How to integrate Firecrawl MCP with Antigravity

Trusted by
AWS
Glean
Zoom
Airtable

30 min · no commitment · see it on your stack

Firecrawl logo
Antigravity logo
divider

How to integrate Firecrawl MCP with Antigravity

Antigravity IDE is Google's agentic IDE, built on a VS Code-style editor and powered by models like Gemini 3.5 Flash, Gemini 3.1 Pro, Opus 4.6, and more. It treats the AI agent as a first-class teammate, planning, coding, and validating work through an Agent Manager dashboard with deep browser connectivity.

In this guide, I will explain the easiest and most secure way to connect your Firecrawl account to Antigravity IDE via Composio Connect, so it can extract all product prices from this e-commerce site, crawl competitor blogs for latest article summaries, map all subpages linked from homepage URL, and more without ever putting your account credentials at risk.

Also integrate Firecrawl with

Why use Composio?

Composio provides:

  • Access to 1,000+ managed apps from a single MCP endpoint. This makes it convenient for agents to run cross-app workflows.
  • Programmatic tool calling. Allows LLMs to write code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling.
  • Large tool response handling outside the LLM context. This minimizes context bloat from large tool responses.
  • Dynamic just-in-time access to thousands of tools across hundreds of apps. Composio loads the tools your agent needs, so LLMs are not overwhelmed by tools they do not need.

Connect Firecrawl to Antigravity

Antigravity does not ship with one-click custom MCP install links yet, so configuration goes through the IDE's raw config file. The process takes under a minute.

1. Open the MCP Config

Go to Antigravity Settings, open the Customizations tab, then click Open MCP Config to open mcp_config.json in the editor.

Antigravity Customizations settings with Open MCP Config button

2. Get your API key

Go to the Composio Dashboard and copy your API key.

Composio Dashboard showing where to get the API key

3. Add Composio to mcp_config.json

Paste the following configuration into the file:

bash
{
  "mcpServers": {
    "remote-composio": {
      "serverUrl": "https://connect.composio.dev/mcp",
      "headers": {
        "x-consumer-api-key": "your-composio-api-key"
      }
    }
  }
}

Note: Antigravity uses serverUrl, not url, for remote HTTP-based MCP servers. This differs from the url key used in Cursor and VS Code configs.

Save the file and click refresh in the Installed MCP Servers section.

Antigravity showing Composio tools after MCP setup

Connect your Firecrawl account

Back in the Antigravity agent panel, ask the agent to connect to Firecrawl or give it any Firecrawl-related task.

For example, ask it to:

  • "Extract all product prices from this e-commerce site"
  • "Crawl competitor blogs for latest article summaries"
  • "Map all subpages linked from homepage URL"

It will prompt you to authenticate and authorize access to Firecrawl.

That is it. Composio tools are now available in Antigravity, and your Firecrawl account is ready to use.

Supported Tools & Triggers

Tools
Cancel an agent jobTool to cancel an in-progress agent job by its ID.
Batch scrape multiple URLsTool to scrape multiple URLs in batch with concurrent processing.
Cancel a batch scrape jobTool to cancel a running batch scrape job using its unique identifier.
Get batch scrape statusRetrieves the current status and results of a batch scrape job using the job ID.
Get errors from batch scrape jobTool to retrieve error details from a batch scrape job, including failed URLs and URLs blocked by robots.
Start a web crawlInitiates a Firecrawl web crawl from a given URL, applying various filtering and content extraction rules, and polls until the job is complete; ensure the URL is accessible and any regex patterns for paths are valid.
Cancel a crawl jobCancels an active or queued web crawl job using its ID; attempting to cancel completed, failed, or previously canceled jobs will not change their state.
Cancel a crawl jobTool to cancel a running crawl job by its ID.
Get crawl job statusTool to retrieve the status and results of a Firecrawl crawl job.
Get errors from a crawl jobTool to retrieve errors from a Firecrawl crawl job.
Get all active crawl jobsTool to retrieve all active crawl jobs for the authenticated team.
Preview crawl parametersPreview crawl parameters before starting a crawl by generating optimal configuration from natural language instructions.
Start a web crawl (v2) [NEW][NEW v2 API] Initiates a Firecrawl v2 web crawl with enhanced features over v1: natural language prompts for automatic crawler configuration, crawlEntireDomain for sibling/parent page discovery, better depth control with maxDiscoveryDepth, subdomain support, and full webhook configuration.
Get team credit usageTool to get current team credit usage information.
Get historical team credit usageTool to retrieve historical team credit usage on a monthly basis.
Extract structured dataExtracts structured data from web pages by initiating an extraction job and polling for completion; requires a natural language `prompt` or a JSON `schema` (one must be provided).
Get extract job statusTool to retrieve the status and results of a previously submitted extract job.
Get agent job statusTool to get the status and results of an agent job.
Get deep research statusRetrieves the status and results of a deep research job by its ID.
Get the status of a crawl jobRetrieves the current status, progress, and details of a web crawl job, using the job ID obtained when the crawl was initiated.
Generate LLMs.txt for a websiteInitiates an async job to generate an LLMs.
Get LLMs.txt generation job statusTool to get the status and results of an LLMs.
Map multiple URLsMaps a website by discovering URLs from a starting base URL, with options to customize the crawl via search query, subdomain inclusion, sitemap handling, and result limits; search effectiveness is site-dependent.
Get team queue statusTool to retrieve metrics about the team's scrape queue.
Scrape URLScrapes a publicly accessible URL, optionally performing pre-scrape browser actions or extracting structured JSON using an LLM, to retrieve content in specified formats.
SearchPerforms a web search for a query, scrapes content from the top search results using Firecrawl, and returns details in specified formats.
Start an agent jobTool to start an agent job for agentic web extraction with multi-page navigation and interaction capabilities.
Get team token usageTool to retrieve the current team's token usage and balance information for Firecrawl's Extract feature.
Get historical team token usageTool to retrieve historical team token usage on a monthly basis.

Conclusion

You have successfully connected Firecrawl to Antigravity using Composio Connect. Your agent can now use Firecrawl securely without exposing credentials in prompts or local scripts.

How to build Firecrawl MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Firecrawl MCP?

With a standalone Firecrawl MCP server, the agents and LLMs can only access a fixed set of Firecrawl tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Firecrawl and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Antigravity?

Yes, you can. Antigravity fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Firecrawl tools.

Can I manage the permissions and scopes for Firecrawl while using Tool Router?

Yes, absolutely. You can configure which Firecrawl scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Firecrawl data and credentials are handled as safely as possible.

Used by agents from

Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.