CogniLedger MCP Server — Makuri showcase

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.

Production endpoint: https://mcp.cogniledger.eu/mcp
License: MIT
Repository: github.com/Cogniledger/cogniledger-mcp-makuri
Contact: leonid@cogniledger.eu

What this server is

Public, unauthenticated, read-only
11 tools returning static metadata (no database queries against user data), including 2 interactive MCP Apps panels that render inline in supporting hosts
3 markdown resources (manifesto, child-safety overview, connect guide) and 2 guided prompts
Designed to be called by AI assistants — Claude Desktop, Le Chat (Mistral), Cursor, ChatGPT Apps SDK, and any other MCP-capable client

What this server is not

It is not the Makuri product. End users of Makuri (children, parents) interact with makuri.eu, not this MCP server.
It does not expose user data, PII, IP addresses, behavioral analytics, or any data derived from end-user activity.

Connect

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

config.json

{
  "mcpServers": {
    "cogniledger-makuri": {
      "url": "https://mcp.cogniledger.eu/mcp"
    }
  }
}

Restart Claude Desktop. The tools appear under the connector picker.

Le Chat (Mistral)

In Le Chat settings, add a new MCP connector:

Name: CogniLedger — Makuri
Transport: streamable-http
URL: https://mcp.cogniledger.eu/mcp

Cursor

Edit ~/.cursor/mcp.json:

config.json

{
  "mcpServers": {
    "cogniledger-makuri": {
      "url": "https://mcp.cogniledger.eu/mcp"
    }
  }
}

Tools

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`).

Resources

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.)

Prompts

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.

Local development

bash

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.

Smoke test

bash

# 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.

MCP Inspector

Terminal

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.

Security and compliance

No secrets in the repository. .env is git-ignored; .env.example lists variable names only and is empty for v1.
No outbound API calls, no database queries, no authentication. v1 is pure static-data read.
Per-tool structured logging emits one JSON line per invocation with five fields only: evt, tool, ts, status, duration_ms. No request bodies, no IPs, no argument values.
See docs/COMPLIANCE_DISCLOSURE.md for the full compliance posture.

License

MIT — see LICENSE.