String AI Web Access MCP Server
Provides web access tools (fetch, search, sitemap crawl) through String AI's API, automatically handling anti-bot bypass, CAPTCHA, and JavaScript rendering.
README
String AI Web Access MCP Server
The official Model Context Protocol (MCP) server for String AI's Web Access API. Connect any MCP-compatible client — VS Code, Cursor, Windsurf, Claude Desktop, and more — to String AI's powerful web access capabilities.
Tools
| Tool | Description |
|---|---|
web_access_fetch |
Fetch any webpage with automatic anti-bot bypass, CAPTCHA handling, and JavaScript rendering |
web_access_search |
Search the web with reliable results — bypasses rate limits and bot protection on search engines |
web_access_sitemap |
Crawl a whole site and map its URLs as an asynchronous job — one tool drives the lifecycle via action |
web_access_sitemap — sitemap crawl jobs
A crawl is a two-phase, asynchronous quote → approve → poll → read job: nothing is crawled or billed until the quote is explicitly approved.
action |
What it does |
|---|---|
submit |
Quote a crawl (url required; maxPages ≤ 10000 default 10, maxDepth ≤ 100 default 2, pathPrefix, budgetUsd, useSitemap optional). Returns jobId + estimatedCostUsd + estimatedPages, status awaiting_approval. |
approve |
Billing consent — starts the crawl. 402 = insufficient funds; 409 partial_state = retry approve. |
status |
Poll progress: awaiting_approval → running (pending/processed) → completed | failed | canceled | token_cap_exceeded; partial_state = retry approve. Returns counts only — URLs come from results. |
results |
Paginated discovered URLs (limit ≤ 5000 default 1000, offset). Durable after completion; per-URL discoveredUrls is only present for ~1h. |
cancel |
Stop a non-terminal job; already-fetched pages stay billed and readable. |
list |
The account's recent crawl jobs (limit ≤ 100 default 20, offset). |
Quick Start
Run with npx
env STRING_AI_API_KEY=your-key npx @usestring/mcp
Install globally
npm install -g @usestring/mcp
STRING_AI_API_KEY=your-key string-ai-mcp
Build from source
git clone https://github.com/usestring/string-ai-mcp.git
cd string-ai-mcp
npm install
npm run build
STRING_AI_API_KEY=your-key node build/index.js
Environment Variables
| Variable | Required | Description |
|---|---|---|
STRING_AI_API_KEY |
Yes | Your String AI API key |
Client Configuration
VS Code
Press Ctrl+Shift+P → Preferences: Open User Settings (JSON) and add:
{
"inputs": [
{
"type": "promptString",
"id": "stringAiKey",
"description": "String AI API Key",
"password": true
}
],
"servers": {
"string-ai": {
"command": "npx",
"args": ["-y", "@usestring/mcp"],
"env": {
"STRING_AI_API_KEY": "${input:stringAiKey}"
}
}
}
}
Or add a .vscode/mcp.json file to share the configuration with your team.
Cursor
Open Settings → Features → MCP Servers → + Add new global MCP server and paste:
{
"mcpServers": {
"string-ai": {
"command": "npx",
"args": ["-y", "@usestring/mcp"],
"env": {
"STRING_AI_API_KEY": "YOUR_API_KEY"
}
}
}
}
Windsurf
Add to ~/.codeium/windsurf/model_config.json:
{
"mcpServers": {
"string-ai": {
"command": "npx",
"args": ["-y", "@usestring/mcp"],
"env": {
"STRING_AI_API_KEY": "YOUR_API_KEY"
}
}
}
}
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"string-ai": {
"command": "npx",
"args": ["-y", "@usestring/mcp"],
"env": {
"STRING_AI_API_KEY": "YOUR_API_KEY"
}
}
}
}
Testing with the MCP Inspector
The MCP Inspector lets you test your server interactively in a browser:
npx @modelcontextprotocol/inspector node build/index.js
Then open http://127.0.0.1:6274, connect via stdio, and try calling each
tool from the UI.
How It Works
┌──────────────────┐ stdio (JSON-RPC) ┌──────────────────┐ HTTPS ┌──────────────────┐
│ VS Code / Cursor │ ◄──────────────────► │ String AI │ ────────► │ String AI │
│ Windsurf / Claude│ │ Web Access MCP │ │ Web Access API │
└──────────────────┘ └──────────────────┘ └──────────────────┘
- The IDE spawns this server as a child process and communicates over stdio.
- When the LLM decides it needs web content, it invokes
web_access_fetchorweb_access_search. - This server forwards the request to String AI's Web Access API (using your API key from the environment) and returns the result to the LLM.
About String AI
String AI provides a powerful web access API that handles proxies, anti-bot measures, and JavaScript rendering automatically. Get your API key at usestring.ai.
License
MIT
Security
Please report security vulnerabilities privately as described in SECURITY.md.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。