# codex-bridge-mcp

> codex-bridge-mcp — urus1201-codex-bridge-mcp. Use this tool when you need to access and utilize OpenAI Codex CLI session history from MCP clients like Claude Code, providing read access to previous interactions and facilitating further development and version control with git integration. It solves problems of data accessibility and collaboration, enabling seamless interaction between Codex and MCP clients. Ideal for use cases requiring shared knowledge and iterative coding workflows.

Canonical page: https://skillsregistry.net/skills/urus1201-codex-bridge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/urus1201-codex-bridge-mcp

## Description

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

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Urus1201/codex-bridge-mcp)

## 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": "urus1201-codex-bridge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/urus1201-codex-bridge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/urus1201-codex-bridge-mcp/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
