Connectto SendGrid, Fireflies MCP Servers

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

SendGrid icon

SendGrid

featured

SendGrid is a cloud-based email delivery platform. Send transactional and marketing emails, manage contacts, track email analytics, handle bounces, and manage templates via OpenAPI integration

Fireflies icon

Fireflies

featured

Fireflies.ai is an AI meeting assistant that automatically records, transcribes, and summarizes your meetings across Zoom, Google Meet, Teams, and other platforms. Extract action items, key insights, and searchable notes from all your conversations.

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"))

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

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

# Get all MCP tools
sendgrid_tools = klavis_client.mcp_server.list_tools(
    server_url=sendgrid_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)
fireflies_tools = klavis_client.mcp_server.list_tools(
    server_url=fireflies_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)

# Combine all tools
all_tools = []
all_tools.extend(sendgrid_tools.tools)
all_tools.extend(fireflies_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

Ready to Get Started?

Join developers who are already using KlavisAI to power their Fireworks AI applications with these MCP servers.

Start For Free