MEOK CRA Annex Iv Classifier MCP
Meok Cra Annex Iv Classifier MCP
EU Cyber Resilience Act product classifier ā Annex III + Annex IV designations + Annex I requirements audit + signed certificates.
EU CRA (Cyber Resilience Act, Reg 2024/2847) Annex IV classifier ā 9-category essential security ...
EU CRA (Cyber Resilience Act, Reg 2024/2847) Annex IV classifier ā 9-category essential security requirements with HMAC-signed compliance attestations. By MEOK AI Labs.
š Quick Start
# Install via pip
pip install meok_cra_annex_iv_classifier_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install meok-cra-annex-iv-classifier-mcp --client claudeRelated MCP server: Dataprivacy AI MCP
⨠Features
MCP protocol compliant
Easy installation
Well-documented API
Production-ready
Active maintenance
Free ā 10 classifications/day
Pro Ā£199/mo ā unlimited + signed certs + monthly Annex III/IV update alerts ā subscribe
Enterprise Ā£1,499/mo ā multi-product + custom designation rules
Ā£199 per-product cert ā one-off signed classification
š Documentation
š”ļø Compliance
This MCP server is built with EU AI Act compliance built-in:
ā Article 9 ā Risk Management System
ā Article 13 ā Transparency & Instructions for Use
ā Article 15 ā Bias Detection & Testing
ā Article 26 ā FRIA Support (where applicable)
ā Article 50 ā AI Content Watermarking (where applicable)
Need help getting compliant? Book a free 15-min diagnostic ā
š¢ Enterprise
Need custom development, SLA guarantees, or white-label deployment?
Pro: $99/mo ā Full MCP suite + EU AI Act tracking
Enterprise: $499/mo ā Custom dev + SLA + Dedicated support
View Pricing ā | Contact Sales ā
š¤ Part of the MEOK Ecosystem
This server is part of the MEOK AI Labs ecosystem ā 300+ MCP servers for sovereign AI governance.
Domain | Purpose |
EU AI Act compliance marketplace | |
AI safety & monitoring | |
Sovereign AI platform | |
Legacy modernization |
š License
MIT Ā© CSOAI-ORG
Pairs with MEOK Governance Suite
Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool ā EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.
# One-shot install of the governance pack
npx meok-setup --pack governanceFree tier: 10 calls/day per MCP. Pro tier (Ā£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.
ā Full catalogue: councilof.ai/catalogue ā MEOK AI Labs: meok.ai
šø Try MEOK in 30 seconds ā instant buy ladder
Tier | Price | What you get | Stripe |
Smoke test | £1 | Signed sample MCP-Hardening report + Article 50 PDF | |
Quick Kit | £9 | EU AI Act Article 50 implementation guide (C2PA + EU-Icon) | |
Founder Call | £29 | 30-min 1-on-1 with the founder |
Refundable. UK Stripe ā VAT-clean. Builds on the 81-MCP MEOK fleet. Verify any signed report at https://meok.ai/verify.
Configuration
Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"meok-cra-annex-iv-classifier-mcp": {
"command": "uvx",
"args": ["meok-cra-annex-iv-classifier-mcp"]
}
}
}Or: pip install meok-cra-annex-iv-classifier-mcp then run the meok-cra-annex-iv-classifier-mcp command (stdio transport).
Examples
Once configured, ask your assistant, for example:
"Use
classify_productto ā¦""Use
audit_essential_requirementsto ā¦""Use
generate_doc_templateto ā¦"
Available Tools
4 toolsaudit_essential_requirementsA
Audit a product against the 15 Annex I + II essential requirements. Pass comma-separated requirement IDs that are satisfied (e.g. "1.1,1.2,2.1").
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No | ||
| product_name | Yes | ||
| requirements_satisfied_csv | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It states the action (audit) and input format but omits side effects, idempotency, or whether it modifies state. 'Audit' suggests read-only, but not explicit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, zero waste. Front-loaded with purpose, followed by parameter format hint. Each sentence serves a clear function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Output schema exists but unseen. Description covers purpose and key parameter format. Missing usage context, prerequisites, or error scenarios. Adequate for a straightforward audit but not rich.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% coverage (only titles). Description adds meaning to 'requirements_satisfied_csv' by specifying format (comma-separated IDs) and example. However, 'api_key' and 'product_name' remain minimally described. Compensates significantly but not fully.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Verb 'audit' combined with specific resource '15 Annex I + II essential requirements' clearly states what the tool does. Differentiates from siblings (classify, generate doc, sign cert) which have distinct purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Implies usage for auditing compliance against essential requirements, but no explicit when-to-use, when-not-to-use, or alternatives. The examples suggest typical input format but no contextual guidance relative to sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
classify_productC
Classify a product with digital elements (PDE) into the CRA class hierarchy.
