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Drift MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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

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 Drift. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
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About Drift MCP Server

Integrate Drift, the leading conversational marketing and sales platform, directly into your AI workflow. Manage your customer conversations and transcripts, track identified contacts and their profile attributes, monitor agent availability and roles, and oversee your conversational playbooks using natural language.

LlamaIndex agents combine Drift tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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

  • Conversation Oversight — List and retrieve detailed information and full transcripts for all your Drift customer interactions.
  • Contact Intelligence — Monitor identified contacts, their email addresses, custom profile attributes, and organizational accounts.
  • Agent Management — Track real-time agent availability statuses, presence, and organizational roles across your team.
  • Playbook Monitoring — List all configured conversational playbooks (bots) and identify their current activation statuses.

The Drift MCP Server exposes 10 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 Drift to LlamaIndex via MCP

Follow these steps to integrate the Drift MCP Server with LlamaIndex.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 10 tools from Drift

Why Use LlamaIndex with the Drift MCP Server

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

01

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

02

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

03

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

04

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

Drift + LlamaIndex Use Cases

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

01

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

02

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

03

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

04

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

Drift MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Drift to LlamaIndex via MCP:

01

get_contact_profile

Get full profile data and interaction history for a specific contact

02

get_conversation_details

Get detailed information and full transcript for a specific conversation

03

get_drift_platform_metadata

Retrieve metadata for the current authenticated Drift account

04

list_drift_agents

List all registered agents and users in your Drift organization

05

list_drift_contacts

List all contacts synchronized or identified in your Drift account

06

list_drift_conversations

List all active and recent customer conversations in Drift

07

list_drift_playbooks

List all configured conversational playbooks (bots)

08

list_latest_customer_interactions

Identify the most recently updated customer conversations

09

quick_agent_availability_audit

Retrieve a high-level summary of active agent availability statuses

10

search_contacts_by_email

Search for a contact using their email address

Example Prompts for Drift in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Drift immediately.

01

"List all active Drift conversations."

02

"Show me the contact profile for 'robert.brown@example.org'."

03

"Who is currently available to take chats in Drift?"

Troubleshooting Drift MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Drift + LlamaIndex FAQ

Common questions about integrating Drift MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Drift tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Drift to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.