seekfetch

seekfetch

Web search and page-to-Markdown for AI agents, powered by the DeepSeek Search & Fetch API. One package, three ways to use it: an MCP server, a CLI, and a TypeScript library.

Unofficial community project. seekfetch is not affiliated with, endorsed by, or sponsored by DeepSeek. It is a client for DeepSeek's public API and needs your own API key.

[CI] [npm] [License: MIT]

Why

• Calls the dedicated endpoints (/v1/tools/search, /v1/tools/fetch). No chat model sits in between, so a search costs one API request and no model tokens.
• Search, fetch and research. research returns the best pages with their content from a single search request, and only fetches the pages that came back empty.
• Built for context windows. It returns DeepSeek's model-ready summaries by default, filters by relevance score, and pages through long documents with an offset.
• Production behavior. It retries 408/429/5xx with backoff and honors Retry-After. It paces requests to the 5 QPS account limit and validates inputs locally so bad requests never cost a call. It parses responses tolerantly, so new or missing fields don't break it.

Quick start

1. Get an API key at platform.deepseek.com.
2. Add seekfetch to your MCP client (below), or run it from the shell:

export DEEPSEEK_API_KEY=sk-...npx -y seekfetch search "model context protocol registry"

Requires Node.js 22.12 or later.

MCP setup

The server runs over stdio with npx -y seekfetch mcp.

claude mcp add seekfetch -e DEEPSEEK_API_KEY=sk-... -- npx -y seekfetch mcp

{  "mcpServers": {    "seekfetch": {      "command": "npx",      "args": ["-y", "seekfetch", "mcp"],      "env": { "DEEPSEEK_API_KEY": "sk-..." }    }  }}

{  "mcpServers": {    "seekfetch": {      "command": "npx",      "args": ["-y", "seekfetch", "mcp"],      "env": { "DEEPSEEK_API_KEY": "sk-..." }    }  }}

{  "inputs": [    { "type": "promptString", "id": "deepseek-key", "description": "DeepSeek API key", "password": true }  ],  "servers": {    "seekfetch": {      "type": "stdio",      "command": "npx",      "args": ["-y", "seekfetch", "mcp"],      "env": { "DEEPSEEK_API_KEY": "${input:deepseek-key}" }    }  }}

[mcp_servers.seekfetch]command = "npx"args = ["-y", "seekfetch", "mcp"]env = { DEEPSEEK_API_KEY = "sk-..." }

On Windows, if your client can't find npx, use "command": "cmd" with "args": ["/c", "npx", "-y", "seekfetch", "mcp"].

Tools

All tools are read-only.

CLI

npm i -g seekfetch          # or prefix each command with npx -y
seekfetch search "rust async runtimes" -n 5 --min-score 1.5seekfetch search "mcp server" --site github.com --lang en --after 2026-01-01seekfetch research "how is the DeepSeek search API priced?" -o notes.mdseekfetch fetch https://example.com --max-chars 20000seekfetch search "query" --json | jq '.results[].url'

Run seekfetch <command> --help for every flag.

Agent skill

skills/seekfetch/SKILL.md teaches agents with a shell (Claude Code, Codex and others that read SKILL.md) when and how to use the CLI. Copy the folder into your agent's skills directory, for example ~/.claude/skills/seekfetch/.

Library

import { DeepSeekWebClient, buildQuery, research } from "seekfetch";
const client = new DeepSeekWebClient({ apiKey: process.env.DEEPSEEK_API_KEY! });
const { results } = await client.search({  query: buildQuery("vector databases", { sites: ["github.com"], after: "2026" }),  count: 10,});
const page = await client.fetch("https://example.com"); // { title, content (Markdown) }const report = await research(client, { question: "What changed in MCP this year?", maxPages: 3 });

Configuration

API limits and pricing

As documented by DeepSeek on 2026-10-18; check the Search & Fetch guide for current terms.

• Queries are limited to 128 characters, filters included. count is 1–50.
• Observed in practice: summaries run 1,000–3,500 characters (the docs say 600–800), page content from search is capped around 20,000 characters, and site: is a strong preference rather than a strict filter.
• 5 QPS per account for search, and separately for fetch. Fetch also has a per-domain limit.
• Billing is per successful request, published at $0.75 per 1,000 for each API. Empty results and errors are not billed.

Development

npm installnpm test          # unit + MCP tests against a fake APInpm run build

Issues and PRs are welcome.

License

MIT. "DeepSeek" is a trademark of its owner and is used here only to describe the API this client calls.