Connectto Perplexity MCP Server
Seamlessly integrate your Fireworks AI applications with Perplexity using Klavis AI's comprehensive MCP server connection guide.
Perplexity
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Perplexity is an AI research assistant that provides accurate answers and cites sources
Quick Setup Guide
Follow these steps to connect Fireworks AI 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 Fireworks AI and configure authentication settings.
3
Test & Deploy
Verify your connections work correctly and start using your enhanced AI capabilities.
Fireworks AI + KlavisAI Integration Snippets
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"))
perplexity_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.PERPLEXITY,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
mcp_tools = klavis_client.mcp_server.list_tools(
server_url=perplexity_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
)Frequently Asked Questions
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