The Conveyor MCP server is live
Conveyor can now live in the AI tool your team uses every day: ChatGPT, Claude, Gemini, NotionAI, Rovo, and more. Connect the Conveyor MCP server and you can access your Conveyor knowledge base, trust center, questionnaires, and analytic from the chat interface of AI.
Conveyor customer, follow the steps below and you'll be running an AI-powered customer trust playbook by the end of the day.
Get started. Each link opens a chat with the setup instructions pre-loaded. Hit send and your assistant walks you through connecting Conveyor, step by step. Not the admin of your AI account? There's a note for you further down.
But first, a song that's going to be stuck in your head for the rest of the day.
Y, MCP?

Accurate security knowledge is what closes big deals. It's also what holds them up. Most of it lives in the heads of the security team and a knowledge base nobody else can reach. Conveyor fixes that inside our app. The MCP server brings that same power to your favorite LLM. Now your security content shows up in the AI tools the rest of the company is already working in.
Approved users skip the context switch and pull from Conveyor anywhere they're prompting.
What MCP actually is
MCP stands for Model Context Protocol. It's an open standard that lets AI tools talk to outside data and software so they can actually get work done.
Compare that to a traditional API. You need a developer, time, and a roadmap slot. MCP cuts that out. Non-technical users get the same integrations without writing a line of code.
"MCP is a standard plug for AI. Connect it to Conveyor and your assistant suddenly has all of your security knowledge to work with." — Anner, CTO
Once the Conveyor MCP server is connected to your AI tool, you get the same data and integrations that used to require an in-app session or API call. Just in a chat window.
What you can do with it
The Conveyor MCP server connects to our public API, so you get Q&A, trust center management, questionnaire workflows, and analytics through chat or through agents.
The longer you use it, the more it can do. Here's how to think about it, in three levels. We'll use Claude as the example, but it works the same everywhere else.
Level 1: Ask a question, get an accurate answer
Ask Claude a security question. It pulls the answer from your Conveyor Knowledge Library through the MCP. That's a knowledge base your team curated, our AI monitors, and your reviewers signed off on. Not whatever Claude found on the public internet or in a stray Notion doc.
Example: A customer asks, "What specific controls do you have in place to prevent prompt injection or jailbreaking?" Your sales rep types it into Claude, gets the approved Conveyor answer back, and sends it to the customer. No security ticket. No waiting.
Pro tip: Want sales to answer security questions on their own? Build a Claude skill that spots security questions and pulls answers from the MCP, then roll it out to GTM. Self-serve security answers, every deal.
Level 2: Run the customer trust workflow without leaving Claude
Approve pending requests, review knowledge base issues, manage your trust center. All from chat.
Example: A known customer requests access to your trust center. The email hits your inbox. You approve it from Claude. "Approve all pending access requests from @acme.com," set the permissions, done. No tab switching. No logging into a second tool.
Level 3: Run agentic workflows that reference the Conveyor MCP
This is where it gets interesting.
Example: Audit the questions your team is being asked across sales, customers, and your trust center. Then turn that audit into a roadmap to improve your content.
Try this prompt:
I want to analyze what security questions are being asked of our team and our trust center. Review the #security_questions Slack channel and questions asked by sales over the last 60 days. Also review all Conveyor Trust Center interactions over the last 60 days. You can use tools from the Conveyor MCP server for that.
What are the top questions and documents? Which questions from sales aren't answered by the Trust Center? What questions don't have answers? What answers should we work on to make more helpful?
I want you to similarly review the curated Q&As (popularity, expiration, duplicates, etc.) and propose actionable feedback to improve the content and the customer experience.
Summarize it all in a nicely formatted PDF report.
You just audited your trust program with a prompt.
How to connect to the Conveyor MCP server
The server now supports OAuth. No API keys, nothing to install, nothing to self-host. You sign in with your Conveyor account and your permissions carry over automatically.
- Add Conveyor as a custom connector. In Claude, go to Settings > Connectors > Add custom connector. In ChatGPT, go to Settings > Apps & Connectors > Create. Paste in this URL:
https://mcp.conveyor.com/mcp - Sign in to Conveyor. Click Connect, log in through the browser window that opens, and pick your organization. Done.
- Start asking questions. Once connected, your assistant automatically discovers what it can do. Try: "What questionnaires are due this week?" or "Which customers downloaded our SOC 2 report in the last 30 days?"
Prefer a guide? Open the walkthrough in Claude or in ChatGPT and your assistant will take it from there. Using Cursor or the OpenAI Playground? Those still use an API token. The MCP start guide has the config.
Not the admin of your AI account? Send them this
On Claude Team and Enterprise plans, and on ChatGPT Business, Enterprise, and Edu plans, only a workspace admin can add custom connectors. Most people aren't the admin. No problem. Copy this and paste it in Slack:
"Hey, can you add the Conveyor MCP server as a custom connector in our Claude/ChatGPT workspace? The URL is https://mcp.conveyor.com/mcp. It uses OAuth, so each user signs in with their own Conveyor account and can only see what their Conveyor permissions already allow. Setup guide: https://docs.conveyor.com/reference/mcp-server"
Once your admin adds it, you just hit Connect and sign in.
Try this Claude skill with the Conveyor MCP server
The Conveyor MCP server is available now in Labs (beta). OAuth login is live, and we're working on getting Conveyor listed in the Anthropic and OpenAI connector directories. Once you're connected, drop this prompt into Claude and let it run.
Trust Center Activity Audit
I want to analyze the content on our Conveyor Trust Center. You can use tools from the Conveyor MCP server for that. Let's focus on interactions from the last 60 days.
First, analyze the documents shared there. Which ones are popular? Which ones are unused? Any other insights?
Second, review the curated Q&As (popularity, expiration, duplicates, etc.) and propose actionable feedback to improve the content and the customer experience.
Summarize it all in a nicely formatted PDF report.
Need help? Let us know
We'd love to hear where you're stuck, your use cases, or what you want to see next from our MCP and AI integrations. Reach out to your CSM with any questions.
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