DeepSeek Search Everywhere

Name: DeepSeek Search Everywhere
Author: radoxtech

by radoxtechversion 2.0.2i★ –iRuns on your computer

Registry nameio.github.radoxtech/deepseek-search-everywhere-mcp

Install

Overview

Description from the maker (original English)

Web search, page fetching and multi-source research via the DeepSeek Search & Fetch API.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiEarly↓ 2K/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: DEEPSEEK_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: DEEPSEEK_API_KEY, DEEPSEEK_BASE_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "deepseek-search-everywhere": {
      "command": "uvx",
      "args": [
        "deepseek-search-everywhere-mcp"
      ],
      "env": {
        "DEEPSEEK_API_KEY": "your-value",
        "DEEPSEEK_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add deepseek-search-everywhere --env DEEPSEEK_API_KEY=your-value --env DEEPSEEK_BASE_URL=your-value -- uvx deepseek-search-everywhere-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "deepseek-search-everywhere": {
      "command": "uvx",
      "args": [
        "deepseek-search-everywhere-mcp"
      ],
      "env": {
        "DEEPSEEK_API_KEY": "your-value",
        "DEEPSEEK_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "deepseek-search-everywhere": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "deepseek-search-everywhere-mcp"
      ],
      "env": {
        "DEEPSEEK_API_KEY": "your-value",
        "DEEPSEEK_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

DEEPSEEK_API_KEY secret required env
DeepSeek API key used for the Search & Fetch API.
DEEPSEEK_BASE_URL env
Override the DeepSeek API base URL.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account radoxtech, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 5787 servers in this category
Published to the registry more recently than 82% of the other 5787 servers in this category
Basic checks equal to or better than 100% of the other 5787 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is DeepSeek Search Everywhere safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: DEEPSEEK_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.0.2) reached the registry 8 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated today

Computer or cloud

Install

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 23 days ago

Runs on your computer

Install

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsWidely used★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

DeepSeek Search Everywhere MCP

An MCP server that gives AI agents web search, page fetching and multi-source research through the official DeepSeek Search & Fetch API.

It is a thin, careful layer over that API: results are deduplicated, content is capped to a budget you set, repeated calls are served from an in-memory cache, and outgoing calls are paced by a local rate limiter. Seven tools, stdio by default, optional bearer-protected streamable HTTP.

It is a standard MCP server, so it works with any MCP-compatible AI client or agent: Claude Code, Claude Desktop, Google Antigravity, Cursor, Windsurf, VS Code (GitHub Copilot), Gemini CLI, Codex CLI, Zed, opencode and others. Local clients launch it over stdio; remote or shared setups can connect over HTTP.

Not affiliated with DeepSeek. This is an independent, community-maintained project.

Features

Search with content in one request: need_content returns page text inline, so there is usually no need for a second fetch per result.
Batch fetch and research: deepseek_fetch_many fetches up to 10 URLs concurrently; deepseek_research gathers sources in a single pass: one search, then direct fetches for pages whose search content is missing. It does not iterate or summarise.
Deep research and structured extraction: deepseek_deep_research decomposes topics into subqueries and synthesizes cited briefing reports; deepseek_extract extracts validated structured JSON matching schemas or fields.
Result hygiene: canonical-URL and title/site deduplication, per-result and total character budgets, Markdown unescaping.
Optional query rewrite to English through deepseek-flash (thinking disabled), plus an explicit lang operator for non-English queries.
Cache and limiter: TTL + LRU cache with single-flight, per-endpoint token buckets, refresh to bypass.
Safe by default: static SSRF checks, secret redaction, no telemetry. See Security.

Requirements

Python 3.11 or newer
A DeepSeek API key (DEEPSEEK_API_KEY) from the DeepSeek platform

Install

The server is published on PyPI and listed in the official MCP Registry as io.github.radoxtech/deepseek-search-everywhere-mcp.

