Alation 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 Alation 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 Alation. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Alation?"
)
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 Alation MCP Server
Connect your Alation instance to your AI agent to unlock enterprise-grade data intelligence and discovery. From searching for critical data assets across your catalog to auditing table schemas and retrieving saved SQL queries, your agent handles your data governance through natural conversation.
LlamaIndex agents combine Alation 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
- Catalog Discovery — Search for schemas, tables, and data sources using keywords and advanced filters
- Metadata Auditing — Retrieve detailed logical and physical metadata, including descriptions, stewards, and tags
- Lineage Analysis — Trace data lineage to understand the provenance and impact of your data assets
- Query Orchestration — List saved SQL queries and retrieve cached execution results from Alation Compose
- Custom Field Management — List and audit custom governance fields associated with your catalog objects
The Alation 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 Alation to LlamaIndex via MCP
Follow these steps to integrate the Alation 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 Alation
Why Use LlamaIndex with the Alation MCP Server
LlamaIndex provides unique advantages when paired with Alation through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Alation tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Alation tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Alation, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Alation tools were called, what data was returned, and how it influenced the final answer
Alation + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Alation MCP Server delivers measurable value.
Hybrid search: combine Alation real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Alation 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 Alation for fresh data
Analytical workflows: chain Alation queries with LlamaIndex's data connectors to build multi-source analytical reports
Alation MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Alation to LlamaIndex via MCP:
get_lineage
Trace data lineage
get_object_metadata
Get object details
get_query_results
Get cached query results
list_columns
List columns in table
list_custom_fields
List governance fields
list_data_sources
List catalog data sources
list_saved_queries
List saved SQL queries
list_schemas
List schemas in data source
list_tables
List tables in schema
search_catalog
Search for data assets
Example Prompts for Alation in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Alation immediately.
"Search my Alation catalog for tables containing 'Customer ROI'."
"List the last 5 SQL queries I saved in Alation."
"Show the lineage for table 'Orders_Main' in the 'Production' schema."
Troubleshooting Alation MCP Server with LlamaIndex
Common issues when connecting Alation to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAlation + LlamaIndex FAQ
Common questions about integrating Alation 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 Alation 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 Alation to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.