Adobe Customer Journey Analytics (CJA) MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Adobe Customer Journey Analytics (CJA) 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 Adobe Customer Journey Analytics (CJA). "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Adobe Customer Journey Analytics (CJA)?"
)
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 Adobe Customer Journey Analytics (CJA) MCP Server
Connect your Adobe Customer Journey Analytics (CJA) account to your AI agent to unlock professional omnichannel insights and data orchestration. From managing connections to AEP datasets to retrieving complex cross-channel reports and auditing data views, your agent handles your journey analytics ecosystem through natural conversation.
LlamaIndex agents combine Adobe Customer Journey Analytics (CJA) tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Omnichannel Reporting — Retrieve cross-channel reports that combine web, app, and offline data in a single request
- Data View Management — List and audit metadata for data views, including all available dimensions and metrics
- Connection Oversight — List and monitor connections between your CJA environment and Adobe Experience Platform datasets
- Filter Orchestration — Manage and list filters (formerly segments) to ensure your analysis is targeted and accurate
- Real-time Journey Tracking — Quickly identify customer behavior patterns across multiple touchpoints directly from chat
The Adobe Customer Journey Analytics (CJA) MCP Server exposes 6 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 Adobe Customer Journey Analytics (CJA) to LlamaIndex via MCP
Follow these steps to integrate the Adobe Customer Journey Analytics (CJA) 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 6 tools from Adobe Customer Journey Analytics (CJA)
Why Use LlamaIndex with the Adobe Customer Journey Analytics (CJA) MCP Server
LlamaIndex provides unique advantages when paired with Adobe Customer Journey Analytics (CJA) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Adobe Customer Journey Analytics (CJA) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Adobe Customer Journey Analytics (CJA) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Adobe Customer Journey Analytics (CJA), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Adobe Customer Journey Analytics (CJA) tools were called, what data was returned, and how it influenced the final answer
Adobe Customer Journey Analytics (CJA) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Adobe Customer Journey Analytics (CJA) MCP Server delivers measurable value.
Hybrid search: combine Adobe Customer Journey Analytics (CJA) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Adobe Customer Journey Analytics (CJA) 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 Adobe Customer Journey Analytics (CJA) for fresh data
Analytical workflows: chain Adobe Customer Journey Analytics (CJA) queries with LlamaIndex's data connectors to build multi-source analytical reports
Adobe Customer Journey Analytics (CJA) MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Adobe Customer Journey Analytics (CJA) to LlamaIndex via MCP:
get_data_view_dimensions
List dimensions for a data view
get_data_view_metrics
List metrics for a data view
get_report
Retrieve an omnichannel report
list_connections
List AEP connections
list_data_views
List CJA data views
list_filters
List journey filters
Example Prompts for Adobe Customer Journey Analytics (CJA) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Adobe Customer Journey Analytics (CJA) immediately.
"List all data views in my CJA account."
"Show me dimensions for data view ID 'dv_12345'."
"List all active filters in my account."
Troubleshooting Adobe Customer Journey Analytics (CJA) MCP Server with LlamaIndex
Common issues when connecting Adobe Customer Journey Analytics (CJA) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAdobe Customer Journey Analytics (CJA) + LlamaIndex FAQ
Common questions about integrating Adobe Customer Journey Analytics (CJA) 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 Adobe Customer Journey Analytics (CJA) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
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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 Adobe Customer Journey Analytics (CJA) to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.