Strategy ONE

Interact with Agents Using an MCP Server

Beginning in Strategy One (December 2025), you can interact with agents from multiple clients in a ChatGPT-like interface. The MCP server in Strategy Library exposes tools that allows MCP client applications to discover, interact with, and query agents directly. MCP clients can list available agents, view their details, and direct questions to specific agents via remote calls. The MCP server enables real-time, cross-system interaction with agents from multiple clients, improving usability, extensibility, and integration across platforms. It reduces operational friction and increases automation by allowing external tools to leverage agents programmatically.

You can interact with agents using the following MCP clients:

Beginning in Strategy One (January 2026), you can also use these MCP clients:

If you are working with a container-based environment, Enable the MCP Server before connecting MCP clients to it for interaction with agents.

Use Cases

  • List all agents connected to the MCP server, so that you know what you are working with. The MCP server returns agent names, IDs, and descriptions.

  • Ask a question. The MCP client determines the target agent, invokes it, and retrieves the answer.

Prerequisites

You must have the privileges outlined below.

Action Required Privilege Notes
Connect to MCP server Authenticated user Clients must have valid credentials and tokens
List agents Read access Only users with permission can list agents
Ask agent Run AI Bots Must be allowed to execute actions and questions

Agents must be certified to be used in the MCP server. This allows you to determine which agents are available. For example, if you want to test only production agents, you can certify only those.

Use a MCP Server Connection in Claude

Connect to the MCP Server

  1. Log into Claude PRO version.

  2. In the toolbar in the chat box, click the Search and Tools icon and select Manage Connectors.

  3. Click Browse Connectors.

  4. In the introductory paragraph, click the link for add a custom one.

  5. In the Add Custom Connector window, type a Name for the connector.

  6. Type your Remote MCP Server URL.

  7. Click Add.

  8. If the same window opens again, click Cancel.

  9. Check that your new connector displays in the list of connectors.

  10. Click Connect next to your new connector.

  11. Strategy Library opens. Log in with your credentials.

  12. At the message, click Open Claude.

    Your new connector now displays Configure instead of Connect.

  13. Click the New Chat icon in the sidebar.

  14. In the toolbar in the chat box, click the Search and Tools icon . Your new connector is now listed and ready for use.

Use Claude to Interact with Agents

  1. In the Claude chat box, you can ask to list your agents.

  2. You can ask Claude to provide details about a specific agent.

  3. Ask a question to your agents.

Use a MCP Server Connection in Copilot

Connect Using Copilot

  1. Open Copilot.

  2. Open a new window using Ctrl+Shift+P.

  3. Look up MCP: Add Server.

  4. Choose HTTP (HTTP or Server-Sent Events).

  5. Paste your MCP server URL using the following syntax:

    https://env-domain/collaboration/mcp/agent

    Replace domain with your MCP server.

  6. Type a Name for the server.

  7. Select Global.

  8. Click Allow authentication.

  9. Click Open the external website.

  10. Strategy Library opens. Log in with your credentials.

  11. In the window, click Open Visual Studio Code.

  12. Ensure your mcp.json file looks like the image below, with your own URL. Click Start above the mcp line.

  13. Click Allow to connect.

  14. Ensure that the MCP connection is running, by checking the mcp.json file for the Running status.

Use Copilot to Interact with Agents

  1. Open a chat window by clicking the Chat icon at the top of the screen.

  2. In the chat window, ask Copilot to list your agents. Click Allow to retrieve the response. This is also a good way to ensure that the MCP server is connected.

  3. Ensure that the chat box is set to Agent as shown below.

  4. You can ask Copilot to provide details about a specific agent or ask a question to your agents.

Use a MCP Server Connection in Gemini Enterprise

Connect Using Gemini Enterprise

  1. Check out your GitHub repository.

  2. Create a Python virtual environment.

  3. Install all dependencies from pyproject.toml.

  4. Ensure the mcp_url and AUTH_ID match in both agent.py and deploy.py.

  5. Deploy your ADK agent to the Vertex AI Agent Engine by running the following command:

    python deploy.py

  6. Once deployment succeeds, you can view your agent running in the Agent engine:

  7. Add a new resource to the Gemini Enterprise Authorization server and register the ADK agent to Gemini Enterprise. Follow the steps below:

    1. Search for Gemini Enterprise.

    2. Navigate to agents.

    3. Click Add Agent.

    4. Select Custom Agent Via Agent Engine.

  8. Add a new authorization, ensuring that the Authorization ID matches the AUTH_ID deployed in the deploy.py script.

  9. Click Next.

  10. Add your agent's configuration. Follow the steps below:

    1. Use the same Authorization ID as above.

    2. Type the resource name of the ADK engine in the Agent Engine Reasoning box. You can find the resource name in the Agent Engine portal.

