Appcues MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Appcues 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 Appcues. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Appcues?"
)
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 Appcues MCP Server
The Appcues MCP Server empowers your AI agent to interact directly with your Appcues account. Whether you need to audit your current onboarding flows, manage user segments, or track real-time user activity, this integration provides a seamless natural language interface to your product experience platform.
LlamaIndex agents combine Appcues tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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.
Key Features
- Flow Management — List, view, publish, and unpublish flows (in-app experiences) across web and mobile.
- User Segmentation — Retrieve and analyze your targeting segments to understand who is seeing your content.
- Activity Tracking — Send real-time events and profile updates for immediate targeting and personalization.
- Mobile Support — Access specific experiences designed for your mobile applications.
- Auditing & Reporting — Quickly check account status, checklists, and experience metadata.
Benefits for Teams
- Product Managers — Quickly audit which onboarding flows are active and make changes without leaving your AI workspace.
- Growth Engineers — Programmatically track user events to trigger personalized in-app journeys.
- Customer Success — View user profiles and segment membership to provide better support and guidance.
The Appcues MCP Server exposes 11 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 Appcues to LlamaIndex via MCP
Follow these steps to integrate the Appcues 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 11 tools from Appcues
Why Use LlamaIndex with the Appcues MCP Server
LlamaIndex provides unique advantages when paired with Appcues through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Appcues tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Appcues tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Appcues, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Appcues tools were called, what data was returned, and how it influenced the final answer
Appcues + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Appcues MCP Server delivers measurable value.
Hybrid search: combine Appcues real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Appcues 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 Appcues for fresh data
Analytical workflows: chain Appcues queries with LlamaIndex's data connectors to build multi-source analytical reports
Appcues MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Appcues to LlamaIndex via MCP:
get_account_details
Verify Appcues account connection
get_flow
Get details for a specific flow
get_segment
Get details for a specific segment
get_user_profile
Retrieve the profile of a specific user
list_checklists
List all checklists configured in the account
list_flows
List all Appcues flows (experiences) for the account
list_mobile_experiences
List mobile-specific experiences
list_segments
List all user segments defined in Appcues
publish_flow
Publish a draft flow
track_user_activity
Use JSON strings for profileUpdate and events. Track real-time events and profile updates for a user
unpublish_flow
Unpublish an active flow
Example Prompts for Appcues in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Appcues immediately.
"List all my active Appcues flows."
"Track a 'clicked_checkout' event for user 'user_123'."
"Show me the details of the segment with ID '998877'."
Troubleshooting Appcues MCP Server with LlamaIndex
Common issues when connecting Appcues to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAppcues + LlamaIndex FAQ
Common questions about integrating Appcues 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 Appcues 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 Appcues to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.