An astronaut overseeing a futuristic data hub

Connect Spider to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Give your agent the ability to crawl the entire web in seconds.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Spider.

  1. 01

    Spider crawl

    This capability crawls entire websites by following internal links. You can set depth and page limits to control how much data your agent pulls.

  2. 02

    Spider scrape

    This capability extracts content from a single URL. It handles JavaScript and anti-bot protection, returning data as Markdown, HTML, or plain text.

  3. 03

    Spider search

    This capability performs a web search and scrapes the results in one go. It combines discovery and extraction into a single request.

Real work

What teams actually run

01

Real-time Knowledge Retrieval

Your agent searches the web to answer questions about current events using fresh data.

02

Competitor Monitoring

You crawl entire competitor websites to track changes in pricing or product offerings.

03

Dataset Building

You scrape thousands of pages to create structured datasets for machine learning.

04

Automated Documentation Analysis

Your agent crawls technical documentation sites to find specific API details.

Automate a task

Put Spider to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Spider works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Spider to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

967ms average. Fast in production.

Spider is checked daily against the live service.

Daily averagePeak 1272ms
Oct 3Today
Fastest day
698ms
Slowest day
1272ms
14-day trend
Stable-4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Spider, so you can see the experience inside your AI.

It does not authenticate your account with Spider. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Spider Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_HkRQy811uAcIjdwDKzB8QPk0TYPSWj05dtnMKf3x/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Spider capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "spider-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_HkRQy811uAcIjdwDKzB8QPk0TYPSWj05dtnMKf3x/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Spider in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Spider owners hand off.

This MCP is built for developers and data professionals who need to feed live web data into AI workflows without managing infrastructure.

  • 01

    AI Engineers

    They use it to feed real-time web context into LLM-based agents.

  • 02

    Data Scientists

    They use it to gather large-scale datasets for training or analysis.

  • 03

    Growth Hackers

    They use it to monitor competitor sites or scrape market intelligence.

FAQ

Questions Spider owners ask.

  • 01

    How fast is the Spider crawling engine?

    The Rust-powered engine can crawl over 100,000 pages per second.

  • 02

    How does it handle websites that block bots?

    It uses built-in stealth mode with fingerprint rotation and residential proxies to bypass anti-bot protections.

  • 03

    What file formats can I get from a scrape?

    You can choose to receive content in Markdown, HTML, or plain text.

  • 04

    Is it faster than other scrapers?

    Yes, it is 10 to 20 times faster than Node.js based scrapers for large-scale crawls.

  • 05

    Do I need to manage my own proxies?

    No, proxy rotation is handled automatically by the MCP.

  • 06

    How is Spider different from Firecrawl?

    Spider is built in Rust and optimized for raw speed and volume. it can crawl 100K+ pages per second, making it 10-20x faster than Firecrawl for large-scale operations. Spider also offers lower per-page costs at high volume, built-in stealth mode with fingerprint rotation, and multiple request modes (HTTP, Smart, Chrome). Firecrawl excels at simplicity and LLM-specific features like JSON extraction.

  • 07

    What output formats does Spider support?

    Spider supports Markdown, HTML, raw HTML, plain text, JSON (structured extraction), screenshots, and PDF output. You can specify the desired format via the return_format parameter in each request.

  • 08

    How does Spider pricing work?

    Spider offers 500 free credits to get started (no credit card required). Paid plans are usage-based with credits consumed per page scraped. The Starter plan begins at $15/month with 12,000 credits. Enterprise plans offer custom pricing with dedicated infrastructure and unlimited concurrency.

Connect Spider to Claude, Cursor, ChatGPT & more