Amplitude 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 Amplitude as an MCP tool provider through 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 Amplitude. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Amplitude?"
)
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 Amplitude MCP Server
Connect your Amplitude account to your AI agent and seamlessly query behavioral data and product analytics using natural language.
LlamaIndex agents combine Amplitude tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- User Activity & Search — Search for specific users and track their detailed event stream to diagnose individual journeys
- Funnels & Conversions — Request step-by-step conversion funnels to identify where users drop off
- Retention — Generate day-over-day retention curves to understand how well features keep users engaged
- Segmentation — Query event counts and uniques over time to see clear adoption trends
- Cohorts — List your behavioral cohorts, view sizes, and request exports for further targeted analysis
- Active Users & Revenue — Instantly pull DAU/WAU/MAU and daily revenue metrics right into your workflow
The Amplitude 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 Amplitude to LlamaIndex via MCP
Follow these steps to integrate the Amplitude 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 Amplitude
Why Use LlamaIndex with the Amplitude MCP Server
LlamaIndex provides unique advantages when paired with Amplitude through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Amplitude tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Amplitude tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Amplitude, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Amplitude tools were called, what data was returned, and how it influenced the final answer
Amplitude + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Amplitude MCP Server delivers measurable value.
Hybrid search: combine Amplitude real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Amplitude 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 Amplitude for fresh data
Analytical workflows: chain Amplitude queries with LlamaIndex's data connectors to build multi-source analytical reports
Amplitude MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Amplitude to LlamaIndex via MCP:
active_users
Start/End as YYYYMMDD. Get Amplitude daily/weekly/monthly active users (DAU/WAU/MAU)
event_segmentation
Pass event name, start/end as YYYYMMDD. Query Amplitude event segmentation
export_events
Amplitude is a product analytics platform. Pass start/end as YYYYMMDDTHH (e.g. 2026010100). Export raw Amplitude event data for a time range
get_cohort
Depending on the backend this may require polling until ready. Request an Amplitude cohort download
get_funnel
Pass comma-separated event names, start/end as YYYYMMDD. Query Amplitude funnel conversion
get_retention
Pass start_event (acquisition), return_event, start/end dates. Start/End should be YYYYMMDD. Query Amplitude retention
get_user_activity
Useful for diagnosing individual user journeys. Get Amplitude user activity stream
list_cohorts
Cohorts group users by behavior. List Amplitude behavioral cohorts
revenue_analysis
Start/End as YYYYMMDD. Get Amplitude revenue analysis by day
search_users
Useful to find specific users before checking their activity. Search Amplitude users by user ID, device ID, or email
Example Prompts for Amplitude in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Amplitude immediately.
"What's our funnel conversion from 'Landing_Page_View' to 'Sign_Up_Success' for the last 3 days?"
"Show the recent user activity for customer email@example.com"
"What is our Daily Active Users (DAU) count since start of the month?"
Troubleshooting Amplitude MCP Server with LlamaIndex
Common issues when connecting Amplitude to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAmplitude + LlamaIndex FAQ
Common questions about integrating Amplitude 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 Amplitude 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 Amplitude to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.