Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
The best web search for your AI Agent
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。
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。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://search-mcp.parallel.ai/mcp在终端中运行这条命令
claude mcp add --transport http search https://search-mcp.parallel.ai/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"search": {
"url": "https://search-mcp.parallel.ai/mcp"
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"search": {
"type": "http",
"url": "https://search-mcp.parallel.ai/mcp"
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
https://search-mcp.parallel.ai/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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6日
注册名称已通过域名 parallel.ai 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.0.0)于10个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Context7, Codebase Memory, Exa
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
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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。
Free web search for your coding agent.
Find current documentation, check facts, and read web pages without leaving your agent. No account or API key needed to get started.
Copy this into your coding agent:
Install Parallel's free Search MCP in the coding agent I'm using now.
Identify your client and use its native MCP setup instructions: https://docs.parallel.ai/integrations/mcp/search-mcp
Server name: parallel-search Server URL: https://search.parallel.ai/mcp Transport: Streamable HTTP Authentication: none. No account, API key, or Parallel CLI is needed.
Preserve existing settings and reuse any connection to this endpoint. Tell me if a restart or approval is required.
Once connected, check that web_search and web_fetch are available. Use Parallel to find the official FastAPI response-model documentation and return a source link. Report anything you couldn't verify.
Install in Cursor · Install in VS Code · Manual setup · Documentation
Choose your client. You only need one of these options.
codex mcp add parallel-search --url https://search.parallel.ai/mcp
Start a new Codex session and run /mcp to check the connection. See the Codex MCP guide for configuration options.
gemini extensions install https://github.com/parallel-web/search-mcp
Restart Gemini CLI and run /mcp to check that parallel-search is connected. The extension uses Streamable HTTP and requires no Parallel account or API key. If you already configured parallel-search manually, that configuration takes precedence over the extension. See the extension guide for installation and update options.
Hermes already includes Parallel in its native web providers. Choose Parallel Free (keyless) in hermes tools to use that integration.
This optional package adds a direct connection to Parallel's MCP tools and the bundled setup skill. It leaves Hermes's native web-provider selection unchanged. It's available in the Hermes plugin catalog. Install and enable it with:
hermes plugins install parallel-search
hermes plugins enable parallel-search
Start a new session so Hermes loads the enabled package. Ask Hermes to use the Parallel MCP web_search tool to find official documentation, then web_fetch to read a page. Use skills_list to discover the namespaced parallel-search-setup skill. No Parallel account, API key, or CLI is required.
Use either this package or a manually configured connection to https://search.parallel.ai/mcp to avoid duplicate MCP tools. Disable or remove the package with hermes plugins disable parallel-search or hermes plugins remove parallel-search. Update through hermes plugins update parallel-search; catalog updates use reviewed commit pins.
Merge this into your project's opencode.json:
{
"$schema": "https://opencode.ai/config.json", "mcp": { "parallel-search": { "type": "remote", "url": "https://search.parallel.ai/mcp", "oauth": false } } }
Restart OpenCode and run opencode mcp list to check the connection. See the OpenCode MCP guide for details.
Follow the OpenClaw setup guide to install the Parallel plugin, then set tools.web.search.provider to parallel-free. No Parallel account or API key is needed.
Use this remote MCP server URL:
https://search.parallel.ai/mcp
Select HTTP or Streamable HTTP if your client asks for a transport. Follow the client-specific instructions for the right settings file and format.
Ask your agent:
Use Parallel to find the official FastAPI docs for response models. Show me a small example and link to the source.
Or try:
Use Parallel to check the latest stable Node.js release and its release notes. Cite the official sources.
Use Parallel to read https://modelcontextprotocol.io/introduction and explain how MCP connects an agent to tools.
Your agent can use two tools:
| Tool | What it does |
|---|---|
web_search | Searches the web and returns relevant excerpts with source links. |
web_fetch | Reads specific URLs and returns page content for your agent to use. |
Search results often contain enough information to answer. Your agent can fetch a page when it needs more detail.
This plugin is anonymous by design: both tools work with no account, API key, or login, subject to free-tier rate limits. The free tier is intended for personal agents, hobby projects, and exploration.
For higher limits, usage analytics, and production workloads, create an account at platform.parallel.ai and connect the Parallel Search connector, which signs in with that account. Authenticated usage is billed under your account's pricing and limits — see parallel.ai for pricing. Don't add an API key or point this plugin at an authenticated endpoint; the connector handles sign-in natively.
Both tiers include the same two tools. Authenticated connections also let you configure search behavior, including search modes, result counts, and domain filters. Anonymous requests ignore these settings.
Parallel hosts the service. Search queries and requested URLs are sent to Parallel and handled under the Customer Terms and Privacy Policy. The server only receives what the tools send it — search queries and the URLs you ask it to fetch — and does not read your conversation, files, or other context.
https://search.parallel.ai/mcp./mcp supports free access; /mcp-oauth requires authentication. Approving an MCP connection in your client is separate from logging in to Parallel.This is the official GitHub home for Parallel's hosted Search MCP. It contains this guide and Codex, Cursor, Gemini CLI, and Hermes packages. Codex and Cursor share .mcp.json; Hermes uses the portable Agent Plugins v1 plugin.json and mcp.json files and loads the setup skill (skills/parallel-search-setup/SKILL.md) on demand for connection checks, usage guidance, troubleshooting, and higher-limit options. You can suggest documentation fixes and examples here. The search service runs on Parallel's infrastructure; cloning this repo gives you the documentation and configuration files.
For CLI-based search, research, and enrichment, see the separate Parallel CLI skills plugin.
The files in this repo are MIT licensed. Hosted service usage is covered by the Customer Terms linked above.