Agent Web Search

Name: Agent Web Search
Author: JerryLiu369

作者：JerryLiu369版本 0.8.1i★ –i在你的电脑上运行

注册名称io.github.JerryLiu369/agent-web-search

安装

概览

作者提供的说明（英文原文）

Provider-neutral web_search for AI agents. Grounding + agent search APIs, keyless defaults.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 搜索与 AI 记忆
你需要填写：ARK_API_KEY, GEMINI_API_KEY, XAI_API_KEY, DEEPSEEK_API_KEY, AGENT_WEB_SEARCH_RESPONSES_API_KEY, AGENT_WEB_SEARCH_MESSAGES_API_KEY, TAVILY_API_KEY, BRAVE_SEARCH_API_KEY, PERPLEXITY_API_KEY, YDC_API_KEY, EXA_API_KEY, PARALLEL_API_KEY, ZHIPU_WEB_SEARCH_API_KEY, ZHIPU_CHAT_SEARCH_API_KEY

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： AGENT_WEB_SEARCH_PROVIDERS, ARK_API_KEY, GEMINI_API_KEY, XAI_API_KEY, DEEPSEEK_API_KEY, AGENT_WEB_SEARCH_RESPONSES_API_KEY, AGENT_WEB_SEARCH_RESPONSES_BASE_URL, AGENT_WEB_SEARCH_MESSAGES_API_KEY, AGENT_WEB_SEARCH_MESSAGES_BASE_URL, TAVILY_API_KEY, BRAVE_SEARCH_API_KEY, PERPLEXITY_API_KEY, YDC_API_KEY, EXA_API_KEY, PARALLEL_API_KEY, ZHIPU_WEB_SEARCH_API_KEY, ZHIPU_CHAT_SEARCH_API_KEY

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "agent-web-search": {
      "command": "uvx",
      "args": [
        "agent-web-search-mcp"
      ],
      "env": {
        "AGENT_WEB_SEARCH_PROVIDERS": "your-value",
        "ARK_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value",
        "XAI_API_KEY": "your-value",
        "DEEPSEEK_API_KEY": "your-value",
        "AGENT_WEB_SEARCH_RESPONSES_API_KEY": "your-value",
        "AGENT_WEB_SEARCH_RESPONSES_BASE_URL": "your-value",
        "AGENT_WEB_SEARCH_MESSAGES_API_KEY": "your-value",
        "AGENT_WEB_SEARCH_MESSAGES_BASE_URL": "your-value",
        "TAVILY_API_KEY": "your-value",
        "BRAVE_SEARCH_API_KEY": "your-value",
        "PERPLEXITY_API_KEY": "your-value",
        "YDC_API_KEY": "your-value",
        "EXA_API_KEY": "your-value",
        "PARALLEL_API_KEY": "your-value",
        "ZHIPU_WEB_SEARCH_API_KEY": "your-value",
        "ZHIPU_CHAT_SEARCH_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add agent-web-search --env AGENT_WEB_SEARCH_PROVIDERS=your-value --env ARK_API_KEY=your-value --env GEMINI_API_KEY=your-value --env XAI_API_KEY=your-value --env DEEPSEEK_API_KEY=your-value --env AGENT_WEB_SEARCH_RESPONSES_API_KEY=your-value --env AGENT_WEB_SEARCH_RESPONSES_BASE_URL=your-value --env AGENT_WEB_SEARCH_MESSAGES_API_KEY=your-value --env AGENT_WEB_SEARCH_MESSAGES_BASE_URL=your-value --env TAVILY_API_KEY=your-value --env BRAVE_SEARCH_API_KEY=your-value --env PERPLEXITY_API_KEY=your-value --env YDC_API_KEY=your-value --env EXA_API_KEY=your-value --env PARALLEL_API_KEY=your-value --env ZHIPU_WEB_SEARCH_API_KEY=your-value --env ZHIPU_CHAT_SEARCH_API_KEY=your-value -- uvx agent-web-search-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-web-search": {
      "command": "uvx",
      "args": [
        "agent-web-search-mcp"
      ],
      "env": {
        "AGENT_WEB_SEARCH_PROVIDERS": "your-value",
        "ARK_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value",
        "XAI_API_KEY": "your-value",
        "DEEPSEEK_API_KEY": "your-value",
        "AGENT_WEB_SEARCH_RESPONSES_API_KEY": "your-value",
        "AGENT_WEB_SEARCH_RESPONSES_BASE_URL": "your-value",
        "AGENT_WEB_SEARCH_MESSAGES_API_KEY": "your-value",
        "AGENT_WEB_SEARCH_MESSAGES_BASE_URL": "your-value",
        "TAVILY_API_KEY": "your-value",
        "BRAVE_SEARCH_API_KEY": "your-value",
        "PERPLEXITY_API_KEY": "your-value",
        "YDC_API_KEY": "your-value",
        "EXA_API_KEY": "your-value",
        "PARALLEL_API_KEY": "your-value",
        "ZHIPU_WEB_SEARCH_API_KEY": "your-value",
        "ZHIPU_CHAT_SEARCH_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "agent-web-search": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agent-web-search-mcp"
      ],
      "env": {
        "AGENT_WEB_SEARCH_PROVIDERS": "your-value",
        "ARK_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value",
        "XAI_API_KEY": "your-value",
        "DEEPSEEK_API_KEY": "your-value",
        "AGENT_WEB_SEARCH_RESPONSES_API_KEY": "your-value",
        "AGENT_WEB_SEARCH_RESPONSES_BASE_URL": "your-value",
        "AGENT_WEB_SEARCH_MESSAGES_API_KEY": "your-value",
        "AGENT_WEB_SEARCH_MESSAGES_BASE_URL": "your-value",
        "TAVILY_API_KEY": "your-value",
        "BRAVE_SEARCH_API_KEY": "your-value",
        "PERPLEXITY_API_KEY": "your-value",
        "YDC_API_KEY": "your-value",
        "EXA_API_KEY": "your-value",
        "PARALLEL_API_KEY": "your-value",
        "ZHIPU_WEB_SEARCH_API_KEY": "your-value",
        "ZHIPU_CHAT_SEARCH_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

