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Search1API

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fatwang2

Execute web searches, news queries, and content extraction.

Publisherfatwang2
Repositorysearch1api-mcp
LanguageTypeScript
Forks
38
Stars
172
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Search1API exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    172 stars and 38 forks from the linked repository.

Search1API MCP Server

中文文档

The official MCP server for Search1API — web search, news, crawling, and more in one API.

Get Your API Key

  1. Register at Search1API
  2. Get your API key from the dashboard

Quick Start (Remote MCP)

No installation required. Just configure your MCP client with the remote URL and your API key.

Authentication

Two methods are supported — use whichever your client supports:

MethodFormat
Authorization HeaderAuthorization: Bearer YOUR_SEARCH1API_KEY
URL Query Parameterhttps://mcp.search1api.com/mcp?apiKey=YOUR_SEARCH1API_KEY

Claude Desktop

json
{
  "mcpServers": {
    "search1api": {
      "url": "https://mcp.search1api.com/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_SEARCH1API_KEY"
      }
    }
  }
}

Claude.ai (Web)

Settings > Connectors > Add custom connector:

https://mcp.search1api.com/mcp?apiKey=YOUR_SEARCH1API_KEY

Cursor

json
{
  "mcpServers": {
    "search1api": {
      "url": "https://mcp.search1api.com/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_SEARCH1API_KEY"
      }
    }
  }
}

VS Code

json
{
  "servers": {
    "search1api": {
      "type": "http",
      "url": "https://mcp.search1api.com/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_SEARCH1API_KEY"
      }
    }
  }
}

Claude Code

bash
claude mcp add --transport http search1api https://mcp.search1api.com/mcp \
  --header "Authorization: Bearer YOUR_SEARCH1API_KEY"

Windsurf

json
{
  "mcpServers": {
    "search1api": {
      "serverUrl": "https://mcp.search1api.com/mcp?apiKey=YOUR_SEARCH1API_KEY"
    }
  }
}

Agent Skill

The Agent Skill has moved to search1api-cli. Install it with:

bash
npm install -g search1api-cli
npx skills add fatwang2/search1api-cli

Local Mode (stdio)

If you prefer to run the server locally, use npx — no cloning required:

json
{
  "mcpServers": {
    "search1api": {
      "command": "npx",
      "args": ["-y", "search1api-mcp"],
      "env": {
        "SEARCH1API_KEY": "YOUR_SEARCH1API_KEY"
      }
    }
  }
}

Tools

search

Search the web using Search1API.

ParameterRequiredDefaultDescription
queryYes-Search query
max_resultsNo10Number of results
search_serviceNogooglegoogle, bing, duckduckgo, yahoo, x, reddit, github, youtube, arxiv, wechat, bilibili, imdb, wikipedia
crawl_resultsNo0Number of results to crawl for full content
include_sitesNo[]Sites to include
exclude_sitesNo[]Sites to exclude
time_rangeNo-day, month, year

news

Search for news articles.

ParameterRequiredDefaultDescription
queryYes-Search query
max_resultsNo10Number of results
search_serviceNobinggoogle, bing, duckduckgo, yahoo, hackernews
crawl_resultsNo0Number of results to crawl for full content
include_sitesNo[]Sites to include
exclude_sitesNo[]Sites to exclude
time_rangeNo-day, month, year

crawl

Extract content from a URL.

ParameterRequiredDescription
urlYesURL to crawl

sitemap

Get all related links from a URL.

ParameterRequiredDescription
urlYesURL to get sitemap

reasoning

Deep thinking and complex problem solving with DeepSeek R1.

ParameterRequiredDescription
contentYesThe question or problem

trending

Get trending topics from popular platforms.

ParameterRequiredDefaultDescription
search_serviceYes-github, hackernews
max_resultsNo10Number of items

Version History

  • v0.3.0: Remote MCP support via Streamable HTTP; per-session API key authentication
  • v0.2.0: Fallback .env support for LibreChat integration
  • v0.1.8: X (Twitter) and Reddit search services
  • v0.1.7: Trending tool for GitHub and Hacker News
  • v0.1.6: Wikipedia search service
  • v0.1.5: New search parameters and services (arxiv, wechat, bilibili, imdb)
  • v0.1.4: Reasoning tool with DeepSeek R1
  • v0.1.3: News search
  • v0.1.2: Sitemap
  • v0.1.1: Web crawling
  • v0.1.0: Initial release

License

MIT

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "search1api": {
      "command": "npx",
      "args": [
        "-y",
        "search1api-mcp"
      ],
      "env": {
        "SEARCH1API_KEY": "YOUR_SEARCH1API_KEY"
      }
    }
  }
}

Use Search1API MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Search1API is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Search1API as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Search1API MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "search1api": {
      "command": "npx",
      "args": [
        "-y",
        "search1api-mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Search1API MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Search1API MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Search1API to help me with this task?
Search1API
Sure. I read it.
Here is what I found using Search1API.

Frequently asked questions

What is the Search1API MCP server used for?

Search1API is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Search1API MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Search1API with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Search1API MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Search1API connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Search1API MCP to TypingMind?

Search1API runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Search1API MCP provide in TypingMind?

Search1API exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Search1API MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Search1API requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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