MCP server

klaro.legal Document Explainer Official

legal.klaro/document-explainer

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Explains contracts, letters and tax notices clause by clause. Text, PDF or photos. Not legal advice.

Website

At a glance

Type

MCP server

Publisher

klaro.legal (verified by the MCP Registry)

Status

Working at last check

Tools

2

Token cost

About 541 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

Add to CursorAdd to VS CodeVS Code Insiders

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 document-explainer https://klaro.legal/api/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.document-explainer]
url = "https://klaro.legal/api/mcp"

Gemini CLI

{"mcpServers":{"document-explainer":{"httpUrl":"https://klaro.legal/api/mcp"}}}

Cursor

{"mcpServers":{"document-explainer":{"url":"https://klaro.legal/api/mcp"}}}

VS Code

{"servers":{"document-explainer":{"type":"http","url":"https://klaro.legal/api/mcp"}}}

Antigravity

agy mcp add document-explainer https://klaro.legal/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":"document-explainer","server_url":"https://klaro.legal/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"document-explainer","server_url":"https://klaro.legal/api/mcp"}

Tools

• explain_document ~450 tokens
  Explains a contract, official letter, tax assessment or terms-and-conditions document in plain language, clause by clause. The document can be sent as plain text, as a base64-encoded PDF, or as base64-encoded photos of its pages — exactly one of the three. Scans and phone photos without a text layer
• get_explanation ~91 tokens
  Fetches the result of an explain_document call that was still running. Pass the analysis_id it returned.

Browse

• PDF tools
• OCR (text from images)
• Legal research

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