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AI Literacy Training & AI Agents for Teams MCP server

Which MCP servers are AI Literacy Training & AI Agents for Teams'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 2026-10-26

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Whose server it is
  • Registry nameio.spingras/mcpverified in the MCP registry

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

When we asked itchecked 2026-10-26
  • Stateanswerschecked 2026-10-26
  • Tools4
  • Server calls itselfspingras
  • Server version0.1.0
  • Protocol version2025-06-18

On 2026-10-26 the server answered initialize and tools/list without a sign-in. First answer in 305 ms.

Should an agent connect itSkip it
  • Its tools do none of the product's use cases we checked: Train staff on AI tools using their own daily workflows; Flag unusual wholesale orders with a learned normal-pattern model; Build dashboards showing e-commerce customers at risk of churning.
  • Checked on 2 of the 7 days it takes to judge reliability.

Once connected

  • Parameters are untyped or undescribed in 2 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: 2, the first on 2026-10-26
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 2 so far
  • What an agent can do with it0 of 3 use cases
  • Answeredmeasuring2 of the 7 daily checks it takes to print a share
  • Median first answer173 ms
  • Space in an agent's context≈ 845 tokensthe definitions of all its tools (4), which an agent carries on every turn
  • Tool definitionsA · 92 of 100
  • Typed results0 of 4 toolsdeclared outputSchema: results come typed, read once
  • Parameters without a description: in 2 of 4

What an agent can do with it

  • cannot · Train staff on AI tools using their own daily workflows
  • cannot · Flag unusual wholesale orders with a learned normal-pattern model
  • cannot · Build dashboards showing e-commerce customers at risk of churning

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 offers4 tools · read 2026-10-26
  • list_services

    Company facts, selected work and the four ways to work with SpinGras: workshop (with price), 90-day rollout, keynote, retainer.

  • assess_article4_readiness

    Checks an organisation's AI literacy measures against Article 4 of the EU AI Act and returns prioritised gaps with sources. Deterministic, not legal advice.

  • get_intro_slots

    Returns open 30-minute intro call slots with SpinGras, grouped by date.

  • request_intro

    Builds a prefilled booking link for a 30-minute intro call. Does not book anything: give the link to the user to confirm a time themselves.

How to connect

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

{
  "mcpServers": {
    "spingras": {
      "type": "http",
      "url": "https://mcp.spingras.io/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http spingras https://mcp.spingras.io/mcp

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://mcp.spingras.io/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.