Connectto Airtable, PostHog MCP Servers

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

Airtable icon

Airtable

featured

Airtable is a cloud-based database and spreadsheet platform that combines the flexibility of a spreadsheet with the power of a database, enabling teams to organize, track, and collaborate on projects with customizable views and powerful automation features

Available Tools:

  • airtable_list_bases_info
  • airtable_list_tables_info
  • airtable_create_table
  • +8 more tools
PostHog icon

PostHog

featured

PostHog is an open-source product analytics platform. Track events, analyze user behavior, run experiments, manage feature flags, and generate insights via OpenAPI integration

Quick Setup Guide

Follow these steps to connect Fireworks 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 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"))

airtable_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.AIRTABLE,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

posthog_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.POSTHOG,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

# Get all MCP tools
airtable_tools = klavis_client.mcp_server.list_tools(
    server_url=airtable_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)
posthog_tools = klavis_client.mcp_server.list_tools(
    server_url=posthog_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)

# Combine all tools
all_tools = []
all_tools.extend(airtable_tools.tools)
all_tools.extend(posthog_tools.tools)

messages = [
    {"role": "system", "content": "You are a helpful assistant with access to multiple data sources."},
    {"role": "user", "content": user_message}
]

response = fireworks_client.chat.completions.create(
    model="accounts/fireworks/models/llama-v3p1-70b-instruct",
    messages=messages,
    tools=all_tools
)

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

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