O’Reilly MCP Admin Guide

What is MCP?

MCP stands for Model Context Protocol, a standard way for AI assistants to securely connect to external sources of information in real time.

AI tools like ChatGPT, Microsoft Copilot, and Claude are powerful, but they’re only as good as the information they can access. Without a connection to a trusted source, they rely on training data that may be outdated or incomplete.

The O’Reilly MCP server acts as a bridge between those AI tools and O’Reilly’s expert content library. When an employee asks their AI tool for learning resources, it searches O’Reilly and returns relevant results directly. With our MCP, your employees get trusted O’Reilly content recommendations right inside the AI tools they already use, with no platform switching and no extra logins.

How it works

  1. An employee asks their AI tool for learning resources, for example, “Find me O’Reilly courses on cloud security.”
  2. The AI tool automatically recognizes it has access to the O’Reilly MCP server and sends a search request.
  3. The MCP server searches the O’Reilly content library and returns a list of relevant results, including titles, formats, and links.
  4. The AI tool presents the recommendations to the employee, with direct links to O’Reilly content.

How your teams can use it

Engineering teams: IDEs and coding assistants

Developers can request O’Reilly content directly inside their coding tools (like Cursor, GitHub Copilot, or VS Code), surfacing relevant learning resources without leaving their workflow.

Example: “Find me O’Reilly books on distributed tracing in Go microservices.”

All employees: Internal chat and support bots

Employees can ask your internal chatbot a learning-focused question and immediately receive relevant O’Reilly content, including courses, books, and live events, surfaced right in the moment they need it.

Example: “What should I study to prepare for my AWS Solutions Architect exam?”

L&D and HR teams: Learning and development programs

L&D and HR teams can build AI-enhanced learning journeys that pull applicable O’Reilly resources into structured paths—no manual curation required.

Example: “Recommend a learning path for an engineer moving into a staff role.”

Getting set up

The O’Reilly MCP integration can be configured at two levels: organization-wide by an admin or individually by each user.

Organization-wide access (admin token)

Admins can generate a single token that the entire organization shares. This is the recommended approach for connecting O’Reilly to a centralized internal AI agent or corporate chatbot.

  1. Log in to the Admin Console.
  2. Navigate to Integrations → API Tokens.
  3. Click Create token.
  4. Select Content MCP as the token type.
  5. Give the token a name and set an expiration date.
  6. Click Continue—your token will be generated.
  7. Save your token immediately in a secure location. It won’t be displayed again.
  8. Use the MCP Server Documentation to complete setup.

From the API Tokens page, you can view and revoke any tokens you have created.

Individual user access (user token)

Users can generate their own personal token, allowing them to connect their individual AI tools, such as a coding assistant or IDE, directly to O’Reilly content.

  1. Click your user menu and select MCP Tokens.
  2. Give the token a name and set an expiration date.
  3. Click Generate token.
  4. Save your token immediately in a secure location. It won’t be displayed again.
  5. Use the MCP Server Documentation to complete setup.

From the MCP Tokens page, you can view and revoke any tokens you have created.

What’s coming next

The current MCP integration is just the beginning. Here’s what’s on the roadmap:

  • Content with source links: Rather than just surfacing titles, the MCP server will return direct summary answers to questions with links back to the original O’Reilly source material.
  • Skill mapping and personalized learning plans: AI tools will be able to access O’Reilly’s platform features to help employees identify skill gaps and build personalized development paths.
  • OAuth authentication: In addition to token-based access, we plan to support OAuth to make authentication even easier to manage at scale.

    • We’ll share updates as these capabilities become available.

Data Privacy

The O’Reilly MCP server only accesses the information needed to search for and return content recommendations. It does not store or retain your employees’ conversations with their AI tools.

However, your organization should be aware that the AI tool decides what context is necessary to send to the O’Reilly MCP server to receive the best response. O’Reilly cannot control what information the AI tool sends to the MCP server. We recommend reviewing the data retention and privacy settings of any AI tools your organization connects to the O’Reilly MCP server and establishing internal guidelines around what information your employees share with AI tools.