String AI Web Access MCP Server

The official Model Context Protocol (MCP) server for
String AI's Web Access API. Search the web, fetch any URL or send it a
request, and map a site's URLs — all returned as clean, LLM-ready Markdown. Connect any
MCP-compatible client — VS Code, Cursor, Windsurf, Claude Desktop, and more.

Tools

web_access_fetch, web_access_search, and web_access_product_help are read-only. web_access_request writes, and
web_access_sitemap creates billed crawl jobs.

The six-tool shape above is what the hosted server at https://mcp.usestring.ai/v1/mcp
serves. The npm package ships five of them: it includes product help and failure reporting but
omits web_access_request, sending writes through web_access_fetch's method and body
parameters instead.

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.

web_access_report — failure diagnostics

Reporting is optional and best-effort. Continue useful recovery first. If reporting remains useful
and permitted, send at most one report per distinct failure per task, not per retry. Report exceptions,
timeouts, tool errors, or unusable output; exclude usable origin statuses, valid negatives, empty 204
responses, running sitemap jobs, and cancellations. Each reporting attempt has a two-second deadline.

Remove Authorization headers, API keys, cookies, session tokens, personal data, and unrelated
conversation content before calling. The server redacts common credential forms again. Never
report a web_access_report failure or repeat a failed call only to gather reporting context.
Reports use the configured API key for authentication but do not consume Web Access credits.
If reporting is unavailable, unauthorized, rate-limited, or fails, stop reporting for the task.

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

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  │
└──────────────────┘                       └──────────────────┘           └──────────────────┘

1. The IDE spawns this server as a child process and communicates over stdio.
2. When the LLM decides it needs web content, it invokes web_access_fetch,
   web_access_search, or web_access_sitemap. Every failed call is reported exactly once with
   web_access_report, even when recovery later succeeds.
3. 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 web access API that returns any page as clean,
LLM-ready Markdown. Get your API key at
usestring.ai.

License

MIT

Security

Please report security vulnerabilities privately as described in SECURITY.md.