Deepseek Harness

This is an MCP server, not a DSH bundle. It is wired in through the official @deepseek-ai/dsh-mcp-client bridge: one plugin row in your config, pointing at either a stdio command or an http endpoint. Its tools then appear to the agent as mcp__deepseek-harness__<tool>, the same naming Claude Code and Codex use.

{
  "name": "@deepseek-ai/dsh-mcp-client",
  "config": {
    "server": "deepseek-harness",
    "command": "<stdio command from the README>",
    "url": "<or an http endpoint, if the server is remote>"
  }
}

Prerequisites

API key

Required — see the repository README for which provider.

Network access

Required at runtime.

Language

Python

Verdict reason

mcp-server uses its own install path, so bundle checks do not apply

package.json read

packages/mcp/package.json

Rules applied from

docs/user/develop/basic/publish.md

Checked at

2026-08-15

A single protocol contract distributed in four wrapper formats. Designed to meet the integration requirements of any OpenAI-compatible client. | Form | Status | Distribution channel | |---|---|---| | Python library `deepseek-harness` | published `0.2.0` | https://pypi.org/project/deepseek-harness/ | | Command-line tool `deepseek-harness-cli` | published `0.2.0` | https://pypi.org/project/deepseek-harness-cli/ | | MCP server `@deepseek-harness/mcp` | published `0.2.0` | https://www.npmjs.com/package/@deepseek-harness/mcp | | Anthropic Skill | source ready | (see [`packages/skill/SKILL.md`](packages/skill/SKILL.md)) |