Server data from the Official MCP Registry
Makuri (EU AI tutoring for immigrant children): 11 tools, 2 interactive panels, no user data.
Makuri (EU AI tutoring for immigrant children): 11 tools, 2 interactive panels, no user data.
Remote endpoints: streamable-http: https://mcp.cogniledger.eu/mcp
CogniLedger MCP Server is a well-designed, public read-only metadata server for the Makuri EdTech platform with strong security posture. The codebase demonstrates excellent architectural decisions: no authentication required (appropriate for public metadata), no external API calls, no database access, and deliberately minimal logging (JSON-structured, no sensitive data). Minor code quality observations around error handling and input validation do not materially impact the security profile. Permissions align precisely with the server's stated purpose. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 1 high severity).
5 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
A public, read-only Model Context Protocol server operated by CogniLedger Solutions S.R.L. (Bucharest, Romania). It exposes structured metadata about the Makuri EdTech platform — 11 tools (9 info tools + 2 interactive MCP Apps panels), 3 markdown resources, and 2 guided prompts, covering mission, languages, teaching approach, pricing, safety, compliance posture, tech stack, contact channels, and free public learning resources.
This is a reference deployment demonstrating production MCP patterns under EU compliance constraints. Makuri is a High Risk AI system under EU AI Act Annex III, paragraph 3 (educational AI for minors); the v1 scope of this server is therefore deliberately narrow: metadata only, no user data, no PII, no aggregated analytics.
https://mcp.cogniledger.eu/mcpEdit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"cogniledger-makuri": {
"url": "https://mcp.cogniledger.eu/mcp"
}
}
}
Restart Claude Desktop. The tools appear under the connector picker.
In Le Chat settings, add a new MCP connector:
https://mcp.cogniledger.eu/mcpEdit ~/.cursor/mcp.json:
{
"mcpServers": {
"cogniledger-makuri": {
"url": "https://mcp.cogniledger.eu/mcp"
}
}
}
| Tool | Description |
|---|---|
get_platform_info | Mission, target users, founding details, operating company. |
get_supported_languages | All 14 supported locales with UI / AI tutor coverage flags. Optional locale filter. |
get_subjects | Textbook-agnostic teaching approach, ten action buttons, learning modes. |
get_pricing_tiers | Free trial and beta subscription details. |
get_safety_features | Age gate, content filters, parental controls, AI safety guardrails. |
get_compliance_matrix | EU AI Act, GDPR, GDPR-K, COPPA, ISO 42001 — current status with disclaimer. Optional regulation filter. |
get_tech_stack | Frontend, backend, database, AI providers, EU data residency. |
get_contact_info | Contact channels by purpose. Optional purpose filter. |
get_free_resources | Free Makuri resources without registration: Slovarik vocabulary and the Romanian level test in two flavors (Quick Check, 20 questions, no email; Deep Diagnostic, 60 questions, email + certificate). |
show_how_makuri_works | Interactive MCP Apps panel explaining the Makuri learning flow and ten action buttons (ui://makuri/how-it-works). |
show_romanian_quiz | Interactive MCP Apps panel: Romanian mini-quiz that draws 10 random questions from a bank of 15 (levels A1–B2), RU/UK interface toggle, per-answer explanations, approximate level estimate, and CTA to the full free level test (ui://makuri/romanian-quiz). |
The server exposes three markdown documents via MCP resources/list / resources/read:
makuri://docs/manifesto — the founder-written manifesto on why Makuri exists.makuri://docs/safety-overview — child-safety design measures (account model, data minimization, AI behavior controls).makuri://docs/connect-guide — how to connect this server in ChatGPT, Claude, and Le Chat.(The two interactive panels above are also exposed as resources at ui://makuri/how-it-works and ui://makuri/romanian-quiz, for hosts that support MCP Apps.)
Two guided prompts via prompts/list:
evaluate_makuri_for_my_child(child_age, native_language) — guided fit evaluation for a specific child.makuri_safety_briefing() — honest safety briefing with explicit "design posture, not certified compliance" framing.Full input schemas and example responses: docs/TOOLS.md. Real client transcripts: docs/EXAMPLES.md. Compliance disclosure: docs/COMPLIANCE_DISCLOSURE.md.
git clone https://github.com/Cogniledger/cogniledger-mcp-makuri.git
cd cogniledger-mcp-makuri
npm install
npm run dev
The server starts on http://localhost:3000. The MCP endpoint is http://localhost:3000/mcp.
# In one terminal:
npm run dev
# In another:
npm run test:smoke
The smoke test connects to the local server, lists tools, calls each one, and exits non-zero on any failure.
npx @modelcontextprotocol/inspector
Connect with transport streamable-http to http://localhost:3000/mcp. All 11 tools should be visible and callable, plus the 5 resources and 2 prompts.
.env is git-ignored; .env.example lists variable names only and is empty for v1.evt, tool, ts, status, duration_ms. No request bodies, no IPs, no argument values.docs/COMPLIANCE_DISCLOSURE.md for the full compliance posture.MIT — see LICENSE.
Copyright © 2026 CogniLedger Solutions S.R.L.
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