Returns: suggested class, conformity path, fines exposure, next steps.
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No | ||
| product_name | Yes | ||
| product_description | Yes | ||
| intended_for_consumer_use | No | ||
| has_remote_data_processing | No | ||
| intended_for_critical_infrastructure | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavioral traits. It mentions return values (suggested class, conformity path, fines exposure, next steps) but does not state whether the tool is read-only, whether it requires authentication, or any side effects. The lack of detail on behavior limits transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short (two sentences) and front-loads the purpose. It is efficient, but the returns section could be more structured. Overall, it is concise without unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 6 parameters, 0% schema descriptions, no annotations, and an output schema exists, the description is incomplete. It does not explain what 'CRA class hierarchy' is, how the parameters influence classification, or any usage context. The output schema existence slightly reduces the burden, but the description still lacks crucial information for proper invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, meaning no parameter descriptions are provided. The tool description also does not explain the meaning of any parameters beyond their names. For example, 'api_key' and 'product_description' are self-explanatory, but 'intended_for_consumer_use' and similar booleans lack context. The description fails to add value over the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Classify' and the resource 'product with digital elements (PDE)' into 'CRA class hierarchy'. It is distinct from sibling tools like audit_essential_requirements, generate_doc_template, and sign_classification_cert, which focus on auditing, document generation, and certification.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. It only states what it does, leaving the agent to infer usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
generate_doc_templateC
Generate the Annex VIII technical documentation skeleton for a given class.
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No | ||
| class_key | No | default |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so description carries full burden. It does not disclose authentication needs (api_key), output format, or whether the operation is safe or destructive. Minimal behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence with 10 words, no redundancy. However, it is too brief for a 2-parameter tool with no schema descriptions, sacrificing completeness for brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Output schema exists but is not referenced. Parameters lack explanation, and usage context (e.g., what 'skeleton' implies) is missing. Incomplete for an agent to use effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%; description only explains 'class' indirectly via 'for a given class'. The api_key parameter is entirely unexplained. Defaults exist but no semantic cues.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description uses specific verb 'generate' and resource 'Annex VIII technical documentation skeleton', clearly distinguishing from sibling tools like audit, classify, or sign.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives. While siblings differ in actions, the description does not provide context or exclusion criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
sign_classification_certC
Generate a HMAC-SHA256 signed CRA classification certificate (Pro/Enterprise).
| Name | Required | Description | Default |
|---|---|---|---|
| No | |||
| api_key | No | ||
| entity_name | Yes | ||
| findings_csv | No | ||
| product_name | Yes | ||
| annex_i_score | Yes | ||
| classification_class_key | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It adds minimal behavioral insight beyond the tool name, only noting the signing algorithm and edition. It fails to disclose side effects, authorization requirements, or idempotency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no wasted words. It is concise and direct, though it sacrifices completeness for brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite the existence of an output schema, the description leaves many gaps: parameter meanings, prerequisites, usage context, and behavioral details. It is insufficient for an agent to fully understand and correctly invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0% (no descriptions), and the description does not explain any of the 7 parameters (e.g., entity_name, annex_i_score). The agent has no semantic understanding of what each parameter represents from the description alone.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Generate' and the specific resource 'CRA classification certificate', including the signing algorithm (HMAC-SHA256) and edition (Pro/Enterprise). This differentiates it from sibling tools like classify_product and generate_doc_template.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool over siblings or in what context. There is no mention of prerequisites, conditions, or exclusions, leaving the agent without direction on appropriate usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
4 tool updates
v1.1.7- First observed
audit_essential_requirements - First observed
classify_product - First observed
generate_doc_template - First observed
sign_classification_cert
TDQS
Each tool has a distinct purpose: auditing requirements, classifying products, generating documentation templates, and signing certificates. No overlap or ambiguity.
All tool names follow a consistent verb_noun pattern using snake_case, making them predictable and easy to understand.
With 4 tools, the server is tightly scoped to the CRA classification domain without unnecessary extras, perfectly matching its purpose.
The tool set covers the entire classification workflow: auditing requirements, classifying, generating docs, and signing certificates, with no obvious gaps.
Maintenance
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