Drupal 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 Drupal 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 Drupal. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Drupal?"
)
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 Drupal MCP Server
Connect your Drupal site to any AI agent and take full control of your headless content management and JSON:API workflows through natural conversation.
LlamaIndex agents combine Drupal 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
- Content Node Orchestration — Identify bounded routing spaces inside headless Drupal models and extract explicitly attached REST arrays tracking standard JSON:API boundaries
- Entity Management — Provision highly-available JSON payloads to write rows into Drupal entities, or irreversibly vaporize nodes to clear live document entities
- Revision Mutation — Substitute draft values safely by triggering HTTP PATCH operations to replace row segments isolating partial updates mapping specific UUIDs
- Taxonomy Management — Enumerate explicitly attached structured rules defining how content is categorized natively through terms and vocabularies
- File & Media Discovery — Taps raw configurations pulling explicitly managed Drupal files to discover raw CDN URIs mitigating headless media blocking
- Identity Oversight — Evaluate physical arrays isolating actual editors and administrators exposing their metadata and access roles securely
- Metadata Auditing — Retrieve the exact structural matching verifying file storage and analyzing explicit UUID bounds for managed attachments
The Drupal 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 Drupal to LlamaIndex via MCP
Follow these steps to integrate the Drupal 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 Drupal
Why Use LlamaIndex with the Drupal MCP Server
LlamaIndex provides unique advantages when paired with Drupal through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Drupal tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Drupal tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Drupal, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Drupal tools were called, what data was returned, and how it influenced the final answer
Drupal + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Drupal MCP Server delivers measurable value.
Hybrid search: combine Drupal real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Drupal 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 Drupal for fresh data
Analytical workflows: chain Drupal queries with LlamaIndex's data connectors to build multi-source analytical reports
Drupal MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Drupal to LlamaIndex via MCP:
create_cms_node
Provision a highly-available JSON Payload writing Rows into Drupal entities
get_file_metadata
Retrieve the exact structural matching verifying File storage
get_single_node
Retrieve explicit Cloud logging tracing explicit Node UUIDs
get_taxonomy_term
Perform structural extraction of properties driving active Term mappings
list_content_nodes
Identify bounded routing spaces inside the Headless Drupal models
list_drupal_users
Identify precise active arrays spanning rented Admin identities
list_managed_files
Inspect deep internal arrays mitigating specific Picture constraints
list_term_vocabularies
Enumerate explicitly attached structured rules exporting Taxonomies
patch_cms_node
Mutate global Web CRM boundaries substituting Draft values safely
wipe_cms_node
Irreversibly vaporize explicit App nodes dropping live Document entities
Example Prompts for Drupal in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Drupal immediately.
"List the last 5 'article' nodes from Drupal"
"Create an 'article' with title 'AI Integration' and body 'Testing Drupal MCP...'"
"Show me all terms in the 'tags' vocabulary"
Troubleshooting Drupal MCP Server with LlamaIndex
Common issues when connecting Drupal to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDrupal + LlamaIndex FAQ
Common questions about integrating Drupal 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 Drupal 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 Drupal to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.