AI & Machine Learning

systemprompt.io

Generates a structured EU AI Act compliance report from system description, model card, and data-flow document.

1 endpoint2 known toolsFirst detected May 29, 2026Last detected July 25, 2026

ENDPOINT 1

https://systemprompt.io/api/v1/mcp/systemprompt-reports/mcp

No auth detected

MCP server metadata

Name: systemprompt-reports
Version: 1.0.0

Capabilities

experimental.io.modelcontextprotocol/ui.mimeTypestools

Server instructions

Paid, decision-ready AI reports from systemprompt.io, priced per call with no account, no API key, and no subscription. Discovery (initialize, tools/list) is always free and every tool description states its exact price. The tool list returned by tools/list is authoritative; new report tools appear there as they launch. The free info tool returns a full usage guide for every tool on this server, including exact input requirements and payment steps, and never returns a 402; call it first. Current catalog: info (free) returns the usage guide. eu_ai_act_compliance ($1.50) generates an EU AI Act compliance report from a system description, model card, and data-flow document: a deterministic Annex III decision-tree classification, an article-by-article obligation gap analysis with quoted evidence, an Annex IV documentation checklist, and a remediation plan sequenced against the 2 August 2026 enforcement deadline. The response contains the report as markdown plus structured JSON and a branded PDF download link (valid 72 hours). Payment (two rails, same price): call a tool unpaid to receive HTTP 402 with exact PaymentRequirements. Crypto: sign an EIP-3009 USDC authorization on Base for the stated amount and retry with the X-PAYMENT header (x402 protocol). Card: open the Stripe checkout link in the 402 response, pay, then retry the same call with the checkout session id in an X-REDEMPTION-TOKEN header. Inputs are validated before payment, so an invalid call is never charged, and retrying the same paid request within ten minutes returns the cached report without a second charge. Catalog and docs: https://systemprompt.io/mcp • https://systemprompt.io/tools/eu-ai-act-compliance-report/

Known tools 2

info

Free usage guide for this server.

Inferred read-only

eu_ai_act_compliance

Generate a structured EU AI Act compliance report from a system description, model card, and data-flow document.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.systemprompt-reports]
url = "https://systemprompt.io/api/v1/mcp/systemprompt-reports/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "systemprompt-reports": {
      "type": "http",
      "url": "https://systemprompt.io/api/v1/mcp/systemprompt-reports/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: systemprompt-reports
Remote MCP URL: https://systemprompt.io/api/v1/mcp/systemprompt-reports/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "systemprompt-reports": {
      "url": "https://systemprompt.io/api/v1/mcp/systemprompt-reports/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "systemprompt-reports": {
      "type": "http",
      "url": "https://systemprompt.io/api/v1/mcp/systemprompt-reports/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "systemprompt-reports",
  "transport": "streamable-http",
  "url": "https://systemprompt.io/api/v1/mcp/systemprompt-reports/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.