CogniLedger Makuri MCP MCP server

A public, read-only MCP server operated by CogniLedger that exposes metadata about the Makuri EdTech platform. It provides tools to retrieve information on mission, supported languages, teaching approach, pricing, safety features, compliance posture, tech stack, contact channels, and free public resources. It serves as a reference deployment for production MCP patterns under EU compliance constraints.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by CogniLedger Solutions S.R.L.

MCP endpoint (Streamable HTTP)

https://mcp.cogniledger.eu/mcp

Vendor documentation

What you can do with it

Retrieve platform mission and target user details
Check supported languages and AI tutor coverage
View pricing tiers and free resource availability
Review safety features and EU AI Act compliance status

Tools advertised by the last live check:

get_platform_info
get_supported_languages
get_subjects
get_pricing_tiers
get_safety_features
get_compliance_matrix
get_tech_stack
get_contact_info
get_free_resources
show_how_makuri_works
show_romanian_quiz

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http cogniledger-makuri-mcp https://mcp.cogniledger.eu/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add cogniledger-makuri-mcp --url https://mcp.cogniledger.eu/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable cogniledger-makuri-mcp in your MCP settings.

Cursor configuration

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

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "cogniledger-makuri-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.cogniledger.eu/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start cogniledger-makuri-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "cogniledger-makuri-mcp": {
      "type": "http",
      "url": "https://mcp.cogniledger.eu/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http cogniledger-makuri-mcp https://mcp.cogniledger.eu/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

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

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

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

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