AGENT_WEB_SEARCH_PROVIDERS env
Comma-separated startup-enabled provider set; defaults to ddgs,exa,parallel (all keyless)
ARK_API_KEY 机密 env
Volcengine Ark API key for Doubao grounding
GEMINI_API_KEY 机密 env
Google Gemini API key for Google Search grounding
XAI_API_KEY 机密 env
xAI API key for Grok web/X search
DEEPSEEK_API_KEY 机密 env
DeepSeek API key for native web search
AGENT_WEB_SEARCH_RESPONSES_API_KEY 机密 env
Generic Responses API key for web search grounding (falls back to OPENAI_API_KEY)
AGENT_WEB_SEARCH_RESPONSES_BASE_URL env
Generic Responses API base URL; defaults to https://api.openai.com/v1
AGENT_WEB_SEARCH_MESSAGES_API_KEY 机密 env
Generic Anthropic Messages API key for web search grounding
AGENT_WEB_SEARCH_MESSAGES_BASE_URL env
Generic Anthropic Messages API base URL; defaults to https://api.anthropic.com
TAVILY_API_KEY 机密 env
Tavily API key for agent-oriented search
BRAVE_SEARCH_API_KEY 机密 env
Brave Search API key
PERPLEXITY_API_KEY 机密 env
Perplexity API key for structured search
YDC_API_KEY 机密 env
You.com API key
EXA_API_KEY 机密 env
Optional Exa key; free MCP fallback without it
PARALLEL_API_KEY 机密 env
Optional Parallel key; free MCP fallback without it
ZHIPU_WEB_SEARCH_API_KEY 机密 env
Zhipu standalone Web Search API key
ZHIPU_CHAT_SEARCH_API_KEY 机密 env
Zhipu Chat Completions native web search key

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 JerryLiu369 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 5678 个服务器的 0%
发布到注册中心的时间比此分类中其他 5678 个服务器的 71% 更新
基础检查结果等于或优于此分类中其他 5678 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Agent Web Search 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：ARK_API_KEY, GEMINI_API_KEY, XAI_API_KEY, DEEPSEEK_API_KEY, AGENT_WEB_SEARCH_RESPONSES_API_KEY, AGENT_WEB_SEARCH_MESSAGES_API_KEY, TAVILY_API_KEY, BRAVE_SEARCH_API_KEY, PERPLEXITY_API_KEY, YDC_API_KEY, EXA_API_KEY, PARALLEL_API_KEY, ZHIPU_WEB_SEARCH_API_KEY, ZHIPU_CHAT_SEARCH_API_KEY

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.8.1）于16天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者：upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新

安装

Codebase Memory

作者：DeusData

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

在你的电脑上运行★ 48,148MIT21天前更新

安装

Exa

作者：exa-labs

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

在云端运行★ 5,213MIT2个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Agent Web Search

Agent-native web search — model-native grounding and agent search APIs behind one provider-neutral contract.

