Seamlessly integrate your Fireworks AI applications with Supabase using Klavis AI's comprehensive MCP server connection guide.
Supabase official MCP Server
Follow these steps to connect Fireworks AI to this MCP server
Sign up for KlavisAI to access our MCP server management platform.
Add the MCP server to Fireworks AI and configure authentication settings.
Verify your connections work correctly and start using your enhanced AI capabilities.
import os
import json
from fireworks.client import Fireworks
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat
# Initialize clients
fireworks_client = Fireworks(api_key=os.getenv("FIREWORKS_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
supabase_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.SUPABASE,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
mcp_tools = klavis_client.mcp_server.list_tools(
server_url=supabase_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 = fireworks_client.chat.completions.create(
model="accounts/fireworks/models/llama-v3p1-70b-instruct",
messages=messages,
tools=mcp_tools.tools
)
Everything you need to know about connecting to this MCP server
Join developers who are already using KlavisAI to power their Fireworks AI applications with this MCP server.
Start For Free