# agent-bridge

> agent-bridge — ming0429-bridge-mcp-server. Use this tool when you need to integrate Claude Code and Codex capabilities, enabling them to delegate tasks to each other seamlessly. The agent-bridge serves as an MCP server, facilitating communication between the two via the Agent Client Protocol. It accepts task requests as input and outputs the delegated task results, ideal for use cases requiring collaborative AI processing.

Canonical page: https://skillsregistry.net/skills/ming0429-bridge-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ming0429-bridge-mcp-server

## Description

An MCP server that lets Claude Code and Codex delegate tasks to each other via the Agent Client Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/akl18wtmv6)
- **Repository:** <https://github.com/Ming0429/bridge-mcp-server>

## 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": "ming0429-bridge-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ming0429-bridge-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ming0429-bridge-mcp-server/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