Pendo MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Get Pendo Account Details, Get Pendo Guide Details, Get Pendo Visitor Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Pendo 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 App Connector for LlamaIndex
The Pendo app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Pendo. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Pendo?"
)
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 Pendo MCP Server
Connect your Pendo account to any AI agent and take full control of your product orchestration and user engagement through natural conversation. Pendo provides a world-class platform for understanding how users interact with your software, and this integration allows you to retrieve usage metadata, manage in-app guides, and run complex aggregations directly from your chat interface.
LlamaIndex agents combine Pendo 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.
What you can do
- Usage & Analytics Orchestration — Run powerful aggregations programmatically to understand feature adoption and user behavior via natural language.
- Metadata & Profile Control — Update custom visitor and account metadata directly from the AI interface to ensure your CRM and success data are always synchronized.
- Guide Lifecycle Management — List all managed guides and retrieve detailed metadata to maintain a clear overview of your in-app messaging strategy.
- Feature & Page Intelligence — Access and monitor tagged features and pages to track engagement and identify bottlenecks using simple AI commands.
- Operational Monitoring — Track system responses and manage regional data centers (US, EU, JPN, AU) to ensure your analytics pipeline is always optimized.
The Pendo 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.
All 11 Pendo tools available for LlamaIndex
When LlamaIndex connects to Pendo through Vinkius, your AI agent gets direct access to every tool listed below — spanning product-analytics, user-behavior, in-app-guides, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get details for a specific account
Get details for a specific guide
Get details for a specific visitor
List tagged features
List all in-app guides
List tagged pages
List all analytics reports
List all user segments
Perform complex analytics and grouping
Update custom account metadata
Update custom visitor metadata
Connect Pendo to LlamaIndex via MCP
Follow these steps to wire Pendo into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Pendo MCP Server
LlamaIndex provides unique advantages when paired with Pendo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Pendo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Pendo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Pendo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Pendo tools were called, what data was returned, and how it influenced the final answer
Pendo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Pendo MCP Server delivers measurable value.
Hybrid search: combine Pendo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Pendo 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 Pendo for fresh data
Analytical workflows: chain Pendo queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Pendo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Pendo immediately.
"List all active in-app guides in my Pendo account."
"Show me the feature adoption analytics for the new dashboard module launched last month."
"List all active in-app guides and their completion metrics."
Troubleshooting Pendo MCP Server with LlamaIndex
Common issues when connecting Pendo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPendo + LlamaIndex FAQ
Common questions about integrating Pendo MCP Server with LlamaIndex.