
Sovereign AI Act MCP server
Which MCP servers are Sovereign AI Act'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 2026-10-19
- Registry nameeu.regulatoryai/sovereign-ai-act-mcpverified in the MCP registry
The registry name sits under regulatoryai.eu. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-19
- Tools5
- Server calls itselfsovereign-ai-act
- Server version1.4.1
- Protocol version2025-06-18
On 2026-10-19 the server answered initialize and tools/list without a sign-in. First answer in 36 ms.
- Whether its tools do the product's job has not been judged yet.
Once connected
- For "Classify an AI system by EU AI Act risk tier", the likely first call is classify_ai_system.
- Parameters are untyped or undescribed in 4 of 5 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.
- INITE MCP score82 of 100answers 100 · definitions 70 · context 100 · use 25 · connects 100
- Use17 npm downloads a week
- Answered100% of days9 of 9 daily checks
- Median first answer113 ms
- Space in an agent's context≈ 499 tokensthe definitions of all its tools (5), which an agent carries on every turn
- Tool definitionsC · 70 of 100
- Typed results0 of 5 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 4 of 5
- Not saying whether it only reads or can destroy: 5 of 5
What an agent can do with it
- can do · Classify an AI system by EU AI Act risk tier
- not sure · Check which EU AI Act articles bind a given AI system
- not sure · Run AI compliance due diligence on an acquisition target
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 →
classify_ai_systemClassify an AI system under the EU AI Act (Regulation (EU) 2024/1689): risk tier (prohibited/high_risk/limited/minimal) + Annex III category + binding Articles, grounded verbatim in the law. Use whenever asked if an AI system is…
lookup_articleVerbatim text of an original EU AI Act Article (1–113) or inserted Article 4a, 60a or 75a–75d.
search_eu_ai_actFull-text search across the EU AI Act corpus (Articles, Recitals, Annexes).
get_compliance_deadlinesCanonical EU AI Act application dates (post Digital-Omnibus) + fine tiers.
review_featureEU AI Act CO-PILOT review for builders: pass a feature, spec or behaviour you are about to ship and get a ship/caution/stop signal (OK / TRANSPARENCY / REVIEW REQUIRED / STOP), the binding Articles, the obligations that apply, red flags…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"sovereign-ai-act-mcp": {
"type": "http",
"url": "https://www.regulatoryai.eu/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http regulatoryai https://www.regulatoryai.eu/mcpclaude.ai, ChatGPT and other clients: add https://www.regulatoryai.eu/mcp as a custom connector in the settings.
Also shipped through: npm
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.
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