> **Building with AI coding agents?** Install the authstack plugin with one command. This equips your agent with accurate Scalekit implementation patterns.
>
> **Recommended**:
> ```bash
> npx @scalekit-inc/cli setup
> ```
>
> Global:
> ```bash
> npm install -g @scalekit-inc/cli
> scalekit setup
> ```
>
> Supports Claude Code, Cursor, GitHub Copilot, Codex + skills for 40+ agents.
> Skills: integrating-agentkit, implementing-saaskit, adding-mcp-oauth, implementing-modular-sso, implementing-scim-provisioning.
> [Full setup guide](https://docs.scalekit.com/dev-kit/build-with-ai/)

---

# Firecrawl MCP connector

1. ### Install the SDK

   ```bash frame="terminal"
       npm install @scalekit-sdk/node
       ```
     ```bash frame="terminal"
       pip install scalekit
       ```
     Full SDK reference: [Node.js](/agentkit/sdks/node/) | [Python](/agentkit/sdks/python/)

2. ### Set your credentials

   <AgentKitCredentials />

3. ### Set up the connector

   Register your Firecrawl MCP credentials with Scalekit so it can authenticate requests on your behalf. You do this once per environment.

   <details>
   <summary>Dashboard setup steps</summary>

   <SetupFirecrawlmcpSection />

   </details>

4. ### Make your first call

   <QuickstartGenericApikeySection connector="firecrawlmcp" toolName="firecrawlmcp_firecrawl_browser_list" providerName="Firecrawl MCP" />

## What you can do

Connect this agent connector to let your agent:

- **Search firecrawl research, firecrawl developer** — Search research paper metadata and abstracts across biomedical, life-science, clinical, and arXiv sources by natural-language query
- **Papers firecrawl research related** — Find citation-graph related papers (similar, citing, or referenced) for one to ten seed paper IDs
- **Read firecrawl research** — Retrieve in-body passages from an indexed research paper relevant to a specific question
- **Paper firecrawl research inspect** — Retrieve canonical metadata (title, abstract, authors, categories, dates) for one research paper by arXiv, PMC, PMID, or DOI identifier
- **Parse firecrawl** — Parse a local or uploaded document (PDF, Word, RTF, OpenDocument, spreadsheet, or HTML) into markdown, HTML, links, summary, targeted answers, or JSON matching a schema
- **Feedback firecrawl** — Submit concise quality feedback (rating, issues, tags, notes) for a completed search, scrape, parse, or map job

## Common workflows

<SectionAfterSetupFirecrawlmcpCommonWorkflows />

## Tool list

Use the exact tool names from the **Tool list** below when you call `execute_tool`. If you're not sure which name to use, list the tools available for the current user first.

<ToolList tools={tools} />

---

## More Scalekit documentation

| Resource | What it contains | When to use it |
|----------|-----------------|----------------|
| [/llms.txt](/llms.txt) | Structured index with routing hints per product area | Start here — find which documentation set covers your topic before loading full content |
| [/llms-full.txt](/llms-full.txt) | Complete documentation for all Scalekit products in one file | Use when you need exhaustive context across multiple products or when the topic spans several areas |
| [sitemap-0.xml](https://docs.scalekit.com/sitemap-0.xml) | Full URL list of every documentation page | Use to discover specific page URLs you can fetch for targeted, page-level answers |