io.github.ralfbecher/orionbelt-analytics

Ontology-based MCP server for database schema analysis and RDF/OWL ontology generation

46 GitHub

No known CVEs

No license

Actively maintained

Last commit 3d ago

Works with most clients

Transport: stdio, sse, http

0 tools

Grade F

MCPpedia last refreshed this data 1d ago

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io.github.ralfbecher/orionbelt-analytics is an MCP server that ontology-based MCP server for database schema analysis and RDF/OWL ontology generation. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 40/100 on MCPpedia's security, maintenance and efficiency rubric.

Data Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "OrionBelt-Analytics": {
      "args": [
        "mcp-remote",
        "http://localhost:9000/mcp",
        "--transport",
        "http-only"
      ],
      "command": "npx"
    }
  }
}

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What io.github.ralfbecher/orionbelt-analytics does

OrionBelt Analytics is an MCP server that analyzes relational database schemas and generates RDF/OWL ontologies with embedded SQL mappings. It provides relationship-aware Text-to-SQL with automatic fan-trap prevention, GraphRAG for intelligent schema discovery, and interactive charting -- all accessible through any MCP-compatible AI client.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

40/100across 5 weighted dimensions

How we score →

0255075100

−60

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

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Frequently Asked Questions

Is io.github.ralfbecher/orionbelt-analytics safe to use?: io.github.ralfbecher/orionbelt-analytics has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.ralfbecher/orionbelt-analytics?: io.github.ralfbecher/orionbelt-analytics supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.ralfbecher/orionbelt-analytics?: io.github.ralfbecher/orionbelt-analytics is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.ralfbecher/orionbelt-analytics actively maintained?: io.github.ralfbecher/orionbelt-analytics is actively maintained — last commit was 3 days ago. It has 46 GitHub stars.

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Community

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

{ "mcpServers": { "OrionBelt-Analytics": { "args": [ "mcp-remote", "http://localhost:9000/mcp", "--transport", "http-only" ], "command": "npx" } } }

Frequently Asked Questions

Is io.github.ralfbecher/orionbelt-analytics safe to use?

io.github.ralfbecher/orionbelt-analytics has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.ralfbecher/orionbelt-analytics?

io.github.ralfbecher/orionbelt-analytics supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.ralfbecher/orionbelt-analytics?

io.github.ralfbecher/orionbelt-analytics is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.ralfbecher/orionbelt-analytics actively maintained?

io.github.ralfbecher/orionbelt-analytics is actively maintained — last commit was 3 days ago. It has 46 GitHub stars.