Firecrawl MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Cancel Active Crawl, Get Api Usage, Get Crawl Status, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Firecrawl through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Firecrawl app connector for OpenAI Agents SDK is a standout in the Friends Mcp category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 6 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 Firecrawl account to any AI agent and take full control of your web data acquisition and recursive crawling workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 6 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 Vinkius.
What you can do
- Web Scrape Orchestration — Scrape any single URL programmatically into high-fidelity Markdown, excluding boilerplate content like headers and footers automatically
- Recursive Crawling — Programmatically discover and scrape all subpages starting from a root URL to build comprehensive knowledge bases and RAG pipelines
- Site Mapping — Quickly identify all reachable links on a domain without full content extraction to understand website structures and hierarchies
- Visual Capture — Capture full-page screenshots of any URL directly through your agent to maintain a visual record of web data
- Usage Monitoring — Track your Firecrawl credit usage, remaining limits, and active crawl job statuses in real-time
The Firecrawl MCP Server exposes 6 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.
All 6 Firecrawl tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Firecrawl through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-extraction, markdown-conversion, rag-pipelines, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Stop an ongoing crawl
Check Firecrawl credit usage
Check the status of a crawl job
Discover all URLs on a site
Turn a single URL into clean Markdown
Returns a job ID. Recursively crawl a website
Connect Firecrawl to OpenAI Agents SDK via MCP
Follow these steps to wire Firecrawl into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
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
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.
"Turn 'https://stripe.com/docs/api' into clean Markdown."
"Crawl 'https://docs.firecrawl.dev' recursively with a limit of 10 pages."
"Map all internal links for 'https://github.com/vinkius'."
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.