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 — eight tools covering mission, languages, teaching approach, pricing, safety, compliance posture, tech stack, and contact channels.

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
Eight tools returning static metadata (no database queries against user data)
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):

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

Restart Claude Desktop. The eight 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:

{
  "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.

Full input schemas and example responses: docs/TOOLS.md. Real client transcripts: docs/EXAMPLES.md. Compliance disclosure: docs/COMPLIANCE_DISCLOSURE.md.

Local development

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

# 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

npx @modelcontextprotocol/inspector

Connect with transport streamable-http to http://localhost:3000/mcp. All eight tools should be visible and callable.

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.

Makuri Showcase (CogniLedger)