Connectto Firecrawl Deep Research MCP Server
Seamlessly integrate your OpenAI applications with Firecrawl Deep Research using Klavis AI's comprehensive MCP server connection guide.
Firecrawl Deep Research
featured
A personal research assistant that analyze sources across the web, based on Firecrawl
Available Tools:
- firecrawl_deep_research
Quick Setup Guide
Follow these steps to connect OpenAI to this MCP server
1
Create Your Account
Sign up for KlavisAI to access our MCP server management platform.
2
Configure Connections
Add the MCP server to OpenAI and configure authentication settings.
3
Test & Deploy
Verify your connections work correctly and start using your enhanced AI capabilities.
OpenAI + KlavisAI Integration Snippets
import json
import os
from openai import OpenAI
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat
# Initialize clients
openai_client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
# Constants
OPENAI_MODEL = "gpt-4o-mini"
firecrawl_deep_research_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.FIRECRAWL_DEEP_RESEARCH,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
mcp_tools = klavis_client.mcp_server.list_tools(
server_url=firecrawl_deep_research_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.OPENAI,
)
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": user_message}
]
response = openai_client.chat.completions.create(
model=OPENAI_MODEL,
messages=messages,
tools=mcp_tools if mcp_tools else None
)Frequently Asked Questions
Everything you need to know about connecting to this MCP server
Ready to Get Started?
Join developers who are already using KlavisAI to power their OpenAI applications with this MCP server.
Start For Free