English | 简体中文

One-click remote MCP

Works with Codex CLI, Claude Code, OpenCode, Hermes, DeepSeek Harness (DSH), ordinary shell scripts, Python applications, and remote Streamable HTTP MCP clients.

Quickstart · Use with an agent · Providers · Configuration

Shared interface · Other interfaces · Troubleshooting · FAQ · Architecture · Development

Agent Web Search (PyPI: agent-web-search-mcp) is an open-source, MIT-licensed web search MCP server, CLI, and Python library for AI agents. It gives an agent three ways to reach the same provider-neutral search core: a native MCP tool, a native plugin (Hermes, DeepSeek Harness), or a CLI taught through a standard Agent Skill.

If you are an AI agent: install with pipx install agent-web-search-mcp

(or try instantly with uvx --from agent-web-search-mcp agent-web-search " "),

then read skills/agent-web-search/SKILL.md —

it teaches the CLI pathway only (for MCP setups, follow Option 1

instead). llms.txt

is the machine-readable doc index.

This is not a Google/Bing/Baidu metasearch wrapper. Traditional search aggregation fans a keyword query out to conventional engines and merges their result pages. Agent Web Search instead aggregates search capabilities built for agents: model-native web grounding, agent-oriented search APIs, and context-ready sources that accept natural-language questions and return answers, citations, or structured evidence in forms an agent can use directly. DDGS is the only conventional search backend in the current provider set.

          Natural-language question

| v SearchEngine +-----------+-----------+ | | | v v v DDGS Model Agent grounding APIs (Responses, (Exa, ARK, Grok, Parallel, Gemini...) Tavily...)

Installation & Quickstart

Three steps, about a minute: try it instantly, install it once, then connect your agent. Requirements: Python 3.10+. Default providers (DDGS, Exa, Parallel) require no API key.

Try without installing

Test immediate search capabilities using uvx (no environment modification):

# Direct natural-language search with keyless defaults

uvx --from agent-web-search-mcp agent-web-search "What changed in the latest OpenAI Codex CLI?"

Inspect MCP server arguments

uvx agent-web-search-mcp --help

Install

Install once into your global user environment (recommended):

# Recommended isolated installation

pipx install agent-web-search-mcp

Or install into the active Python environment

python -m pip install agent-web-search-mcp

Verify

# 1. Verify the CLI and run a real search

agent-web-search --version agent-web-search "What changed in the latest OpenAI Codex CLI?"

2. Verify the MCP server binary

agent-web-search-mcp --help

Two commands, two roles:

- agent-web-search: Direct search CLI for terminals, shell scripts, and Agent Skills.

- agent-web-search-mcp: Stdio and Streamable HTTP MCP server for MCP clients.

Pick your agent integration

Integration	Client / Environment	Setup
CLI + Skill (Recommended)	Terminal agents (Claude Code, Codex, OpenCode, Hermes)	`npx skills add JerryLiu369/agent-web-search --skill agent-web-search` (Details)
MCP (Stdio)	Codex CLI, Claude Code, Cursor, Cline, Roo Code	`codex mcp add agent-web-search -- agent-web-search-mcp` (Details)
DSH Plugin	DeepSeek Harness (desktop & web)	`dsh plugin --profile desktop add github:JerryLiu369/agent-web-search` (Details)
Hermes Plugin	Hermes Agent	`hermes plugins install JerryLiu369/agent-web-search` (Details)

[!TIP]

Why CLI + Skill is recommended for shell-capable agents: If your agent already has terminal/bash execution capabilities (like Claude Code, Codex CLI, OpenCode, or Hermes), the CLI + Skill pathway offers the lowest friction and highest reliability. No MCP JSON configuration to debug, no background transport lifecycle to manage, and clean stdout JSON output taught through a standard Skill.

Why Agent Web Search

Traditional search aggregation (Google/Bing/Baidu wrappers, scraped SERPs) sends a keyword query to conventional engines and merges result pages. Agent Web Search instead aggregates search capabilities built for agents: one tool call returns structured, citation-ready evidence — or, through model-native grounding providers, a synthesized answer with explicit citations. A measured benchmark shows the practical difference: on a natural-language Chinese query asking for official sources, conventional SERP backends returned no government-domain results in the top 5, while the grounding provider returned official figures from China's General Administration of Customs with a working citation.

