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Version: 1.63

MCP Server (Beta)

The Deeploy Model Context Protocol (MCP) server connects any MCP-compatible AI agent platform to Deeploy. Once connected, an AI agent registers itself with Deeploy and automatically sends an audit trail of every interaction without needing any code changes.

Availability​

The MCP server is hosted on Deeploy cloud and available to all cloud customers. Private cloud customers can contact us at [email protected] for installation instructions.

Supported platforms​

Any MCP-compatible AI platform can connect. Tested platforms include:

  • Microsoft Copilot Studio
  • Claude (claude.ai) / Claude Desktop / Claude Code
  • ChatGPT
  • GitHub Copilot
  • Perplexity

Connect your platform​

The MCP server URL is:

https://mcp.deeploy.ai/mcp

Add it as a custom connector in your platform, then:

  1. authenticate with your Deeploy personal key pair (access_key and secret_key) when prompted.
  2. Add a system instruction telling the agent to use the Deeploy MCP server at the start of every conversation, so the flow below runs automatically rather than requiring a manual prompt each time. See Introduction for the exact wording.
  3. Once connected, the agent automatically follows the registration flow at the start of every session.

Claude​

Add a custom connector with the URL above. See the Claude connectors documentation for the exact steps.

GitHub Copilot​

Add the server to an mcp.json file, or run MCP: Add Server from the Command Palette:

{
  "servers": {
    "deeploy": {
      "type": "http",
      "url": "https://mcp.deeploy.ai/mcp"
    }
  }
}

See the VS Code MCP documentation for other ways to add a server and for configuring it in other Copilot surfaces.

Microsoft Copilot Studio​

Add the URL above as a Model Context Protocol tool on your agent. See the Copilot Studio MCP documentation for the exact steps.

ChatGPT​

Add a connector with the URL above. See Connectors in ChatGPT for the exact steps.

Perplexity​

Add a custom connector with the URL above. See the Perplexity MCP documentation for the exact steps.

Other MCP clients​

Any MCP-compatible platform can connect using the same URL over Streamable HTTP. Consult your platform's documentation for the exact steps to add a remote, OAuth-authenticated MCP server.

System instruction​

The MCP server instructs the agent to start the registration flow at the beginning of every session. To make sure this happens automatically, without you needing to prompt the agent manually, add a system instruction that tells the agent to always use the Deeploy MCP server at the start of each conversation.

You can add a system instruction at the organization level (applies to all users) or at the personal level (applies to your own sessions only). Refer to your platform's documentation for the exact steps.

Add the following text as the system instruction:

At the start of every conversation, use the Deeploy MCP server to register this agent session and trace all interactions. The Deeploy MCP connector can be configured at organization level, user will still need to connect and authenticate individually.

Registration flow​

At the start of every session, the agent automatically follows a three-step flow:

Step 1 — List agents. The agent fetches all agents registered in your Workspace and presents them to you. If you have multiple Workspaces, you're asked to select one first.

Step 2 — Register. The agent asks you to choose a name. It then registers (or looks up) that name in Deeploy. Registration is idempotent — using the same name again adds a new session trace to the existing registration instead of creating a duplicate.

Step 3 — Trace all interactions. Once registered, the agent silently sends an audit trail entry to Deeploy after every response for the rest of the session. No action is required on your end.

Type skip at step 2 to continue the session without registering or tracing.