Connectto Close MCP Server

Seamlessly integrate your Fireworks AI applications with Close using Klavis AI's comprehensive MCP server connection guide.

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Close is a modern CRM platform built for sales teams, providing powerful lead management, contact organization, and sales pipeline tracking to help businesses close more deals

Available Tools:

  • close_create_lead
  • close_get_lead
  • close_search_leads
  • +20 more tools

Quick Setup Guide

Follow these steps to connect Fireworks AI to this MCP server

1

Create Your Account

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

2

Configure Connections

Add the MCP server 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"))

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

mcp_tools = klavis_client.mcp_server.list_tools(
    server_url=close_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)

messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": user_message}
]

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

Frequently Asked Questions

Everything you need to know about connecting to this MCP server

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