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

read 2026-10-27

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Whose server it is
  • Registry namecom.lightningeo/ai-visibility-dataverified in the MCP registry

The registry name sits under lightningeo.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-27
  • Stateanswerschecked 2026-10-27
  • Tools8
  • Server calls itselflightning-data
  • Server version1.0.0
  • Protocol version2025-06-18

On 2026-10-27 the server answered initialize and tools/list without a sign-in. First answer in 280 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 2 of the 7 days it takes to judge reliability.

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: 2, the first on 2026-10-27
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 2 so far
  • Answeredmeasuring2 of the 7 daily checks it takes to print a share
  • Median first answer213 ms
  • Space in an agent's context≈ 1,138 tokensthe definitions of all its tools (8), which an agent carries on every turn
  • Tool definitionsA · 98 of 100
  • Typed results0 of 8 toolsdeclared outputSchema: results come typed, read once
  • Parameters without a description: in 1 of 8

What an agent can do with it

  • not sure · measure how often AI models mention a brand
  • not sure · identify gaps in the AI-generated narrative about a brand
  • not sure · track brand citations across ChatGPT, Gemini and Claude

Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?

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 (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). 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 offers8 tools · read 2026-10-27
  • listar_estudios

    Lista los estudios disponibles (gratis): industria, país, fecha, cantidad de respuestas y hallazgos, y precio. Usala para ver qué datos de visibilidad IA de Argentina y el Cono Sur hay (banca, cosmética, seguros, farma y laboratorios…

  • buscar_estudios

    Busca estudios por industria, tema, producto, marca o país (gratis). Ej.: 'seguros de auto', 'protector solar', 'hoteles Córdoba', 'dermatitis'. / Search studies by industry, topic, brand or country (free).

  • ver_ficha

    Ficha gratis de un estudio: metodología, muestra, modelos usados, dimensiones del universo de preguntas, índice de análisis y de hallazgos, y ejemplos de preguntas y respuestas. No incluye los números de los análisis ni los hallazgos. /…

  • ver_metricas

    Definiciones de las métricas Lightning (Protagonismo IA, mención, orden, Top1, citación, HHI, variabilidad, supervivencia, tono). Gratis. / Metric definitions.

  • como_comprar

    Explica cómo comprar un estudio (precio, redes, wallet de cobro, pasos con x402 por HTTP o por MCP). Gratis. / How to buy.

  • search

    Searches Lightning's AI-visibility studies (how ChatGPT, Gemini and Claude answer people and agents: brands recommended, order, arguments, sources) by industry, topic, brand or country. Returns ids to use with fetch. Free and read-only…

  • fetch

    Returns the free sheet of a study by id (from search): methodology, sample, models, question-universe design, index of analyses and findings, price and how to buy. Analysis numbers and findings are only in the paid study. Free and…

  • comprar_estudio

    PAGO por llamada en USDC (x402). Entrega el estudio: diseño del universo, hallazgos con su respaldo numérico y evidencia, métricas e índice de análisis, más links de descarga (7 días) al paquete completo con todas las tablas de análisis y…

How to connect

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

{
  "mcpServers": {
    "ai-visibility-data": {
      "type": "http",
      "url": "https://api.lightningeo.com/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http lightningeo https://api.lightningeo.com/mcp

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://api.lightningeo.com/mcp 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.