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 LlamaIndex 9 tools — connect in under 2 minutes

Name: Google Contacts
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Google Contacts as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Google Contacts. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Google Contacts?"
    )
    print(response)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

LlamaIndex agents combine Google Contacts tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Google Contacts

Why Use LlamaIndex with the Google Contacts MCP Server

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

Data-first architecture: LlamaIndex agents combine Google Contacts tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Google Contacts tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Google Contacts, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Google Contacts tools were called, what data was returned, and how it influenced the final answer

Google Contacts + LlamaIndex Use Cases

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

Hybrid search: combine Google Contacts real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Google Contacts to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Google Contacts for fresh data

Analytical workflows: chain Google Contacts queries with LlamaIndex's data connectors to build multi-source analytical reports

Google Contacts MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Google Contacts to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Google Contacts + LlamaIndex FAQ

Common questions about integrating Google Contacts MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Google Contacts tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.