Connectto Metabase, ServiceNow MCP Servers
Create powerful AI workflows by connecting multiple MCP servers including Metabase, ServiceNow for enhanced automation capabilities in Klavis AI.
Metabase
Metabase is an open-source business intelligence tool. Create dashboards, run queries, visualize data, share insights, and manage collections via OpenAPI integration
ServiceNow
ServiceNow is a cloud-based software platform that helps companies manage and automate digital workflows for their enterprise operations, particularly in IT, human resources, and customer service.
Quick Setup Guide
Follow these steps to connect Together AI to these MCP servers
Create Your Account
Sign up for KlavisAI to access our MCP server management platform.
Configure Connections
Add your desired MCP servers to Together AI and configure authentication settings.
Test & Deploy
Verify your connections work correctly and start using your enhanced AI capabilities.
Together AI + KlavisAI Integration Snippets
import os
import json
from together import Together
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat
# Initialize clients
together_client = Together(api_key=os.getenv("TOGETHER_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
metabase_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.METABASE,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
servicenow_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.SERVICENOW,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
# Get all MCP tools
metabase_tools = klavis_client.mcp_server.list_tools(
server_url=metabase_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.OPENAI,
)
servicenow_tools = klavis_client.mcp_server.list_tools(
server_url=servicenow_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.OPENAI,
)
# Combine all tools
all_tools = []
all_tools.extend(metabase_tools.tools)
all_tools.extend(servicenow_tools.tools)
messages = [
{"role": "system", "content": "You are a helpful AI assistant with access to multiple data sources."},
{"role": "user", "content": user_message}
]
response = together_client.chat.completions.create(
model="meta-llama/Llama-2-70b-chat-hf",
messages=messages,
tools=all_tools
)Frequently Asked Questions
Everything you need to know about connecting to these MCP servers
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