitystudio-claude-codex-mcp-bridge

## Description

A local MCP bridge that connects Claude Code and OpenAI Codex via a durable SQLite mailbox, with support for orchestrating and resuming Codex sessions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/akvab8d28i)
- **Repository:** <https://github.com/WebisityStudio/claude-codex-mcp-bridge>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "webisitystudio-claude-codex-mcp-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/webisitystudio-claude-codex-mcp-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/webisitystudio-claude-codex-mcp-bridge/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt