MCP Server

The Trustible MCP Server enables external AI Application and Agents to communicate with the Trustible platform. (Learn more about MCP here: https://modelcontextprotocol.io/docs/getting-started/intro).

When the MCP Server is connected, your Agent/Application will be able to perform the actions in the Trustible Platform listed under Available Tools.

The server can be connected to using Header-based Token authentication or via OAuth.

Authentication via Header-based Access Token

This approach is enabled in many developer tools (e.g. Augment, Claude Code), agent development systems (e.g. Azure Foundry) and agent coding libraries (e.g. Langchain).

To connect to the system:

1. Generate an API token at in the API Developer Hub
   1. The MCP Server will take actions’ in the Trustible platform on behalf of this user
2. Set-up the MCP Configuration with:
   1. URL: https://app.trustible.ai/mcp
      1. Or your org’s subdomain
   2. Add the header: {"Authorization": "Token {YOUR API TOKEN}"

Examples

Langchain (Python Agent Developer Library)

from langchain.agents import create_agent
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient(
    {
        "trustible": {
            "transport": "streamable_http",
            "url": "http://app.dev.trustible.ai/mcp",
            "headers": {
                "Authorization": f"Token <AUTHORIZATION_TOKEN>",
            },
        }
    }
)
agent = create_agent("gpt-5", tools)

Augment in VSCode

Trustible can be added as a ‘Remote Server’ in Settings

Authentication via OAuth

This industry standard approach is the preferred method of connection for many AI Agents and tools.

To connect to the system:

1. From the API Developer Hub select “Register OAuth Application”
2. In Trustible, fill out the registration form with a name for your connection, the redirect URIs provided by the tool you wish to connect to, the client type (confidential for almost all use cases), and the authorization grant type (Authorization code for almost all use cases).
   1. Redirect URIs to use should be available in the developer documents of the respective application you would like to register. Please check the documents in case the URIs below have been changed.
      1. Claude Redirect URIs from https://support.claude.com/en/articles/11503834-building-custom-connectors-via-remote-mcp-servers: https://claude.ai/api/mcp/auth_callback https://claude.com/api/mcp/auth_callback
      2. ChatGPT Redirect URIs from https://developers.openai.com/apps-sdk/build/auth/: https://chatgpt.com/connector_platform_oauth_redirect
3. Click “Register Application”. Securely store the resulting Client ID and Client Secret
4. Follow instructions for your 3rd party tool to add an MCP connection
   1. Claude example:
      1. With admin permissions go to https://claude.ai/admin-settings/connectors and select “Add custom connector”
      2. Expand the “Advanced settings” drop down and provide the OAuth Client ID and OAuth Client Secret from Step 3.
      3. Set the name as you like and put the MCP endpoint for your environment, e.g. https://app.trustible.ai/mcp
      4. Click Add to save the MCP configuration to make it available to your Claude organization
      5. Users of your Claude organization with Trustible accounts in your Trustible organization can then navigate to the https://claude.ai/settings/connectors page and click “Connect” next to newly created connection to grant permission for Claude to query the Trustible MCP server on their behalf.

MCP Agent: Workflow Tools

The MCP (Model Context Protocol) agent now has expanded capabilities for interacting with workflows. AI assistants connected via MCP can now:

• Retrieve workflow details for any use case, including task assignments and progress
• Get task-level information with linked inventory items (risks, mitigations, benefits, stakeholders, vendors, and models)
• Run Guiding Questions and Review with AI directly from within a task context
• View task summaries for assessment and asset-linking tasks

These tools allow for richer integrations between Trustible and AI-powered productivity tools.