Your TPRM Program Just Got a Lot More Accessible

MCP - the Model Context Protocol - is the emerging open standard that lets AI assistants connect to external data sources and query them in real time. Instead of switching between screens, exporting spreadsheets, or waiting on a report, you ask your AI assistant a question and it reaches into your connected systems to answer it. Think of it as giving your AI a direct line into your business data.

TPRM is one of the most data-rich functions in any security organization. And one of the most inaccessible.

The Benefits of Bringing TPRM Into Your AI Tool

Your vendor risk program generates structured, high-signal data every day - assessment decisions, control statuses, risk levels, monitoring alerts. But most of that data stays locked inside your TPRM platform, surfaced only when someone logs in and pulls it manually.

That changes with MCP. When your TPRM data is connected to your AI tools, your entire risk program becomes queryable from wherever you already work. Your CISO can ask for a portfolio summary before a board meeting without filing a request. Your procurement lead can check a vendor's risk status without opening a browser tab. Your risk team stops spending hours formatting exports and starts spending that time on actual risk judgment.

The shift isn't just operational. It's strategic. When TPRM data flows freely into the tools your organization already uses, vendor risk stops being a siloed function and starts becoming part of how decisions get made.

Lema's MCP Server

What It Covers

Lema's MCP server gives your AI assistant access to your full vendor risk program:

• ‍Vendor inventory - your complete third-party portfolio, including inherent risk levels, lifecycle status, engagements, assessment scores, business owners, custom fields, and more
• ‍Procurement request - visibility to intake requests coming from procurement tools including source, request information, business context, and more
• ‍Assessments - full assessment history and live state, including control validation results, vendor status, evidence, and decisions, on top of reach outs and communication with vendors
• ‍Vendor and application discovery - consolidated view of unsanctioned vendors and apps based on your integrated data, including entity details, users and permissions, activity log, and more
• ‍Monitoring signals - your continuous monitoring feed, including alerts, CVEs, data breaches, regulatory sanctions, and other real-time risk events across your vendor portfolio

How It Works

Setup takes a few minutes. Generate an API key from Lema Settings, install the MCP server, and connect it to your AI tool of choice - Claude, Cursor, or any MCP-compatible assistant. From that point, your AI can query your Lema data in real time using natural language.

Access is governed by your existing Lema permissions. The MCP sees exactly what your API key is authorized to see - no new access model to configure, no separate permission layer to manage.

Lema's public API is the data layer underneath. It's the same structured, reliable foundation that powers Lema's own interface - now open for your AI tools and internal workflows to build on.

Use Cases

• ‍Reporting to leadership without the prep work. One risk team we work with tracks their entire TPRM workload through calendar invites and manual exports - just to get a quarterly summary in front of executives. With Lema's MCP, that same summary becomes a single natural-language query. Assessment decision trends, current team workload, open items by risk tier - pulled live, formatted instantly, ready to share.
• ‍Finding the gaps before an audit does. A security team managing hundreds of vendors struggled to answer a basic question: which of our critical vendors don't have a current approved assessment? Getting that answer meant cross-referencing two systems manually. Now it's one query. The gaps surface immediately, and remediation can start the same day.
• ‍Staying ahead of monitoring alerts. A GRC team with no dedicated monitoring resource wanted to know which of their onboarded vendors had experienced a data breach or security vulnerability in the last 30 days - without logging into Lema every morning. With MCP, they get that answer on demand, filtered by severity or vendor risk tier, directly in their AI tool.
• ‍Connecting vendor risk to daily workflows. One team's analysts were already using AI tools with MCP connectors to interrogate internal systems. Adding Lema to that stack meant vendor risk data could flow into the same workflows - surfacing relevant context at the moment a procurement decision, contract review, or incident response was happening.