MCP.Market

Agentic Diaries Audit MCP server

online · 100% uptime
by kandikandikandi·io.github.kandikandikandi/behavioral-audit·v0.1.0
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Checks what a support agent knew but did not say against its policies. Free tier, no login.

A87/100grade A
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Safety scan
A87/100

full report

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If you have run it, two minutes of your experience saves the next person an afternoon.

Agentic Diaries Audit tools (1)

write = sends, deletes, buys or posts
  • disclosure_checkFree

    Check a draft support reply for disclosure gaps before sending it. Given what the customer said and the reply you are about to send, it flags any should-know policy the customer's situation made relevant that the draft failed to proactively surface (the knew-but-did-not-say gap). Returns a verdict (pass or gap); on a gap, each missed policy and the line that should have been surfaced. It detects and suggests, it does not rewrite.

Public scan report

scanner v0.1.9 · 2026-09-25 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 1701ms20/20
  • Tool poisoning1 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 68 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 87/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Agentic Diaries Audit compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
87/100
higher than 78% of 4,460 AI and agents servers
Tools
1
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
222 ms
faster than 61% of 2,331 AI and agents servers

What its tools let an agent do: 1 read

Install Agentic Diaries Audit in Claude Code, Cursor or VS Code

claude mcp add --transport http behavioral-audit https://receipts-mcp.vercel.app/api/mcp
Add to Cursor

What the publisher says

From the Agentic Diaries Audit repository's README, as published. We do not edit it. Read it on GitHub

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.

Install

One line. No login, no signup.

Claude Code:

claude mcp add --transport http behavioral-audit https://receipts-mcp.vercel.app/api/mcp

If 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.

Nothing above is checked by us. What we check is on the safety report.

Agentic Diaries Audit: common questions

Is Agentic Diaries Audit MCP server safe?
Yes, by our scan: it is graded A (87/100). Read the Agentic Diaries Audit safety report
How do I install Agentic Diaries Audit?
It runs remotely at receipts-mcp.vercel.app. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Agentic Diaries Audit need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Agentic Diaries Audit maintained?
The last commit was 108 days ago (2026-07-19). The latest release is v0.1.0.
Is Agentic Diaries Audit up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Agentic Diaries Audit?
Servers from other publishers that do the same job: three.ws Provenance MCP server, paper-preflight MCP server and IWE (iwe.md) MCP server.
How does Agentic Diaries Audit compare with other AI and agents MCP servers?
safety score 87/100 (higher than 78% of 4,460 AI and agents servers); tools 1 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Agentic Diaries Audit

Same job from other publishers: the closest match first, then the best rated.

  • three.ws Provenance
    Append-only, signed, on-chain-verifiable agent action log — record and audit what agents did.
    B
  • paper-preflight
    Checks every LaTeX reference against Crossref, dblp, arXiv, DataCite, PubMed and OpenAlex. No LLM.
    A
  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • Roast My Design System
    Audit your Design System and serve your Agent the rules that keep AI-written UI on-system.
    A
  • PDF
    Agentic RAG over one PDF or a whole folder: hybrid search, selective page reads, tables, OCR.
    A