MCP server

attest — verification for AI agent artifacts

io.github.mrpkk/attest

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

Verify an AI agent artifact: schema, emptiness, provenance and mandate authority, Ed25519-signed.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

2

Token cost

About 497 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 attest https://attest.rta.lat/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.attest]
url = "https://attest.rta.lat/mcp"

Gemini CLI

{"mcpServers":{"attest":{"httpUrl":"https://attest.rta.lat/mcp"}}}

Cursor

{"mcpServers":{"attest":{"url":"https://attest.rta.lat/mcp"}}}

VS Code

{"servers":{"attest":{"type":"http","url":"https://attest.rta.lat/mcp"}}}

Antigravity

agy mcp add attest https://attest.rta.lat/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":"attest","server_url":"https://attest.rta.lat/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"attest","server_url":"https://attest.rta.lat/mcp"}

Tools

• verify_artifact ~267 tokens
  Verify an artifact produced by an AI agent before accepting or paying for it. Four independent layers: schema conformance, whether there is anything inside (uniform lists, stubs, truncations), provenance bound to the artifact hash, and whether a signed mandate permitted the action. Returns a verdict
• verify_artifact_batch ~230 tokens
  Verify several artifacts at once — a scan report, a list of findings, a set of tool descriptions. One call, one verdict per artifact, plus a summary of how many were accepted, need review, or were rejected. Use when an agent produced a batch (twenty findings from a security scan, for example) and ea

Browse

• GitHub tools
• Payments
• GitHub and code hosting
• Security scanning
• Calling other AI models

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