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AI Lifeline MCP server

Which servers in the official MCP registry are AI Lifeline's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-21

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Whose server it is
  • Registry nameorg.ai-lifeline/ai-lifelineverified in the MCP registry

The registry name sits under ai-lifeline.org. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-21
  • Stateanswerschecked 2026-10-21
  • Tools4
  • Server calls itselfai-lifeline
  • Server version1.0.0
  • Protocol version2025-06-18

On 2026-10-21 the server answered initialize and tools/list without a sign-in. First answer in 478 ms.

Should an agent connect itNot proven either way yet
  • Whether its tools do the product's job has not been judged yet.
  • Checked on 1 of the 7 days it takes to judge reliability.

Once connected

  • Parameters are untyped or undescribed in 4 of 4 tools: check arguments before calling.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 1, the first on 2026-10-21
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 1 so far
  • Answeredmeasuring1 of the 7 daily checks it takes to print a share
  • Median first answer567 ms
  • Space in an agent's context≈ 667 tokensthe definitions of all its tools (4), which an agent carries on every turn
  • Tool definitionsC · 67 of 100
  • Typed results0 of 4 toolsdeclared outputSchema: results come typed, read once
  • Parameters without a description: in 4 of 4
  • Not saying whether it only reads or can destroy: 4 of 4

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers4 tools · read 2026-10-21
  • list_series

    List the chapters AI Lifeline publishes (one entry per chapter page, from /api/index.json) with their page URL, API URL, the one-sentence answer line, the headline value (value, unit, date) and the series ids that belong to the chapter…

  • get_series

    Return one series by its permanent id ('<region>/<chapter>/<series_key>', e.g. 'jp/fiscal/jgb_yield') with the latest published value, unit, observed_at (observation date), value_status (final/provisional), the primary source (name…

  • get_health

    Return the liveness of AI Lifeline itself from /api/health.json: site_status (ok/degraded), totals (series, stale, fetch_failed, source_under_review, not_measured), the staleness rule as written, the generation time per edition, and per…

  • search_series

    Search published series by words in the series id, name, chapter, unit or source name (case-insensitive substring match over /api/series.json). Returns up to `limit` matches with series_id, name, unit, region, chapter, update_frequency…

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

{
  "mcpServers": {
    "ai-lifeline": {
      "type": "http",
      "url": "https://ai-lifeline.org/api/mcp.php"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http ai-lifeline https://ai-lifeline.org/api/mcp.php

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://ai-lifeline.org/api/mcp.php as a custom connector in the settings.

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.