Connectto Vercel, Fathom MCP Servers

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

Vercel icon

Vercel

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Vercel is a cloud platform for static sites and serverless functions that enables developers to host websites and web services. Deploy projects, manage domains, configure environment variables, and monitor deployments with ease

Fathom icon

Fathom

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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 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"))

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

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

# Get all MCP tools
vercel_tools = klavis_client.mcp_server.list_tools(
    server_url=vercel_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(vercel_tools.tools)
all_tools.extend(fathom_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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