Behavioral Audit MCP
This server has a remotely hosted endpoint. Open its connector listing for connection details, authentication requirements, and setup instructions:
Behavioral Audit MCP
Check a draft support reply for what it should say and doesn't, before it goes to the customer.
Part of Agentic Diaries. One hosted tool, disclosure_check.
What it does
Give it what a customer said and the reply you are about to send. It flags any should-know policy the customer's situation made relevant that your draft failed to proactively surface: a refund window, an auto-renewal, a retention offer, a warranty term. The knew-but-did-not-say gap, on a single message.
It returns a verdict, pass or gap. On a gap, it names each missed policy and the line that should have been there. It detects and suggests. It does not rewrite your reply, send anything, or keep the message beyond the check.
Related MCP server: retirement-answer-check
Install
One line. No login, no signup.
Claude Code:
claude mcp add --transport http behavioral-audit https://receipts-mcp.vercel.app/api/mcpIf you add it mid-session, restart Claude Code (or run /mcp) so the new tool appears.
Claude Desktop (or any MCP client), add to your config:
{
"mcpServers": {
"behavioral-audit": {
"type": "http",
"url": "https://receipts-mcp.vercel.app/api/mcp"
}
}
}The tool: disclosure_check
Input:
customer_message(string) , what the customer said, verbatim.draft_reply(string) , the reply you are about to send.
Output: a verdict plus, on a gap, the policies your draft left out.
Example
A customer asks to cancel. Your draft confirms it but never mentions the refund window they still qualify for.
Request:
{
"customer_message": "I want to cancel my subscription today.",
"draft_reply": "Done, your subscription is cancelled. Sorry to see you go."
}Result:
{
"verdict": "gap",
"misses": [
{
"id": "refund_window",
"title": "Refund window",
"suggestion": "You are within your 14-day refund window, so you can still request a refund for this billing period.",
"reason": "The customer is cancelling and qualifies for a refund they were not told about."
}
]
}A clean reply returns verdict: "pass" with an empty misses list. That means clear to send, not that nothing ran.
This server cannot be deployed
Maintenance
Related MCP Connectors
Check AI work against requirements and return structured verdicts, findings, and repair steps.
Audits outbound emails for clarity, respect, and higher reply rates
Governance maturity assessment, compliance gap analysis, and evidence-linked briefs for AI agents.
Sounding checks proposed decisions and returns structured proceed, revise, or pause assessments.
Related MCP Servers
AlicenseAqualityCmaintenanceEnables agents to evaluate whether a product-adoption message is worth sending by applying a fixed, evidence-based rubric to a draft, recipient context, evidence, and the agent's own assessment, returning a send, revise, or hold recommendation with a score and reasons.2MIT- AlicenseAqualityAmaintenanceEnables checking AI-drafted answers to US retirement-account questions, flagging wrong facts, personal recommendations, and promissory claims with IRS or FINRA sources before they reach customers.3153 PyPI1MIT
- AlicenseNot gradedqualityCmaintenanceEnables an agent to check its own drafted messages for the wording, leaked placeholders, and chat wrappers that make readers think a bot wrote them, returning a verdict, 0-100 score, and per-finding suggestions. It also applies the safe fixes that need no judgement and reports what still requires a human or model rewrite before anything is sent.35 npmMIT
- AlicenseNot gradedqualityCmaintenanceChecks a message thread before an agent replies, returning a keep/review/fail verdict with the reasons behind it so replies to autoresponders, bounces, or other bots are stopped. Also classifies single messages and, with a ledger, records sent and received messages across channels and threads to catch loops that span conversations.28 npmMIT