Directus MCP Server for LangChainGive LangChain instant access to 16 tools to Check Directus Status, Create Item, Delete Item, and more
LangChain is the leading Python framework for composable LLM applications. Connect Directus through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Directus app connector for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"directus-alternative": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Directus, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Directus through native MCP adapters. Connect 16 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire Directus into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Directus MCP Server
LangChain provides unique advantages when paired with Directus through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Directus MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Directus queries for multi-turn workflows
Directus + LangChain Use Cases
Practical scenarios where LangChain combined with the Directus MCP Server delivers measurable value.
RAG with live data: combine Directus tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Directus, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Directus tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Directus tool call, measure latency, and optimize your agent's performance
Example Prompts for Directus in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Directus to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDirectus + LangChain FAQ
Common questions about integrating Directus MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.