MCP server

Policy Pal Official

link.policypal/policypal

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

Grounded, quoted readings of privacy policies and terms of service. Not legal advice.

Working at last checkVerified publisher: policypal.linkAbout 1,237 tokens per request once connected3 tools

https://api.policypal.link/mcp

At a glance

Type: MCP server
Publisher: policypal.link (verified by the MCP Registry)
Status: Working at last check
Tools: 3
Token cost: About 1,237 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 28 Oct 2026, 09:03 UTC

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 policypal https://api.policypal.link/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.policypal]
url = "https://api.policypal.link/mcp"

Gemini CLI

{"mcpServers":{"policypal":{"httpUrl":"https://api.policypal.link/mcp"}}}

Cursor

{"mcpServers":{"policypal":{"url":"https://api.policypal.link/mcp"}}}

VS Code

{"servers":{"policypal":{"type":"http","url":"https://api.policypal.link/mcp"}}}

Antigravity

agy mcp add policypal https://api.policypal.link/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":"policypal","server_url":"https://api.policypal.link/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"policypal","server_url":"https://api.policypal.link/mcp"}

check_policy ~444 tokens
Read one privacy policy or terms-of-service page and return a grounded verdict, eight fixed yes/no/partly/not-stated answers, and up to five findings, each with a verbatim quote from the document. Use this instead of fetching and reading the page yourself. A policy page is 20,000-60,000 tokens of c
compare_policies ~426 tokens
Answer the same eight fixed questions across two to five services at once, so their policies can actually be compared. Use this instead of reading each document yourself. Doing it yourself needs N full reads and a rubric you have to keep consistent between them; the questions here are fixed, so a d
policy_changes_since ~367 tokens
Say what changed in a service's policy since a date, expressed as changes to the eight fixed answers. You cannot do this yourself at any context size: it needs the earlier version of the document, and the earlier version is gone from the web. Policy Pal keeps the eight answers for every version it

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