LangChain MCP Adapters: Building Production-Ready AI Agents with Unified Tool Access

pip install langchain-mcp-adapters langgraph langchain-openai klavis

import os
os.environ["OPENAI_API_KEY"] = "your_openai_api_key"
os.environ["KLAVIS_API_KEY"] = "your_klavis_api_key"

from klavis import Klavis
from klavis.types import McpServerName
import webbrowser

klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

response = klavis_client.mcp_server.create_strata_server(
    servers=[McpServerName.GMAIL, McpServerName.SLACK], 
    user_id="demo_user_123"
)

# OAuth authorization handled automatically
if response.oauth_urls:
    for server_name, oauth_url in response.oauth_urls.items():
        webbrowser.open(oauth_url)

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

llm = ChatOpenAI(model="gpt-5")

mcp_client = MultiServerMCPClient({
    "strata": {
        "transport": "streamable_http",
        "url": response.strata_server_url
    }
})

tools = asyncio.run(mcp_client.get_tools())
agent = create_react_agent(llm, tools)

# Execute complex workflow
response = asyncio.run(agent.ainvoke({
    "messages": [{
        "role": "user", 
        "content": "Check my latest 5 emails and summarize them in Slack #general"
    }]
}))

# Create unified MCP server with customer support tools
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

response = klavis_client.mcp_server.create_strata_server(
    servers=[
        McpServerName.SALESFORCE,  # Customer records
        McpServerName.ZENDESK,     # Ticket system
        McpServerName.SLACK        # Team notifications
    ],
    user_id="support_agent_001"
)

# Build intelligent support agent
agent = create_react_agent(llm, tools)

# Agent workflow
ticket_response = await agent.ainvoke({
    "messages": [{
        "role": "user",
        "content": """
        Customer ticket #12345 reports login issues.
        1. Check Salesforce for customer account status
        2. Review recent tickets in Zendesk for similar issues
        3. If account is locked or has billing issues, notify #support-escalation on Slack
        4. Generate response with account details and resolution steps
        """
    }]
})

# Multi-service DevOps agent
response = klavis_client.mcp_server.create_strata_server(
    servers=[
        McpServerName.GITHUB,
        McpServerName.PAGERDUTY,
        McpServerName.SLACK,
        McpServerName.CLOUDFLARE
    ],
    user_id="devops_team"
)

agent = create_react_agent(llm, tools)

# Automated incident response
incident_response = await agent.ainvoke({
    "messages": [{
        "role": "user",
        "content": """
        PagerDuty alert: API response time >5s on production.
        1. Check recent GitHub commits to api-service repository
        2. Review Cloudflare analytics for traffic patterns
        3. Post incident summary to #incidents Slack channel
        4. Create GitHub issue with diagnostic data
        5. Suggest rollback if recent deployment detected
        """
    }]
})

# Sales intelligence agent
response = klavis_client.mcp_server.create_strata_server(
    servers=[
        McpServerName.SALESFORCE,   # CRM
        McpServerName.GMAIL,         # Email history
        McpServerName.HUBSPOT,       # Marketing data
        McpServerName.FIRECRAWL_WEB_SEARCH  # Web research
    ],
    user_id="sales_rep_042"
)

agent = create_react_agent(llm, tools)

# Automated lead enrichment
lead_analysis = await agent.ainvoke({
    "messages": [{
        "role": "user",
        "content": """
        New lead: xxxxxx@techcorp.com from TechCorp
        1. Search web for TechCorp recent news and funding
        2. Check Gmail for any previous communication history
        3. Query Salesforce for existing TechCorp contacts
        4. Check HubSpot for TechCorp website activity
        5. Draft personalized outreach email based on findings
        """
    }]
})

Hi John,

I hope this email finds you well.

I saw the recent news about TechCorp's Series B funding – congratulations to you and the team on that significant milestone. It sounds like you're in a period of exciting growth, especially with your expansion into the APAC market.

I'm reaching out because I noticed someone from TechCorp spent some time on our pricing and integration pages on HubSpot yesterday. My understanding from your LinkedIn profile is that you oversee the new market expansion initiatives, and I imagine that scaling your team's operational efficiency is a top priority for you right now.
I also saw in our system that my colleague, Jane Doe, had a brief conversation with Sarah Jenkins from your product team a few months ago.

Given your focus on expansion, I thought you might be interested in how we've helped other SaaS companies like [Similar Customer 1] and [Similar Customer 2] streamline their workflows by up to 30% during periods of rapid growth.

Would you be open to a brief 15-minute chat next week to explore how [Your Company Name] might be able to support TechCorp's goals?

Best regards,
[Your Name]
[Your Title]