Dastra MCP Server for LangChainGive LangChain instant access to 12 tools to Archive Dsr, Create Breach, Create Dsr, and more
LangChain is the leading Python framework for composable LLM applications. Connect Dastra 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 Dastra app connector for LangChain is a standout in the Document Management category — giving your AI agent 12 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({
"dastra": {
"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 Dastra, 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 Dastra MCP Server
Connect your Dastra account to any AI agent and take full control of your data privacy and GDPR/LGPD compliance workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Dastra through native MCP adapters. Connect 12 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
- DSR Orchestration — Manage the full lifecycle of Data Subject Requests (DSR) programmatically, from creation and status tracking to high-fidelity resolution and archiving
- Breach & Incident Tracking — Programmatically document and track security incidents and data breaches to maintain a perfectly coordinated regulatory response
- ROPA & Asset Intelligence — Access your Record of Processing Activities (ROPA) and documented datasets to oversee data flow and classification across workspaces
- Compliance Architecture — Retrieve complete directories of actors (controllers, processors), tags, and processing activities to maintain a high-fidelity privacy registry
- Workspace Visibility — List and manage multiple workspaces programmatically to coordinate privacy operations across different business units directly through your agent
The Dastra MCP Server exposes 12 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 12 Dastra tools available for LangChain
When LangChain connects to Dastra through Vinkius, your AI agent gets direct access to every tool listed below — spanning gdpr, data-privacy, dsr-management, 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.
Archive a DSR
Create a new data breach record
Create a new Data Subject Request
Get details for a specific DSR
). List actors
List data breaches
List datasets
List Data Subject Requests
List processing activities (ROPA)
List workspace tags
List all workspaces
Update an existing DSR
Connect Dastra to LangChain via MCP
Follow these steps to wire Dastra 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 Dastra MCP Server
LangChain provides unique advantages when paired with Dastra through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Dastra 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 Dastra queries for multi-turn workflows
Dastra + LangChain Use Cases
Practical scenarios where LangChain combined with the Dastra MCP Server delivers measurable value.
RAG with live data: combine Dastra tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Dastra, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Dastra tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Dastra tool call, measure latency, and optimize your agent's performance
Example Prompts for Dastra in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Dastra immediately.
"List all active workspaces in my Dastra account."
"Show pending DSR requests for workspace 'ws_123'."
"Register a new data breach 'Server Unauthorized Access' in workspace 'ws_123'."
Troubleshooting Dastra MCP Server with LangChain
Common issues when connecting Dastra to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDastra + LangChain FAQ
Common questions about integrating Dastra 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.