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

Built by Vinkius GDPR 13 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Openli 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 Openli app connector for LlamaIndex 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 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 Openli. "
            "You have 13 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Openli?"
    )
    print(response)

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.

LlamaIndex agents combine Openli tool responses with indexed documents for comprehensive, grounded answers. Connect 13 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

  • 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 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 13 Openli tools available for LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 13 tools from Openli

Why Use LlamaIndex with the Openli MCP Server

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

01

Data-first architecture: LlamaIndex agents combine Openli tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Openli tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Openli, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Openli tools were called, what data was returned, and how it influenced the final answer

Openli + LlamaIndex Use Cases

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

01

Hybrid search: combine Openli real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Openli to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Openli for fresh data

04

Analytical workflows: chain Openli queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Openli in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Openli + LlamaIndex FAQ

Common questions about integrating Openli MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Openli tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.