Drift MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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 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.
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 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.
Data-first architecture: LlamaIndex agents combine Drift tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Drift tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Drift, a vector store, and a SQL database in a single turn and synthesize results
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.
Hybrid search: combine Drift real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Drift 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 Drift for fresh data
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:
get_contact_profile
Get full profile data and interaction history for a specific contact
get_conversation_details
Get detailed information and full transcript for a specific conversation
get_drift_platform_metadata
Retrieve metadata for the current authenticated Drift account
list_drift_agents
List all registered agents and users in your Drift organization
list_drift_contacts
List all contacts synchronized or identified in your Drift account
list_drift_conversations
List all active and recent customer conversations in Drift
list_drift_playbooks
List all configured conversational playbooks (bots)
list_latest_customer_interactions
Identify the most recently updated customer conversations
quick_agent_availability_audit
Retrieve a high-level summary of active agent availability statuses
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.
"List all active Drift conversations."
"Show me the contact profile for 'robert.brown@example.org'."
"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.
BasicMCPClient not found
pip install llama-index-tools-mcpDrift + LlamaIndex FAQ
Common questions about integrating Drift MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Drift with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Drift to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