# Run without installing (uv)

uvx deepseek-search-everywhere-mcp

Or install with pip

pip install deepseek-search-everywhere-mcp

The HTTP transport needs the http extra (it pulls in uvicorn):

pip install "deepseek-search-everywhere-mcp[http]"

To run the latest unreleased code from main, or from a source checkout:

uvx --from git+https://github.com/radoxtech/deepseek-search-everywhere-mcp deepseek-search-everywhere-mcp

git clone https://github.com/radoxtech/deepseek-search-everywhere-mcp.git cd deepseek-search-everywhere-mcp pip install -e ".[http]"

Check that the key and connectivity work (prints your balance, then exits):

export DEEPSEEK_API_KEY=sk-...

deepseek-search-everywhere-mcp --check

Quick start

All examples use stdio. Replace sk-... with your key.

The server is client-agnostic: the examples below cover common clients, and any other MCP client (Antigravity, Cursor, Windsurf, VS Code, Gemini CLI, Codex CLI, Zed, ...) works with the same command, arguments and environment variable in its own MCP configuration format.

Claude Code

claude mcp add deepseek-search-everywhere -e DEEPSEEK_API_KEY=sk-... -- \

uvx deepseek-search-everywhere-mcp

Claude Desktop

Edit claude_desktop_config.json (Settings, Developer, Edit Config):

"mcpServers": { "deepseek-search-everywhere": { "command": "uvx", "args": ["deepseek-search-everywhere-mcp"], "env": { "DEEPSEEK_API_KEY": "sk-..." } } } }

opencode

In opencode.json:

"$schema": "https://opencode.ai/config.json", "mcp": { "deepseek-search-everywhere": { "type": "local", "command": ["uvx", "deepseek-search-everywhere-mcp"], "environment": { "DEEPSEEK_API_KEY": "{env:DEEPSEEK_API_KEY}" }, "enabled": true } } }

Any stdio client

Most clients (including Antigravity, Cursor and Windsurf) use an mcpServers JSON block. Use the uvx form from the Claude Desktop example, or, if the package is already installed, point the client at the console script:

"mcpServers": { "deepseek-search-everywhere": { "command": "deepseek-search-everywhere-mcp", "env": { "DEEPSEEK_API_KEY": "sk-..." } } } }

python -m deepseek_search_everywhere_mcp is equivalent.

Streamable HTTP

For clients that connect over HTTP. A bearer token is always required; the server refuses to start without one.

pip install "deepseek-search-everywhere-mcp[http]"

export DEEPSEEK_API_KEY=sk-... export MCP_BEARER_TOKEN="$(python -c 'import secrets; print(secrets.token_urlsafe(32))')" deepseek-search-everywhere-mcp --transport streamable-http # http://127.0.0.1:8000/mcp

Options: --host (default 127.0.0.1), --port (default 8000), --path (default /mcp). The token is read from the environment only, never from the command line. The server runs stateless and answers with JSON (no SSE streams). Client entry:

"mcpServers": { "deepseek-search-everywhere": { "url": "http://127.0.0.1:8000/mcp", "headers": { "Authorization": "Bearer " } } } }

Claude Code: claude mcp add --transport http deepseek-search-everywhere http://127.0.0.1:8000/mcp --header "Authorization: Bearer $MCP_BEARER_TOKEN". The server speaks plain HTTP; when binding beyond loopback, put TLS in front of it (see SECURITY.md).

Docker

An official container image is available on GitHub Container Registry (ghcr.io):

docker pull ghcr.io/radoxtech/deepseek-search-everywhere-mcp:latest

Stdio mode (Claude Desktop, Cursor, local IDEs):

"mcpServers": { "deepseek-search-everywhere": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "DEEPSEEK_API_KEY=sk-...", "ghcr.io/radoxtech/deepseek-search-everywhere-mcp:latest" ] } } }

Remote HTTP hosting (Docker Compose, VPS, n8n, Dify, cloud agents):

docker run -d --name deepseek-mcp -p 8000:8000 \

-e DEEPSEEK_API_KEY="sk-..." \ -e MCP_BEARER_TOKEN="your-secret-token" \ ghcr.io/radoxtech/deepseek-search-everywhere-mcp:latest \ --transport streamable-http --host 0.0.0.0 --port 8000

The container runs as an unprivileged non-root user (UID 10001) with dependencies isolated from the host.

