Connectto Metabase, Fathom MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Metabase, Fathom for enhanced automation capabilities in Klavis AI.

Metabase icon

Metabase

coming soon

Metabase is an open-source business intelligence tool. Create dashboards, run queries, visualize data, share insights, and manage collections via OpenAPI integration

Fathom icon

Fathom

featured

Fathom is an AI meeting assistant that records, transcribes, and summarizes your video calls. Automatically capture meeting notes, action items, and key insights from Zoom, Google Meet, and Microsoft Teams meetings

Quick Setup Guide

Follow these steps to connect Together AI to these MCP servers

1

Create Your Account

Sign up for KlavisAI to access our MCP server management platform.

2

Configure Connections

Add your desired MCP servers to Together AI and configure authentication settings.

3

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,
)

fathom_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.FATHOM,
    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,
)
fathom_tools = klavis_client.mcp_server.list_tools(
    server_url=fathom_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(fathom_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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