Directus MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Directus through the 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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": {
"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 take full control of your open-source data platform and headless CMS through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Directus through native MCP adapters. Connect 10 tools via the 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 Orchestration — Identify bounded routing spaces inside headless Directus SQL mappers and extract database tables traversing collections natively
- Item Management — Provision highly-available JSON payloads to write or update Directus rows, or irreversibly wipe records to clear internal database allocations
- Schema Auditing — Enumerate explicitly attached structured rules defining your PostgreSQL tables and execute bulk iterations to track registered system types
- Metadata Inspection — Analyze specific localized variables decoding native collection boundaries and extracting hidden tracking configurations seamlessly
- Field Discovery — Inspect deep internal arrays defining precisely which fields accept formatting and validate payloads strictly against your DB links
- Identity Oversight — Explains explicitly mapped profile arrays iterating the exact users authorized within the DB layer enforcing RBAC boundaries securely
- Media Storage — Retrieve the exact structural matching verifying file uploads and generating download routes for active frontends
The Directus MCP Server exposes 10 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.
How to Connect Directus to LangChain via MCP
Follow these steps to integrate the Directus MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Directus via MCP
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
Directus MCP Tools for LangChain (10)
These 10 tools become available when you connect Directus to LangChain via MCP:
create_cms_record
Provision a highly-available JSON Payload writing Directus Rows
get_collection_details
Perform structural extraction of properties driving active Tables
get_single_item
Retrieve explicit Cloud logging tracing explicit DB Row UUIDs
list_collection_fields
Inspect deep internal arrays mitigating specific Column configurations
list_collection_items
Identify bounded routing spaces inside Headless Directus SQL mappers
list_directus_files
Retrieve the exact structural matching verifying Media storage
list_directus_users
Identify precise active arrays spanning rented Admin identities
list_schema_collections
Enumerate explicitly attached structured rules defining PostgreSQL tables
patch_cms_record
Mutate global Web CRM boundaries substituting Database values via ID
wipe_cms_record
Irreversibly vaporize explicit App nodes dropping live Rows
Example Prompts for Directus in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Directus immediately.
"List all items in the 'articles' collection"
"Create a new record in 'products': {'name': 'Gaming Mouse', 'price': 50}"
"Show me the schema for the 'orders' table"
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.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Directus 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 Directus to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.