dsh-research-plugins

<strong>Research plugins for <a href="https://github.com/deepseek-ai/deepseek-harness">DeepSeek Harness</a></strong> — a pnpm monorepo adding web search and MCP (Model Context Protocol) bridges for AI research, web scraping, and live documentation to your DSH agent.

<a href="https://github.com/PyModel/pythinker-code"><img src="https://komarev.com/ghpvc/?username=PyModel-pythinker-code&label=visitors&color=4f46e5&style=flat-square" alt="visitors"></a>

<a href="#what-this-is">What this is</a> · <a href="#install">Install</a> · <a href="#api-keys">API keys</a> · <a href="#repo-layout">Repo layout</a> · <a href="#license">License</a>

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What this is

dsh-research-plugins gives your DeepSeek Harness (DSH) agent three research superpowers it does not have out of the box:

• Web search via the Tavily Search API — a settings toggle that swaps the built-in DeepSeek search for Tavily, with keyless search support.
• Web scraping & crawling via the Firecrawl MCP server — scrape, crawl, map, and search the open web inside tool calls.
• Up-to-date library docs via the Context7 MCP server — on-demand documentation and code examples for any library or framework.

Everything is delivered as drop-in DSH plugins — no vendor lock-in, no forks, just a dsh plugin add away.

Package	What it adds
@pymodel/dsh-tavily	Tavily Search API as a web search provider (settings toggle, keyless search) + a Tavily MCP bridge (tavily-search / tavily-extract keyless; crawl / map with a key)
dsh-mcp-firecrawl	Firecrawl MCP: keyless search / scrape / parse; full tool surface with an API key
dsh-mcp-context7	Context7 MCP: mcp__context7__* up-to-date library docs and code examples

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Install

Each package installs independently into a DSH profile:

dsh plugin --profile web add @pymodel/dsh-tavily
dsh plugin --profile web add dsh-mcp-firecrawl
dsh plugin --profile web add dsh-mcp-context7
dsh web

Or follow GitHub (this repo, latest commits):

dsh plugin --profile web add github:PyModel/dsh-research-plugins#path:packages/dsh-tavily
dsh plugin --profile web add github:PyModel/dsh-research-plugins#path:packages/dsh-mcp-firecrawl
dsh plugin --profile web add github:PyModel/dsh-research-plugins#path:packages/dsh-mcp-context7

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API keys

The MCP bridges use the harness's shipped @deepseek-ai/dsh-mcp-client. They read keys from the launch environment (a real env var, the project .env, or $DSH_HOME/.env) — not from $DSH_HOME/.credentials.yaml:

Plugin	Env var	Required	Endpoint
dsh-tavily (MCP part)	TAVILY_API_KEY	no (keyless MCP: search + extract; crawl/map need a key)	https://mcp.tavily.com/mcp/
dsh-mcp-firecrawl	FIRECRAWL_API_KEY	no (keyless: search/scrape/parse; full surface with a key)	https://mcp.firecrawl.dev/v2/mcp
dsh-mcp-context7	CONTEXT7_API_KEY	no (keyless works)	https://mcp.context7.com/mcp

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