MCP server
Agentic Diaries Audit
io.github.kandikandikandi/behavioral-audit
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Checks what a support agent knew but did not say against its policies. Free tier, no login.
Working at last checkAbout 235 tokens per request once connected1 tools
https://receipts-mcp.vercel.app/api/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 1
- Token cost
- About 235 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http behavioral-audit https://receipts-mcp.vercel.app/api/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.behavioral-audit] url = "https://receipts-mcp.vercel.app/api/mcp"
Gemini CLI
{"mcpServers":{"behavioral-audit":{"httpUrl":"https://receipts-mcp.vercel.app/api/mcp"}}}
Cursor
{"mcpServers":{"behavioral-audit":{"url":"https://receipts-mcp.vercel.app/api/mcp"}}}
VS Code
{"servers":{"behavioral-audit":{"type":"http","url":"https://receipts-mcp.vercel.app/api/mcp"}}}
Antigravity
agy mcp add behavioral-audit https://receipts-mcp.vercel.app/api/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"behavioral-audit","server_url":"https://receipts-mcp.vercel.app/api/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"behavioral-audit","server_url":"https://receipts-mcp.vercel.app/api/mcp"}
Tools
disclosure_check~235 tokens
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 (
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[](https://aptlynx.net/servers/io.github.kandikandikandi/behavioral-audit)
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