Metaplane 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 Metaplane 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 Metaplane. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Metaplane?"
)
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 Metaplane MCP Server
Connect your Metaplane account to any AI agent and take full control of your data observability and quality through natural conversation.
LlamaIndex agents combine Metaplane 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
- Monitor Oversight — List all configured data monitors and fetch detailed metadata and health statuses
- Incident Management — Retrieve real-time incident histories and track resolutions for data quality alerts
- Automated Execution — Programmatically trigger monitor runs to validate data quality on demand
- Connection Visibility — Enumerate connected databases, warehouses, and schemas to understand your data lineage
- Alert Configuration — List and inspect active notification settings and alert rules
The Metaplane 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 Metaplane to LlamaIndex via MCP
Follow these steps to integrate the Metaplane 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 Metaplane
Why Use LlamaIndex with the Metaplane MCP Server
LlamaIndex provides unique advantages when paired with Metaplane through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Metaplane tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Metaplane tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Metaplane, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Metaplane tools were called, what data was returned, and how it influenced the final answer
Metaplane + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Metaplane MCP Server delivers measurable value.
Hybrid search: combine Metaplane real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Metaplane 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 Metaplane for fresh data
Analytical workflows: chain Metaplane queries with LlamaIndex's data connectors to build multi-source analytical reports
Metaplane MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Metaplane to LlamaIndex via MCP:
get_account_info
Get account information
get_incident
Get details for a specific incident
get_monitor
Get details for a specific monitor
get_monitor_runs
Get run history for a monitor
list_configured_alerts
List configured alerts
list_connection_schemas
List schemas for a connection
list_data_connections
List all data source connections
list_incidents
List data incidents
list_monitors
List all data monitors
trigger_monitor_run
Trigger a monitor run
Example Prompts for Metaplane in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Metaplane immediately.
"List all my data monitors in Metaplane."
"Show recent incidents for the last 24 hours."
"Trigger a run for monitor ID 'mon_12345'."
Troubleshooting Metaplane MCP Server with LlamaIndex
Common issues when connecting Metaplane to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMetaplane + LlamaIndex FAQ
Common questions about integrating Metaplane 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 Metaplane 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 Metaplane to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.