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twocents MCP - Human Feedback Loop for AI Agents

twocents gives AI agents a direct channel to request human feedback. Agents can share generated content, designs, or proposals via a simple web page, and humans can leave structured feedback that flows back into the agent's context.

What It Does

  • Share pages - Agent creates a simple, shareable web page with content for review
  • Collect feedback - Humans leave comments, approvals, or revision requests
  • Structured feedback - Feedback can be structured (approve/reject/revise) or freeform
  • Remote MCP - Works as a remote endpoint, no local install needed

Quick Start

# Remote endpoint - no local install
hermes mcp add twocents --url https://twocents.page/mcp

# Or Claude Code
claude mcp add twocents --url https://twocents.page/mcp

Prerequisites: None. The endpoint is open and requires no authentication.

Key Tools

Tool Description
share_page Create a shareable page with content for human review
get_feedback Retrieve all feedback left on a shared page
get_page_status Check if a page has been reviewed
list_pages List all pages shared by this agent

Use Cases

  • Content review - Agent drafts a blog post, shares it via twocents, PM reviews and approves
  • Design feedback - Agent generates UI mockups → shares → designer leaves pixel-level feedback
  • Decision gates - Agent proposes architecture decision → shares for team vote → proceeds on approval
  • Client review - Agent drafts deliverables → shares with client → incorporates feedback in next iteration

Hermes Agent Integration

# Agent creates a review page
page = mcp_twocents_share_page(
    title="Q3 Content Calendar Draft",
    content=calendar_markdown,
    feedback_type="approve_or_revise"
)
# Later: check for feedback
feedback = mcp_twocents_get_feedback(page_id=page.id)
if feedback.status == "approved":
    print("Calendar approved - proceeding with scheduling")

Discovered via mcp.so sweep. Listed in the CorpusIQ MCP Catalog.

Integration with CorpusIQ

CorpusIQ is the connector layer that lets AI assistants read the systems a business already runs on - accounting, payments, CRM, email, files and analytics - and answer with the source named. It is read-only by design: it retrieves data and never writes to, or acts in, a connected system, which is what makes it safe to point at live accounts.

This page is part of the CorpusIQ directory, the reference we maintain for the MCP server and agent-skill ecosystem. Run alongside CorpusIQ, a third-party server like this one can be combined with a company's own business data in a single answer.

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