How do I get my Nomad Address?

Your Nomad Address is the URL where your Nomad server is reachable, usually including the port (e.g., http://nomad.example.com:4646).

Is an ACL Token required?

Only if ACLs are enabled on your Nomad cluster. If enabled, you must provide a Secret ID with sufficient permissions to query the requested resources.

Can I use namespaces with this server?

Yes! You can specify a target namespace in the authentication settings. The server will then filter all job and allocation queries to that specific namespace.

HashiCorp Nomad MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: HashiCorp Nomad
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add HashiCorp Nomad as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 HashiCorp Nomad. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in HashiCorp Nomad?"
    )
    print(response)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 HashiCorp Nomad MCP Server

Connect your HashiCorp Nomad cluster to your AI agent and take control of your orchestration and workload management through natural conversation.

LlamaIndex agents combine HashiCorp Nomad 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

Job Oversight — List all registered jobs and fetch their complete configuration and current status.
Cluster Health — Monitor active client nodes and retrieve detailed resource usage and status info.
Deployment Tracking — Follow the progress of rolling updates and manage canary deployments.
Workload Management — List all running instances (allocations) and inspect specific task details.
Operational Control — Manually promote successful deployments or fail underperforming ones to trigger rollbacks.
Deep Inspection — Fetch complete metadata for specific jobs, nodes, or allocations using their unique IDs.

The HashiCorp Nomad 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 HashiCorp Nomad to LlamaIndex via MCP

Follow these steps to integrate the HashiCorp Nomad 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 HashiCorp Nomad

Why Use LlamaIndex with the HashiCorp Nomad MCP Server

LlamaIndex provides unique advantages when paired with HashiCorp Nomad through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine HashiCorp Nomad tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain HashiCorp Nomad tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query HashiCorp Nomad, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what HashiCorp Nomad tools were called, what data was returned, and how it influenced the final answer

HashiCorp Nomad + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the HashiCorp Nomad MCP Server delivers measurable value.

Hybrid search: combine HashiCorp Nomad real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query HashiCorp Nomad 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 HashiCorp Nomad for fresh data

Analytical workflows: chain HashiCorp Nomad queries with LlamaIndex's data connectors to build multi-source analytical reports

HashiCorp Nomad MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect HashiCorp Nomad to LlamaIndex via MCP:

fail_deployment

Mark a deployment as failed

get_allocation

Get specific allocation details

get_deployment

Get specific deployment details

get_job

Get specific job details

get_node

Get specific node info

list_allocations

List all task allocations

list_deployments

List recent deployments

list_jobs

List all Nomad jobs

list_nodes

List all client nodes

promote_deployment

Promote a deployment

Example Prompts for HashiCorp Nomad in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with HashiCorp Nomad immediately.

"List all active jobs in the 'production' namespace."

"Check the status of all client nodes in the cluster."

"Promote the deployment with ID 'dep-98765'."

Troubleshooting HashiCorp Nomad MCP Server with LlamaIndex

Common issues when connecting HashiCorp Nomad to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

HashiCorp Nomad + LlamaIndex FAQ

Common questions about integrating HashiCorp Nomad MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query HashiCorp Nomad tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.