Tools

Tool	Purpose	Parameters (defaults)
`deepseek_search`	Search the web; returns inline page text (default) or snippets and metadata	`query`, `count=5` (1-50), `ori_question`, `need_content=True`, `lang`, `max_chars_per_result=4000`, `max_total_chars=30000`, `dedupe=True`, `rewrite=False`, `after`, `before`, `include_domains`, `exclude_domains`, `refresh=False`, `summary_chars`, `strip_boilerplate=True`
`deepseek_fetch`	Fetch one known URL as Markdown (supports lexical snippet extraction and sectional reading)	`url`, `clean=True`, `max_chars=20000`, `query`, `section`, `max_snippets=3`, `refresh=False`, `strip_boilerplate=True`
`deepseek_fetch_many`	Fetch 1-10 URLs concurrently (up to 5 at a time)	`urls`, `max_chars_per_url=4000`, `max_total_chars=20000`, `clean=True`, `query`, `refresh=False`, `strip_boilerplate=True`
`deepseek_research`	Single-pass source gathering: search with content and auto-fetch stub pages (< 200 chars). No iteration, no summary	`question`, `max_pages=5` (1-50), `per_page_chars=6000`, `total_chars=30000`, `after`, `before`, `include_domains`, `exclude_domains`, `lang`, `rewrite=False`, `dedupe=True`, `refresh=False`, `strip_boilerplate=True`
`deepseek_deep_research`	Multi-angle research on a topic; decomposes subqueries, gathers sources, and synthesizes a cited report	`topic`, `max_queries=3` (2-4), `max_pages_per_query=3` (1-5), `lang`, `dedupe=True`, `refresh=False`, `strip_boilerplate=True`
`deepseek_extract`	Extract structured JSON from a web page conforming to target fields or a schema	`url`, `fields=None`, `schema=None`, `instruction=None`, `clean=True`, `max_chars=40000`, `refresh=False`, `strip_boilerplate=True`
`deepseek_check_balance`	Account balance and session metrics (upstream queries, cache hits, estimated cost)	none

Notes on the parameters:

query and question are limited to 128 characters and support site:, -site:, "phrase", lang:, after: and before:. ori_question (max 128 characters) is the natural-language question and improves ranking.
after, before, include_domains and exclude_domains are explicit filter parameters for search tools. include_domains compiles to space-separated site: operators, exclude_domains to -site:, and dates to after:YYYY-MM-DD / before:YYYY-MM-DD. Filters and query are budget-guarded together to stay within DeepSeek's 128-character limit.
query in deepseek_fetch and deepseek_fetch_many extracts ranked relevant excerpts using a BM25-lite scoring engine without invoking an LLM. section (1-based index) enables sectional reading of long documents with has_more and total_sections pagination metadata. Both operate in-memory on cached pages.
deepseek_deep_research decomposes topics into 2-4 subqueries via deepseek-flash, searches concurrently, merges and dedupes candidate sources, and synthesizes a cited report with numbered bracket citations [1], [2] capped at 6 sources / 24,000 characters. If the synthesis deadline is approached, it gracefully falls back to returning the gathered sources.
deepseek_extract uses deepseek-flash to extract structured JSON matching either fields: list[str] or a schema: dict without ingesting the full page text into client context. Missing requested fields are populated with null, and pages with no readable text fast-fail with zero LLM token consumption.
deepseek_check_balance (and legacy alias deepseek_balance) includes a session block with uptime, total queries handled, cache hit rate, and estimated cost and savings (at $0.00075 per request).
lang is an explicit language operator such as es, de, ja or pt-BR. Without it, results for non-English queries may be mixed-language; for named entities, compare with and without it.
With dedupe=True, searches ask the upstream for a few extra results (max(2, ceil(count * 0.5)), capped at 50) and trim to count after removing duplicates, so you still get count results when the index returns repeats. With dedupe=False exactly count are requested.
Without need_content, each search result carries a short summary instead of page text. It is capped at summary_chars (default 400) and never lo

Only the beginning is shown; read the rest in the repo

DeepSeek Search Everywhere

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

DeepSeek Search Everywhere MCP

Features

Requirements

Install

Or install with pip

Quick start

Claude Code

Claude Desktop

opencode

Any stdio client

Streamable HTTP

Docker

Tools