Klipfolio MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Get Dashboard Details, List Account Clients, List Dashboards, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Klipfolio 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 Klipfolio app connector for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 6 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 Klipfolio. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Klipfolio?"
)
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 Klipfolio MCP Server
Connect your Klipfolio account to any AI agent and manage analytics dashboards through natural conversation.
LlamaIndex agents combine Klipfolio tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Dashboard Browsing — List all dashboards and inspect their layouts
- Klip Management — Browse individual Klips (widgets) with their data and configurations
- Data Sources — List connected data sources and their refresh status
- KPI Monitoring — Access real-time metrics and key performance indicators
The Klipfolio MCP Server exposes 6 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 6 Klipfolio tools available for LlamaIndex
When LlamaIndex connects to Klipfolio through Vinkius, your AI agent gets direct access to every tool listed below — spanning kpi-monitoring, data-visualization, real-time-dashboards, 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 dashboard
List sub-clients
List Klipfolio dashboards
List data source instances
List all individual Klips
Trigger data source refresh
Connect Klipfolio to LlamaIndex via MCP
Follow these steps to wire Klipfolio 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 Klipfolio MCP Server
LlamaIndex provides unique advantages when paired with Klipfolio through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Klipfolio tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Klipfolio tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Klipfolio, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Klipfolio tools were called, what data was returned, and how it influenced the final answer
Klipfolio + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Klipfolio MCP Server delivers measurable value.
Hybrid search: combine Klipfolio real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Klipfolio 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 Klipfolio for fresh data
Analytical workflows: chain Klipfolio queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Klipfolio in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Klipfolio immediately.
"Show all dashboards and the KPIs on the Executive Dashboard."
"List data sources and check if any are failing."
"Show the Marketing Performance dashboard Klips."
Troubleshooting Klipfolio MCP Server with LlamaIndex
Common issues when connecting Klipfolio to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKlipfolio + LlamaIndex FAQ
Common questions about integrating Klipfolio MCP Server with LlamaIndex.