Directus MCP Server for LlamaIndexGive LlamaIndex instant access to 16 tools to Check Directus Status, Create Item, Delete Item, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Directus 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 App Connector for LlamaIndex
The Directus app connector for LlamaIndex is a standout in the Loved By Devs category — giving your AI agent 16 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Directus. "
"You have 16 tools available."
),
)
response = await agent.run(
"What tools are available in Directus?"
)
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 Directus MCP Server
Connect your Directus instance to any AI agent and manage your content database through natural conversation.
LlamaIndex agents combine Directus tool responses with indexed documents for comprehensive, grounded answers. Connect 16 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
- Collection Management — List all data collections with field counts and inspect individual collection schemas
- Content CRUD — Create, read, update, and delete items in any collection using JSON payloads
- Search & Query — Search items within collections by keyword to find specific content quickly
- Schema Inspection — List all fields and their data types for any collection to understand your data model
- File Management — Browse uploaded files and retrieve metadata for specific assets
- User & Role Management — List all users with roles and status, view role configurations, and check your own profile
- Audit Trail — Access the activity log of recent database operations for compliance and debugging
The Directus MCP Server exposes 16 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.
All 16 Directus tools available for LlamaIndex
When LlamaIndex connects to Directus through Vinkius, your AI agent gets direct access to every tool listed below — spanning sql-database, graphql, rest-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify connectivity
Create an item
Delete an item
Get collection details
Get file details
Get item details
Get current user
List recent activity
List collections
List fields
List files
List items
List roles
List users
Search items
Update an item
Connect Directus to LlamaIndex via MCP
Follow these steps to wire Directus into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Directus MCP Server
LlamaIndex provides unique advantages when paired with Directus through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Directus tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Directus tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Directus, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Directus tools were called, what data was returned, and how it influenced the final answer
Directus + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Directus MCP Server delivers measurable value.
Hybrid search: combine Directus real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Directus 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 Directus for fresh data
Analytical workflows: chain Directus queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Directus in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Directus immediately.
"Show me all collections in my Directus instance and the fields for the 'articles' collection."
"Create a new article titled 'AI in Healthcare 2025' with status 'draft' and search for existing articles about AI."
"Show me the recent activity log and list all users with their roles."
Troubleshooting Directus MCP Server with LlamaIndex
Common issues when connecting Directus to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDirectus + LlamaIndex FAQ
Common questions about integrating Directus MCP Server with LlamaIndex.