How to Use the TrueReview MCP in LlamaIndex

Q: How does LlamaIndex use TrueReview data for RAG?

LlamaIndex ingests the output from MCP tools (like getreportsummary) and turns it into semantic chunks. When you query, the system retrieves context directly from this indexed API data, making answers highly accurate.

Q: Can I query historical TrueReview campaigns using LlamaIndex?

Yes. You can index past results obtained from listcampaigns. This lets your agent search through records and find details about old or archived review initiatives.

Q: Does LlamaIndex handle large sets of TrueReview contacts?

Yes. You can pull data using listcontacts and pass those results to be included in your resource index, allowing you to query thousands of records efficiently.

Ground your AI answers in TrueReview data using LlamaIndex; build searchable review intelligence.

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Connect TrueReview MCP to LlamaIndex

Create your Vinkius account to connect TrueReview to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup TrueReview with LlamaIndex

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Creating Searchable Contact Indexes

After running a list of contacts via `list_contacts`, the resulting JSON output can be indexed. This means you don't just get a list; you build a searchable knowledge base around that data. The developer combines live API results with documents, allowing your agent to answer questions like 'What was the status of this contact?' using the index.

Review Campaign Querying

You can run `list_campaigns` and then index the returned data. Later, if you query your knowledge base, LlamaIndex finds answers grounded in those specific campaign details. This prevents hallucination; instead of guessing, the agent cites the exact MCP Server output from when the campaigns were listed.

Comprehensive Location Data Retrieval

The `list_locations` tool provides structured data about all business sites. By indexing this information, you can build a unified index combining location details with internal operational documents. Your agent then queries the combined knowledge base to answer complex questions about site management.

Setup guide

Set up TrueReview MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all TrueReview MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to TrueReview tools.",
)
response = await agent.run("List recent TrueReview data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TrueReview. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about TrueReview MCP in LlamaIndex

LlamaIndex ingests the output from MCP tools (like `get_report_summary`) and turns it into semantic chunks. When you query, the system retrieves context directly from this indexed API data, making answers highly accurate.

Yes. You can index past results obtained from `list_campaigns`. This lets your agent search through records and find details about old or archived review initiatives.

The MCP Server provides live API responses, which LlamaIndex then indexes. The resulting answers are grounded in this verifiable source data, not general knowledge or assumptions.

The server deals mainly with customer contact records and location details. These structured resources are what get indexed into the vector store for later querying.

Yes. You can pull data using `list_contacts` and pass those results to be included in your resource index, allowing you to query thousands of records efficiently.

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