Delta Projects 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 Delta Projects 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 MCP SERVER
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 Delta Projects. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Delta Projects?"
)
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 Delta Projects MCP Server
Integrate Delta Projects, the efficient programmatic advertising platform, directly into your AI workflow. Manage your digital ad campaigns, monitor real-time performance and budgets, and audit your ad creatives and placements using natural language.
LlamaIndex agents combine Delta Projects 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 Oversight — List and retrieve detailed settings and performance metrics for all your ad campaigns.
- Performance Reporting — Retrieve custom reports on impressions, clicks, and conversions across various dimensions.
- Creative Auditing — List and review all ad creatives (banners, videos) uploaded to the platform.
- Placement & Audience Insights — Monitor media placements and explore target audiences available for your campaigns.
The Delta Projects 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 Delta Projects to LlamaIndex via MCP
Follow these steps to integrate the Delta Projects 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 Delta Projects
Why Use LlamaIndex with the Delta Projects MCP Server
LlamaIndex provides unique advantages when paired with Delta Projects through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Delta Projects tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Delta Projects tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Delta Projects, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Delta Projects tools were called, what data was returned, and how it influenced the final answer
Delta Projects + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Delta Projects MCP Server delivers measurable value.
Hybrid search: combine Delta Projects real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Delta Projects 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 Delta Projects for fresh data
Analytical workflows: chain Delta Projects queries with LlamaIndex's data connectors to build multi-source analytical reports
Delta Projects MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Delta Projects to LlamaIndex via MCP:
get_campaign_performance
Get detailed settings and performance metrics for a specific campaign
get_custom_ad_report
Retrieve a custom performance report based on specific dimensions
get_platform_metadata
Retrieve metadata and configuration for your Delta Projects account
list_ad_campaigns
List all programmatic advertising campaigns in your Delta Projects account
list_ad_creatives
List all creative assets (banners, videos) uploaded to the platform
list_managed_advertisers
List all advertisers configured in the platform
list_media_placements
List all configured ad placements and media sources
list_running_campaigns
List only the ad campaigns that are currently active and serving
list_target_audiences
List all first-party and third-party audiences available for targeting
search_campaigns_by_name
Search for an ad campaign using a keyword
Example Prompts for Delta Projects in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Delta Projects immediately.
"List all active ad campaigns and their budgets."
"Show me the performance report for 'Summer Sale 2024' from yesterday."
"Search for ad creatives containing 'banner_300x250'."
Troubleshooting Delta Projects MCP Server with LlamaIndex
Common issues when connecting Delta Projects to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDelta Projects + LlamaIndex FAQ
Common questions about integrating Delta Projects 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 Delta Projects with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Delta Projects to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
