DeepSeek Harness Plugin MCP

DeepSeek Harness Plugin MCP

MCP server that lets AI agents discover, inspect, install, and run DeepSeek Harness plugins via MCP, bridging the gap between the MCP protocol and Cordis-based plugin bundles.

Category
Visit Server

README

DeepSeek Harness Plugin MCP

Made by BitFun.

MCP server that lets any agent discover, inspect, install, and run DeepSeek Harness plugins.

Catalog source: github.com/topics/dsh-plugin.

English | 中文

What it does

DSH plugins are Cordis bundles (dsh.bundle.patch → cordis.patch.yml). Foreign agents speak MCP, not Cordis. This server is the inverse of @deepseek-ai/dsh-mcp-client:

Plane Needs DSH? What the agent can do
Catalog No Search/list/inspect every public dsh-plugin repo, read README and cordis.patch.yml
Profile dsh on PATH dsh plugin add / remove into a real profile
Runtime dsh on PATH + --allow-runtime Boot that profile and call composition tools as dsh__*

UI/TUI/skin plugins are catalogued and installable. They do not become MCP tools; their UI stays in DSH.

Install

npm install -g deepseek-harness-plugin-mcp
# or
npx deepseek-harness-plugin-mcp --help

Node ^22.19 || >=24.

Wire it into an agent

Cursor / Claude Desktop / Claude Code / Codex (stdio)

{
  "mcpServers": {
    "dsh-plugins": {
      "command": "npx",
      "args": ["-y", "deepseek-harness-plugin-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_optional_but_recommended"
      }
    }
  }
}

Enable install and runtime (this runs dsh plugin and plugin code):

{
  "mcpServers": {
    "dsh-plugins": {
      "command": "npx",
      "args": ["-y", "deepseek-harness-plugin-mcp", "--allow-install", "--allow-runtime"],
      "env": {
        "GITHUB_TOKEN": "ghp_…",
        "DSH_PLUGIN_MCP_PROFILE": "mcp-bridge"
      }
    }
  }
}

dsh must be on PATH for the profile and runtime planes.

Streamable HTTP

dsh-plugin-mcp --http --port 8765 --allow-runtime

Point the agent at http://127.0.0.1:8765/mcp. GET /health is a process liveness check.

Inside DeepSeek Harness

This package is itself a DSH bundle:

dsh plugin --profile web add github:bobleer/deepseek-harness-plugin-mcp
dsh --profile web

The live Harness then serves Streamable HTTP MCP (default http://127.0.0.1:8765/mcp) and mirrors ctx.tools — every first-party and third-party tool the composition registered.

MCP tools

Control plane:

  • dsh_plugin_status / dsh_plugin_refresh_catalog / dsh_plugin_list / dsh_plugin_search
  • dsh_plugin_get / dsh_plugin_inspect / dsh_plugin_readme
  • dsh_plugin_list_installed / dsh_plugin_install / dsh_plugin_uninstall
  • dsh_runtime_start / dsh_runtime_stop / dsh_runtime_load / dsh_runtime_unload / dsh_runtime_list_tools

After dsh_runtime_start, DSH tools appear as dsh__<name>.

Resources: dsh-plugin://catalog, dsh-plugin://github/{owner}/{repo} (+ /readme, /package.json, /cordis.patch.yml), dsh-plugin://installed/{profile}, dsh-plugin://runtime/tools.

Prompts: search-dsh-plugins, install-dsh-plugin, use-dsh-plugin.

Flags and env

Flag / env Default Meaning
--http stdio Streamable HTTP
--host / DSH_PLUGIN_MCP_HOST 127.0.0.1 Bind address
--port / DSH_PLUGIN_MCP_PORT 8765 Bind port
--allow-install / DSH_PLUGIN_MCP_ALLOW_INSTALL off dsh plugin add/remove
--allow-runtime / DSH_PLUGIN_MCP_ALLOW_RUNTIME off Spawn DSH and bridge tools
--profile / DSH_PLUGIN_MCP_PROFILE mcp-bridge Target profile
--dsh-root / DSH_ROOT unset Harness checkout (informational in status)
--cache-dir / DSH_PLUGIN_MCP_CACHE_DIR ~/.dsh-plugin-mcp Catalog cache
--no-catalog / DSH_PLUGIN_MCP_CATALOG=0 on Disable GitHub catalog tools
GITHUB_TOKEN / GH_TOKEN unset GitHub API auth

Install and runtime are off until you opt in. Catalog is always available.

Typical agent flow

  1. dsh_plugin_search with the task keywords.
  2. dsh_plugin_inspect on owner/repo. Prefer isDshBundle: true.
  3. Optional: dsh_plugin_install with github:owner/repo.
  4. dsh_runtime_start with plugins: ["github:owner/repo"].
  5. Call the listed dsh__* tools.

Development

npm install
npm run check

Protocol smoke (official MCP Inspector CLI, same client family as @modelcontextprotocol/sdk):

npx @modelcontextprotocol/inspector --cli node dist/cli.js --method tools/list
npx @modelcontextprotocol/inspector --cli node dist/cli.js --method tools/call \
  --tool-name dsh_plugin_status --tool-args-json '{}'

Design: docs/design.md.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured