# deepseek-harness-codex-bridge

> deepseek-harness-codex-bridge — aloneswork-deepseek-harness-codex-bridge. Use this tool when you need to delegate complex tasks to specialized AI systems, such as DeepSeek Harness, and manage task status and messaging through a unified interface. It solves problems of task distribution, messaging, and tracking in AI workflows, particularly when integrating Codex with external systems. The tool accepts task delegations and messages as inputs and provides task status updates and results as outputs.

Canonical page: https://skillsregistry.net/skills/aloneswork-deepseek-harness-codex-bridge  
JSON: https://api.skillsregistry.net/v1/skills/aloneswork-deepseek-harness-codex-bridge

## Description

This MCP server enables Codex to delegate bounded subtasks to DeepSeek Harness through MCP, with persistent JSON mailbox messaging and proactive task initiation via Codex app-server. It provides tools for delegation, message exchange, and task status tracking.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eefdeav87o)
- **Repository:** <https://github.com/Aloneswork/deepseek-harness-codex-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": "aloneswork-deepseek-harness-codex-bridge"
    }
  }
}
```

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