Blueshift MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Blueshift as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Blueshift. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Blueshift?"
)
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 Blueshift MCP Server
Connect your Blueshift account to any AI agent and orchestrate your omnichannel marketing and customer data workflows through natural conversation.
LlamaIndex agents combine Blueshift 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
- Campaign Management — List all marketing campaigns, retrieve detailed execution reports, and monitor high-level performance.
- Customer Data Orchestration — Retrieve and update detailed customer profiles, including custom attributes and identifiers.
- Real-time Event Tracking — Track custom user interactions (purchases, clicks, views) and retrieve event histories for behavior analysis.
- Catalog & Segment Discovery — List all data catalogs and customer segments to ensure accurate targeting.
- Triggered Campaigns — Initiate API-triggered campaigns for specific users directly from your workspace.
The Blueshift 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.
How to Connect Blueshift to LlamaIndex via MCP
Follow these steps to integrate the Blueshift MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Blueshift
Why Use LlamaIndex with the Blueshift MCP Server
LlamaIndex provides unique advantages when paired with Blueshift through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Blueshift tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Blueshift tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Blueshift, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Blueshift tools were called, what data was returned, and how it influenced the final answer
Blueshift + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Blueshift MCP Server delivers measurable value.
Hybrid search: combine Blueshift real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Blueshift 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 Blueshift for fresh data
Analytical workflows: chain Blueshift queries with LlamaIndex's data connectors to build multi-source analytical reports
Blueshift MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Blueshift to LlamaIndex via MCP:
create_update_customer
Create or update a customer profile
get_campaign_detail
Get detailed report for a specific campaign
get_campaign_performance
Get high-level performance summary for all campaigns
get_catalog_items
Retrieve items from a specific catalog
get_customer
Retrieve a customer profile
get_event_history
Get history of events for a user
list_campaigns
List all marketing campaigns
list_catalogs
List all data catalogs
list_segments
List all customer segments
track_event
Track a custom user event
Example Prompts for Blueshift in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Blueshift immediately.
"List all active marketing campaigns in Blueshift."
"Show the profile for customer john@example.com."
"Track a 'purchase' event for user customer_123."
Troubleshooting Blueshift MCP Server with LlamaIndex
Common issues when connecting Blueshift to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBlueshift + LlamaIndex FAQ
Common questions about integrating Blueshift MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Blueshift with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Blueshift to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.