How to Use the Blueshift MCP in LlamaIndex

Index your Blueshift marketing data into LlamaIndex to build agents that query live campaign performance and user history.

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Connect Blueshift MCP to LlamaIndex

Create your Vinkius account to connect Blueshift 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 Blueshift with LlamaIndex

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Index Blueshift data for LlamaIndex

Run `list_catalogs` and `get_catalog_items` to pull your product data into a vector store. LlamaIndex then turns these records into a searchable knowledge base for your agent. Instead of just calling an API, your agent searches your actual catalog. It finds the right items to recommend based on real inventory data.

Ground your answers with MCP Server

Use this MCP Server to feed `get_event_history` results into your index. Your agent no longer guesses user behavior; it queries the actual history stored in your system. This approach eliminates hallucinations by grounding agent responses in hard data. You get precise answers backed by the logs you already collect.

Automate segment queries in LlamaIndex

Fetch current customer segments using `list_segments` and store them in your index. Your LlamaIndex agent can now identify which group a user belongs to before taking action. It makes your marketing automation smarter by providing context before the agent even starts a conversation. You get more accurate targeting with less manual effort.

Setup guide

Set up Blueshift 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 Blueshift 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 Blueshift tools.",
)
response = await agent.run("List recent Blueshift 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 Blueshift. 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.

Why Choose Vinkius

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Common questions about Blueshift MCP in LlamaIndex

You use the specialized tool spec to convert API outputs into indexable format. Once fetched, the data integrates directly into your existing vector stores.

You can refresh your index by re-running the tool calls to pull the latest campaign reports. This ensures your agent is always working with current performance metrics.

It does, allowing you to pull and index specific catalog subsets as needed. You control what data enters your knowledge base to keep your queries efficient.

The connection is managed through a dedicated Vinkius endpoint, ensuring consistent uptime. Your agents will have reliable access to your marketing data whenever they need to query it.

Your event logs remain isolated within the sandbox during the indexing process. We enforce strict access controls so only your authorized agent can search your customer history.

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