    3. Click Create.

Use Gemini Enterprise to Interact with Agents

  1. Open the Gemini Enterprise interface.

  2. Select Agents and choose your agent.

  3. You can interact with your agent in Gemini, to provide details about a specific agent or ask a question to your agents.

Use a MCP Server Connection in ChatGPT

Connect using ChatGPT

  1. Open ChatGPT.

  2. In the bottom left, click your name.

  3. Click Settings.

  4. Click Apps & Connectors.

  5. Click Create App.

  6. Fill in the information to create the app.

    1. Add an Icon image file (optional).

    2. Type a Name, an optional Description, and the MCP Server URL using the format https://env-domain/collaboration/mcp/agent, replacing domain with your MCP server.

    3. From the Authentication drop-down list, select OAuth.

    4. Type the Authorization ID.

    5. Select the check box next to I understand and want to continue.

  7. Click Create.

You can now interact with your agent in ChatGPT.

Use a MCP Server Connection in Copilot Studio

Connect using Copilot Studio

  1. Open Copilot Studio.

  2. Click Agents in the toolbar on the left.

  3. Create a new agent by clicking Create Blank Agent in the toolbar or click an existing agent.

  4. Scroll down to the Tools section and click Add Tool.

  5. Click New Tool on the right, below the suggestions.

  6. Click Model Context Protocol.

  7. Type the Server Name, Server Description, and Server URL including the complete server path.

  8. For the Authentication, select OAuth 2.0.

  9. For the Type, select Manual.

  10. Type your Client ID, Client Secret, Authorization URL, Token URL Template, Refresh URL, and Scopes.

  11. Click Create.

  12. Copy the Redirect URL displayed in the Preview window. Provide it to the MCP owner, so they can help to add the redirect_url in the MCP configuration.

    • The MCP owner adds it in Workstation, in the environment's properties. It is located on the Library page, in the Model Context Protocol for Agent section, as shown below:

  13. Click Next.

  14. To establish the connection, click Not Connected.

  15. After you are signed in and connected, click Create.

  16. A new browser window displays. Strategy Library opens. Log in with your credentials.

You can now interact with your agent using Copilot Studio.

Use a MCP Server Connection in AWS/Amazon Quick Suite

Connect to the MCP Server

  1. Log into the AWS access portal.

  2. Click AdministratorAccess.

  3. Search for Amazon Quick Suite and select it.

  4. In the navigation bar on the left, click Integrations.

  5. Click the Actions tab. Click Add (the plus sign) in the Model Context Protocol box.

  6. Type the Name and Description.

  7. In the MCP Server Endpoint box, copy and paste your MCP server URL using the following syntax:

    https://env-domain/collaboration/mcp/agent

    Replace domain with your MCP server.

  8. Click Next.

  9. Click User Authentication as the Authentication Method.

  10. Type the Client ID, Client Secret, Token URL, and Authorization URL.

  11. Click Create and Continue.

  12. Log in to Strategy Library with your credentials.

  13. Review the list of enabled actions. Click Next.

  14. If the Share Integration page displays, click Done.

    Start Testing

  15. In the navigation panel on the left, click Chat Agents.

  16. Click Create Chat Agent.

  17. If you want to specify the agent's persona, describe it, then click Generate. If not, click Skip.

  18. Type a name in the box at the top of window.

  19. In the Actions section at the bottom of the window, click Link Actions.

  20. Select MCP Agent, then click Link.

  21. At the top of the window, click Launch Chat Agent.

  22. Once the Successfully Launched Chat Agent message displays, you can interact with your agent using AWS.