Connectto Jira, Gong, Gmail MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Jira, Gong, Gmail with Claude's advanced reasoning capabilities in Klavis AI.

Jira icon

Jira

featured

Jira is a project management and issue tracking tool developed by Atlassian

Available Tools:

  • jira_search
  • jira_get_issue
  • jira_search_fields
  • +11 more tools
Gong icon

Gong

featured

Gong is a revenue intelligence platform that captures and analyzes all revenue-related interactions to help sales teams close more deals. It provides conversation analytics, deal insights, and sales performance tracking through call recordings and transcripts

Available Tools:

  • gong_get_transcripts_by_user
  • gong_get_extensive_data
  • gong_get_call_transcripts
  • +2 more tools
Gmail icon

Gmail

featured

Gmail is a free email service provided by Google

Available Tools:

  • send_email
  • draft_email
  • read_email
  • +5 more tools

Quick Setup Guide

Follow these steps to connect Claude to these MCP servers

1

Create Your Account

Sign up for KlavisAI to access our MCP server management platform and get your API keys.

2

Configure Connections

Add your desired MCP servers to Claude and configure authentication settings with your Anthropic API key.

3

Test & Deploy

Verify your connections work correctly with Claude's function calling and start using your enhanced AI capabilities.

Claude + KlavisAI Integration Snippets

import os
import json
from anthropic import Anthropic
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat

# Initialize clients
anthropic_client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

# Constants
CLAUDE_MODEL = "claude-3-5-sonnet-20241022"
user_message = "Your message here"

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

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

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

# Get tools from all MCP servers
jira_tools = klavis_client.mcp_server.list_tools(
    server_url=jira_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.ANTHROPIC,
)
gong_tools = klavis_client.mcp_server.list_tools(
    server_url=gong_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.ANTHROPIC,
)
gmail_tools = klavis_client.mcp_server.list_tools(
    server_url=gmail_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.ANTHROPIC,
)

# Combine all tools
all_tools = []
all_tools.extend(jira_tools.tools)
all_tools.extend(gong_tools.tools)
all_tools.extend(gmail_tools.tools)

messages = [
    {"role": "user", "content": user_message}
]
        
response = anthropic_client.messages.create(
    model=CLAUDE_MODEL,
    max_tokens=4000,
    messages=messages,
    tools=all_tools
)

Frequently Asked Questions

Everything you need to know about connecting Claude to these MCP servers

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