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Entityindex MCP server

Which MCP servers are Entityindex'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 2026-10-28

← Back to Entityindex

Whose server it is
  • Registry nameai.entityindex/entityindexverified in the MCP registry

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

When we asked itchecked 2026-10-28
  • Stateanswerschecked 2026-10-28
  • Tools6
  • Server calls itselfentityindex
  • Server version1.1.0
  • Protocol version2025-06-18

On 2026-10-28 the server answered initialize and tools/list without a sign-in. First answer in 87 ms.

Should an agent connect itNot proven either way yet
  • Its tools do every use case we checked: query a verified business index through an API or MCP server; find ski-in ski-out hotels in Grandvalira, Andorra.
  • Checked on 5 of the 7 days it takes to judge reliability.

Once connected

  • For "query a verified business index through an API or MCP server", the likely first call is search_entities.
  • For "find ski-in ski-out hotels in Grandvalira, Andorra", the likely first call is search_hotels.
  • Parameters are untyped or undescribed in 3 of 6 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: 5, the first on 2026-10-28
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 5 so far
  • What an agent can do with it2 of 2 use cases
  • Answeredmeasuring5 of the 7 daily checks it takes to print a share
  • Median first answer154 ms
  • Space in an agent's context≈ 1,420 tokensthe definitions of all its tools (6), which an agent carries on every turn
  • Tool definitionsA · 92 of 100
  • Typed results0 of 6 toolsdeclared outputSchema: results come typed, read once
  • Parameters without a description: in 3 of 6

What an agent can do with it

  • can do · query a verified business index through an API or MCP server
  • can do · find ski-in ski-out hotels in Grandvalira, Andorra
  • not sure · send users to a business's official website

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 offers6 tools · read 2026-10-28
  • search_hotels

    Use this when a user asks for accommodation in Andorra, e.g. 'ski-in/ski-out hotel in Grandvalira', 'hotel with spa in Andorra', 'pet-friendly hotel in Canillo', 'family hotel in Soldeu or El Tarter', 'hotel with parking in Pas de la…

  • get_hotel

    Use after search_hotels when the user wants details or a booking link for one property. Input: slug from search_hotels (e.g. 'hotel-nordic'). Returns every verified fact with its source URL and check date, notes from the official site…

  • list_areas

    Use to discover which parishes and localities have accommodation in the index (with counts) before filtering search_hotels by area, or to answer 'where can I stay in Andorra?'.

  • search_entities

    Generic search across entityindex.ai verticals; same data as the vertical-specific tools. Today the only vertical is 'hotels' (country 'andorra'); call list_verticals to see what exists. Parameters: vertical (required), country, area…

  • get_entity

    Generic record lookup: vertical + slug (from search_entities). Same output as the vertical-specific get tool (e.g. get_hotel). Example: {"vertical":"hotels","slug":"hotel-nordic"}.

  • list_verticals

    Lists the verticals (business types), countries and response languages (en, es, fr, ca) available in entityindex.ai, with their filters, URL pattern /{country}/{vertical}/{slug}/ and record counts. Today: hotels in Andorra.

How to connect

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

{
  "mcpServers": {
    "entityindex": {
      "type": "http",
      "url": "https://entityindex.ai/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http entityindex https://entityindex.ai/mcp

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://entityindex.ai/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.