Agent-native by design. The primary interface is a complete natural-language question, not a thin keyword fan-out to Google, Bing, or Baidu.
Model-native search backends. ARK, Gemini, Grok, DeepSeek, Responses, Messages, Zhipu Chat Search, and Codex Alpha can combine web retrieval with model-generated synthesis and explicit citations.
Agent search providers. Exa, Parallel, Brave, Perplexity, Tavily, You.com, and Zhipu Web Search expose search APIs intended to provide structured, citation-friendly, or context-ready evidence to downstream agents.
One provider-neutral contract. Every backend is available through the same MCP tool, CLI, Python API, and normalized results; model-backed providers may also return an answer.
Independent providers. Selected providers run concurrently, and one provider's failure never discards another provider's successful result.
DDGS remains a simple fallback. DDGS is the only conventional search backend; it requires no API key and keeps the project usable without paid provider credentials. Exa and Parallel are also keyless by default.
No telemetry, no shared secrets. Provider keys stay in runtime environment variables; there is no shared API-key service.

Providers

The provider list is intentionally split by the kind of search capability it provides. Only DDGS is a conventional search backend; the other two groups are built around model-native grounding or agent-facing search services.

Free, keyless defaults: DDGS, Exa, and Parallel all work without an API

key. Exa and Parallel automatically use their free MCP transports until a

paid API key is provided.

Traditional search backend

Provider	Website	Search backend	API key	Enabled by default
DDGS	DuckDuckGo	Conventional DuckDuckGo search	Free · no key required	Yes

Model providers

These providers use a model-native search or grounding surface. Their responses can include a model-generated answer together with citations or other explicit search evidence.

Provider	Website	Model-native search surface	API key	Enabled by default
ARK	Volcengine Ark	Responses API with Doubao web-search grounding	`ARK_API_KEY`	No
Codex Alpha (experimental)	Alpha Search-compatible gateway	Model-backed Alpha Search surface	`AGENT_WEB_SEARCH_CODEX_ALPHA_API_KEY`	No
DeepSeek	DeepSeek API	Anthropic Messages API with native web search	`DEEPSEEK_API_KEY`	No
Gemini	Google AI	Gemini Google Search grounding	`GEMINI_API_KEY`	No
Grok	xAI	xAI web search and X Search	`XAI_API_KEY`	No
Responses	Responses API-compatible gateway	Generic OpenAI Responses API with web search grounding	`AGENT_WEB_SEARCH_RESPONSES_API_KEY`	No
Messages	Messages API-compatible gateway	Generic Anthropic Messages API with web search grounding	`AGENT_WEB_SEARCH_MESSAGES_API_KEY`	No
Zhipu Chat Search	Zhipu AI	GLM Chat Completions with native web search	`ZHIPU_CHAT_SEARCH_API_KEY`	No

Agent search providers

These providers expose search services for agent consumption: natural-language queries, structured source rows, high-signal excerpts, or citation-friendly metadata rather than a conventional search-page experience.

Provider	Website	Agent-facing search surface	API key	Enabled by default
Exa	Exa	Semantic Search API or free MCP fallback	Free without key · optional `EXA_API_KEY`	Yes
Parallel	Parallel	Context-oriented search API or free MCP	Free without key · optional `PARALLEL_API_KEY`	Yes
Brave	Brave Search	Structured Web Search API	`BRAVE_SEARCH_API_KEY`	No
Perplexity	Perplexity API	Native structured Search API	`PERPLEXITY_API_KEY`	No
Tavily	Tavily	Agent-oriented Search API	`TAVILY_API_KEY`	No
You.com	You.com API	Unified web and news Search API	`YDC_API_KEY`	No

| **Zhipu Web Sear

只显示了开头部分；其余内容请在仓库中阅读

Agent Web Search

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

常见问题

替代选择

Context7

Codebase Memory

Exa

作者的 README

Agent Web Search

Installation & Quickstart

Try without installing

Inspect MCP server arguments

Install

Or install into the active Python environment

Verify

2. Verify the MCP server binary

Pick your agent integration

Why Agent Web Search

Providers

Traditional search backend

Model providers

Agent search providers