Firecrawl MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Firecrawl through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Firecrawl Assistant",
instructions=(
"You help users interact with Firecrawl. "
"You have access to 4 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Firecrawl"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Firecrawl MCP Server
Connect your AI agent to Firecrawl — the most popular web scraping API built specifically for AI and LLM applications.
The OpenAI Agents SDK auto-discovers all 4 tools from Firecrawl through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Firecrawl, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Scrape Pages — Extract clean Markdown from any URL. Firecrawl handles JavaScript rendering, anti-bot protection, cookie banners, and dynamic content automatically
- Search the Web — Search and scrape in one call. Get Google-like search results with full page content already extracted
- Crawl Websites — Recursively crawl entire sites, following internal links. Perfect for indexing documentation, blogs, or product catalogs
- Map Sites — Discover all URLs on a domain without scraping content. Understand site structure before deciding what to extract
The Firecrawl MCP Server exposes 4 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Firecrawl to OpenAI Agents SDK via MCP
Follow these steps to integrate the Firecrawl MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 4 tools from Firecrawl
Why Use OpenAI Agents SDK with the Firecrawl MCP Server
OpenAI Agents SDK provides unique advantages when paired with Firecrawl through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Firecrawl + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Firecrawl MCP Server delivers measurable value.
Automated workflows: build agents that query Firecrawl, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Firecrawl, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Firecrawl tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Firecrawl to resolve tickets, look up records, and update statuses without human intervention
Firecrawl MCP Tools for OpenAI Agents SDK (4)
These 4 tools become available when you connect Firecrawl to OpenAI Agents SDK via MCP:
crawl_site
Each page is scraped and converted to Markdown. Returns a job ID to track progress. Crawl an entire website and extract content from multiple pages. Returns a job ID for async tracking
map_site
Useful for understanding site architecture before deciding which pages to scrape. Discover all URLs on a website without scraping content. Returns a sitemap of discovered links
scrape_page
Handles anti-bot protection, cookie banners, and dynamic content automatically. Scrape a single web page and extract its content as clean Markdown. Perfect for reading articles, documentation, and product pages
search_web
Ideal for research, fact-checking, and gathering information on any topic. Search the web and return scraped content from the top results. Combines Google-like search with automatic content extraction
Example Prompts for Firecrawl in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Firecrawl immediately.
"Scrape the main page of docs.firecrawl.dev and give me a summary of what Firecrawl offers."
"Search the web for 'best practices for RAG pipelines 2026' and return the top 3 results with content."
"Map all pages on example.com to see the site structure."
Troubleshooting Firecrawl MCP Server with OpenAI Agents SDK
Common issues when connecting Firecrawl to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Firecrawl + OpenAI Agents SDK FAQ
Common questions about integrating Firecrawl MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Firecrawl with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Firecrawl to OpenAI Agents SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.