Pro

What the pro MCP server does

The pro MCP server adds a human review step to AI-agent workflows that use the Model Context Protocol. Its stated purpose is to handle durable approvals, giving an agent a way to request authorization and a human a way to review that request before the workflow continues.

Reviewers use a hosted review page rather than relying only on the agent conversation. The service also maintains an audit trail, which provides a record of the approval activity associated with the workflow. This makes the pro MCP server relevant to tasks where an agent should not act without an explicit human decision or where review history needs to be available afterward.

The available description does not identify a particular source system, API, database, or productivity application that pro connects to. Its documented scope is the approval and review layer for AI agents over MCP.

How it works

An AI agent uses MCP to interact with the approval workflow. When human authorization is needed, the workflow can use pro’s durable approval capability and direct the reviewer to the hosted review page. The reviewer’s decision is handled as part of that process, while the audit trail preserves the recorded review activity.

The listing does not specify the exact MCP tool names, request fields, response formats, authentication model, or behavior after an approval is rejected or expires. Developers should verify those details in the product documentation before implementing against the pro MCP server.

Setup and configuration

No installation commands, transport details, configuration files, or environment variables are provided in the supplied material. The source identifies the product website as https://www.elicitly.ai, but it does not document whether pro runs locally, connects to a hosted endpoint, or requires an account.

Before deployment, confirm how the MCP endpoint is added to the intended client, how agents create approval requests, and how reviewers access the hosted page. Also check what audit data is retained and which users can view or resolve requests.

Tools and capabilities

Documented capabilities include:

• Human-in-the-loop review for AI agents
• Durable approval handling over MCP
• A hosted page for reviewing approval requests
• An audit trail for review activity

The supplied description does not expose individual tool names or list additional integrations. Treat the pro MCP server as an approval-focused component until its full tool schema is available.

Limitations and notes

The available README is unavailable, so client compatibility, licensing, authentication, deployment requirements, and environment variables cannot be confirmed. No claim can be made here about support for a specific editor or agent client. The description also does not define the types of actions that can be approved, the retention period for audit records, or the security controls around the hosted review page.