TrueReview MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Create Contact, Get Contact, Get Report Summary, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TrueReview 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 TrueReview app connector for LlamaIndex is a standout in the Customer Support category — giving your AI agent 7 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 TrueReview. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in TrueReview?"
)
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 TrueReview MCP Server
Connect your TrueReview reputation management account to any AI agent and simplify how you collect customer feedback, manage review requests, and monitor your business rating through natural conversation.
LlamaIndex agents combine TrueReview tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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
- Contact Management — List and create customer records specifically for review and feedback targeting.
- Review Requests — Trigger instant review requests via SMS or Email for your customers directly via AI commands.
- Campaign Tracking — List available drip campaigns and review sequences to manage your outreach strategy.
- Performance Reporting — Retrieve summary reports of your review performance and feedback metrics to measure customer satisfaction.
- Location Oversight — List and manage business locations to ensure consistent reputation management across your organization.
- Contact Insights — Fetch detailed metadata and history for individual customer contacts.
The TrueReview MCP Server exposes 7 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 7 TrueReview tools available for LlamaIndex
When LlamaIndex connects to TrueReview through Vinkius, your AI agent gets direct access to every tool listed below — spanning reputation-management, customer-feedback, testimonials, 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.
Create a new customer contact
Get details for a specific contact
Get a summary report of reviews
List all review campaigns
List all contacts for the location
List all business locations
Send a review request to a customer
Connect TrueReview to LlamaIndex via MCP
Follow these steps to wire TrueReview 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 TrueReview MCP Server
LlamaIndex provides unique advantages when paired with TrueReview through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine TrueReview tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain TrueReview tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query TrueReview, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what TrueReview tools were called, what data was returned, and how it influenced the final answer
TrueReview + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the TrueReview MCP Server delivers measurable value.
Hybrid search: combine TrueReview real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query TrueReview 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 TrueReview for fresh data
Analytical workflows: chain TrueReview queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for TrueReview in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with TrueReview immediately.
"List all contacts in my TrueReview account."
"Send an email review request to 'John Miller' (ID: 10293)."
"Show me a summary of my recent reviews."
Troubleshooting TrueReview MCP Server with LlamaIndex
Common issues when connecting TrueReview to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTrueReview + LlamaIndex FAQ
Common questions about integrating TrueReview MCP Server with LlamaIndex.