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Openli MCP Server for LangChainGive LangChain instant access to 13 tools to Check Openli Status, Create Agreement, Create Dsar, and more

Built by Vinkius GDPR 13 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Openli 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 Openli app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 13 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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({
        "openli": {
            "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 Openli, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Openli
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Openli MCP Server

Connect your Openli account to any AI agent and take full control of your privacy orchestration and legal compliance through natural conversation. Openli provides a comprehensive platform for managing cookie consent, processing Data Subject Access Requests (DSARs), and maintaining an automated audit trail for your legal agreements.

LangChain's ecosystem of 500+ components combines seamlessly with Openli through native MCP adapters. Connect 13 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

  • Consent & Agreement Orchestration — List all published legal agreements programmatically and retrieve detailed version metadata to ensure your terms are always synchronized.
  • Evidence & Audit Intelligence — Record and save user consent evidence directly from the AI interface to maintain a high-fidelity, legally binding audit trail.
  • DSAR Lifecycle Management — Access and monitor incoming Data Subject Access Requests via natural language to drive better response times and regulatory compliance.
  • Vendor & Data Processor Control — List and oversee your organization's third-party vendors and data processors using simple AI commands.
  • Operational Monitoring — Track system responses and manage privacy audit logs to ensure your compliance workflow is always optimized.

The Openli MCP Server exposes 13 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 13 Openli tools available for LangChain

When LangChain connects to Openli through Vinkius, your AI agent gets direct access to every tool listed below — spanning openli, privacy-compliance, gdpr-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.

check_openli_status

Verify connectivity

create_agreement

Create an agreement

create_dsar

Create a DSAR

get_agreement

Get agreement details

get_consent

Get consent details

get_dsar

Get DSAR details

get_vendor

Get vendor details

list_agreements

List agreements

list_audit_logs

List audit logs

list_consents

List consents

list_dsars

List DSARs

list_vendors

List vendors

save_consent

Save consent

Connect Openli to LangChain via MCP

Follow these steps to wire Openli into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 13 tools from Openli via MCP

Why Use LangChain with the Openli MCP Server

LangChain provides unique advantages when paired with Openli through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Openli MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Openli queries for multi-turn workflows

Openli + LangChain Use Cases

Practical scenarios where LangChain combined with the Openli MCP Server delivers measurable value.

01

RAG with live data: combine Openli tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Openli, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Openli tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Openli tool call, measure latency, and optimize your agent's performance

Example Prompts for Openli in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Openli immediately.

01

"List all my current legal agreements in Openli."

02

"Show me all active legal documents that need review before their renewal date."

03

"Generate a compliance report for my website covering GDPR and cookie consent status."

Troubleshooting Openli MCP Server with LangChain

Common issues when connecting Openli to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Openli + LangChain FAQ

Common questions about integrating Openli MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.