Which exact service and endpoints does this utilize?

This integration leverages the highly structured Google People API. It strictly filters and returns core metadata (emails, names, numbers) avoiding unnecessary heavy payloads.

Can it automatically assign new prospects into specific mailing groups?

Certainly. The `create_contact` tool allows passing a specific Group Identifier (which you can discover using `list_contact_groups`). The user will instantly appear in the matching mailing segment.

What happens if I try to list a corporate directory with thousands of interconnected contacts?

The integration is protected by aggressive egress control pagination features out-of-the-box. Your AI agent handles paginated loops automatically and queries intelligent searches to restrict context overhead limits naturally.

Is it possible to manage shared domain profiles or only my personal Gmail connections?

Assuming you are logged in using a Google Workspace suite, the authorization supports cross-referencing domain contacts. Personal Gmail queries apply strict visibility bounding towards individual connections only.

Google Contacts MCP Server for LangChain 9 tools — connect in under 2 minutes

Name: Google Contacts
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Google Contacts through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "google-contacts": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Google Contacts, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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IAMAccess control

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Google Contacts MCP Server

Connect your Google Contacts directory to any AI agent and take full control of your address book and connections through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Google Contacts through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Contact Management — Query, lookup, create, and update contact profiles effortlessly
Group Synchronization — List organizational groups and filter contacts by labels directly from the cloud
Deep Search — Run intelligent lookups by names, emails, and attributes across your entire address book

The Google Contacts MCP Server exposes 9 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Google Contacts to LangChain via MCP

Follow these steps to integrate the Google Contacts MCP Server with LangChain.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from Google Contacts via MCP

Why Use LangChain with the Google Contacts MCP Server

LangChain provides unique advantages when paired with Google Contacts through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Google Contacts MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Google Contacts queries for multi-turn workflows

Google Contacts + LangChain Use Cases

Practical scenarios where LangChain combined with the Google Contacts MCP Server delivers measurable value.

RAG with live data: combine Google Contacts tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Google Contacts, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Google Contacts tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Google Contacts tool call, measure latency, and optimize your agent's performance

Google Contacts MCP Tools for LangChain (9)

These 9 tools become available when you connect Google Contacts to LangChain via MCP:

create_contact

Creates a new contact (connection)

create_contact_group

delete_contact

Deletes a contact

get_contact

Gets the full details of a specific contact

get_contact_group

list_contact_groups

Lists the user's contact groups (or labels)

list_contacts

Lists the user's connections (contacts)

search_contacts

Searches the user's contacts by a query string

update_contact

Must provide an etag obtained from get_contact. Updates an existing contact

Example Prompts for Google Contacts in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Google Contacts immediately.

"Search my contacts for John Doe and give me his phone number."

"Create a new contact named Alice Smith with email alice@example.com"

"List all organizational contact groups available."

Troubleshooting Google Contacts MCP Server with LangChain

Common issues when connecting Google Contacts to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Google Contacts + LangChain FAQ

Common questions about integrating Google Contacts MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.