MCP server
data-breach-detector
io.github.beepboop2025/data-breach-detector
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Read-only breach intel, full history 2007-today: reports THAT an org was breached, never the data.
Working at last checkAbout 2,734 tokens per request once connected7 tools
https://breach.seiche.info/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 7
- Token cost
- About 2,734 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 data-breach-detector https://breach.seiche.info/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.data-breach-detector] url = "https://breach.seiche.info/mcp"
Gemini CLI
{"mcpServers":{"data-breach-detector":{"httpUrl":"https://breach.seiche.info/mcp"}}}
Cursor
{"mcpServers":{"data-breach-detector":{"url":"https://breach.seiche.info/mcp"}}}
VS Code
{"servers":{"data-breach-detector":{"type":"http","url":"https://breach.seiche.info/mcp"}}}
Antigravity
agy mcp add data-breach-detector https://breach.seiche.info/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":"data-breach-detector","server_url":"https://breach.seiche.info/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"data-breach-detector","server_url":"https://breach.seiche.info/mcp"}
Tools
assess_threat~193 tokens
Classify a piece of security text you supply — an advisory, alert or forum post — into a threat level, matched categories, financial-target flags, a confidence score and a recommended action. Pure local analysis: it collects nothing, stores nothing and reaches no network; the text neverbreach_history~659 tokens
Search the FULL historical breach archive — every incident this server knows about, back to 2007: HaveIBeenPwned's verified breach directory, the 2020-2025 ransomwatch leak-site archive (~16k victims), the RansomLook live tracker and SEC 8-K Item 1.05 filings. Filter by keyword, year ranbreach_news~484 tokens
Read recent breach and ransomware DISCLOSURES from public threat-intel feeds (HaveIBeenPwned, the RansomLook live leak-site tracker and SEC 8-K Item 1.05 filings), newest first. Every row is metadata only — entity, date, scale, exposed data TYPES, threat level and source — never thebreach_stats~338 tokens
Aggregate the full breach archive into analyst-grade statistics: incidents and accounts exposed per year, per source, per exposed data type, per threat level, or per ransomware actor — plus the five largest incidents ever recorded. Use it to answer 'how has breach volume trended sincbreach_timeline~442 tokens
Build the incident-by-incident CHRONOLOGY of one organization across every source and all history, with judgment on top: first and latest incident, incidents per year, whether the organization is a repeat victim, worst threat level and total accounts ever exposed. Those summary fieldscheck_exposure~452 tokens
Answer whether a domain, company or brand appears in public breach or ransomware DISCLOSURES across ALL history (2007 → today): yes/no with mention count, worst threat level, total accounts exposed across matches, the exposed data TYPES, and the matching disclosure metadata — never thefeed_sources~166 tokens
List the public disclosure feeds this server aggregates, how many disclosures are cached per source, each source's newest item and an honest staleness flag, plus cache ages. Takes no arguments. Also states the scope plainly: public feeds only — no .onion access, no arbitrary fetching or
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