Reportei MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Add Reportei Event, Create Report, Get Client, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Reportei 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 Reportei app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 10 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 Reportei. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Reportei?"
)
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 Reportei MCP Server
Connect your Reportei account to any AI agent and take full control of your digital marketing orchestration and reporting workflows through natural conversation. Reportei provides a premier platform for consolidating metrics from social networks and ad platforms, and this integration allows you to retrieve project metadata, monitor report generation, and log important timeline events directly from your chat interface.
LlamaIndex agents combine Reportei 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
- Project & Client Orchestration — List all managed marketing projects and retrieve detailed client metadata programmatically.
- Report & Analysis Intelligence — Access and monitor generated reports and retrieve detailed performance metadata directly from the AI interface.
- Metric & Performance Tracking — Retrieve real-time data from connected channels like Instagram, Facebook, and Google Ads via natural language.
- Timeline & Event Control — Create and list project timeline events to maintain a comprehensive history of marketing actions and results.
- Operational Monitoring — Track system activity and manage project settings using simple AI commands to ensure your reporting is always optimized.
The Reportei 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.
All 10 Reportei tools available for LlamaIndex
When LlamaIndex connects to Reportei through Vinkius, your AI agent gets direct access to every tool listed below — spanning marketing-analytics, performance-reporting, social-media-metrics, 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.
Add a timeline event
Generate a new analytics report
Get details for a specific client
Get details for a specific report
Get raw metrics data
List all clients
List all connected integrations
List all marketing projects
You can filter by project ID. List generated reports
List timeline events
Connect Reportei to LlamaIndex via MCP
Follow these steps to wire Reportei 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 Reportei MCP Server
LlamaIndex provides unique advantages when paired with Reportei through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Reportei tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Reportei tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Reportei, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Reportei tools were called, what data was returned, and how it influenced the final answer
Reportei + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Reportei MCP Server delivers measurable value.
Hybrid search: combine Reportei real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Reportei 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 Reportei for fresh data
Analytical workflows: chain Reportei queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Reportei in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Reportei immediately.
"List all active marketing projects in my Reportei account."
"Generate a comprehensive marketing report for all social media channels from last month."
"Show me all projects and their connected integrations with data freshness status."
Troubleshooting Reportei MCP Server with LlamaIndex
Common issues when connecting Reportei to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpReportei + LlamaIndex FAQ
Common questions about integrating Reportei MCP Server with LlamaIndex.