Northbeam 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 Northbeam 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 Northbeam. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Northbeam?"
)
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 Northbeam MCP Server
Connect your Northbeam account to your AI agent and gain deep insights into your marketing performance and attribution data through natural conversation.
LlamaIndex agents combine Northbeam 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
- Metric Discovery — List all available performance metrics such as Attributed Revenue, Transactions, and Spend.
- Data Breakdowns — Access the labels used to group your data, including Platform, Campaign, Ad Set, and more.
- Attribution Modeling — View supported attribution models to understand how credit is assigned across touchpoints.
- Programmatic Exports — Initialize new data exports for specific date ranges and sets of metrics.
- Export Monitoring — Track the status of your active data exports and retrieve direct download URLs for results.
- Workspace Oversight — Monitor active webhooks, scheduled recurring exports, and recent export history.
- Account Insights — Access high-level configuration, dashboard settings, and authenticated account metadata.
The Northbeam 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 Northbeam to LlamaIndex via MCP
Follow these steps to integrate the Northbeam 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 Northbeam
Why Use LlamaIndex with the Northbeam MCP Server
LlamaIndex provides unique advantages when paired with Northbeam through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Northbeam tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Northbeam tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Northbeam, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Northbeam tools were called, what data was returned, and how it influenced the final answer
Northbeam + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Northbeam MCP Server delivers measurable value.
Hybrid search: combine Northbeam real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Northbeam 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 Northbeam for fresh data
Analytical workflows: chain Northbeam queries with LlamaIndex's data connectors to build multi-source analytical reports
Northbeam MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Northbeam to LlamaIndex via MCP:
create_data_export
Initialize a new data export
get_account_info
Get account metadata
get_dashboard_settings
Get workspace dashboard settings
get_export_status
Check data export status
list_attribution_models
g., Clicks only, Modeled). List supported attribution models
list_breakdowns
g., Platform, Campaign, Ad Set) in attribution reports. List available data breakdowns
list_metrics
g., Attributed Revenue, Transactions, Spend) available for export. List available attribution metrics
list_recent_exports
List recently completed exports
list_scheduled_exports
List scheduled data exports
list_webhooks
List active webhooks
Example Prompts for Northbeam in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Northbeam immediately.
"List all the performance metrics available for export in my Northbeam account."
"Check the status of data export ID 'exp_12345'."
"Show me my recent data export history."
Troubleshooting Northbeam MCP Server with LlamaIndex
Common issues when connecting Northbeam to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNorthbeam + LlamaIndex FAQ
Common questions about integrating Northbeam 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 Northbeam 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 Northbeam to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.