Orionbelt Analytics
UnclaimedOntology-based MCP server that analyzes database schemas (PostgreSQL, Snowflake, ClickHouse, Dremio) and generates RDF/OWL ontologies with SQL mappings for fan-trap-free Text-to-SQL.
Install
claude mcp add orionbelt-analytics http://localhost:9000/mcpSet up this server
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27 of 27 tools
Documented tools (27)
From project documentation. A server handshake does not verify each tool’s description or behavior.
add_rdf_knowledge
Add custom metadata triples to the RDF store
apply_semantic_names
Apply LLM-suggested semantic names and descriptions to ontology
cleanup_workspace
Delete all workspace files for the current connection and start fresh
connect_database
Connect to any supported database using .env credentials
discover_schema
Analyze schema structure with automatic GraphRAG + ontology generation
download_artifact
Download ontology or R2RML mapping as a Turtle file
execute_sql_query
Execute SQL with OBQC validation, security checks, and fan-trap detection
generate_chart
Generate Plotly charts (bar, line, scatter, heatmap) with MCP-UI rendering
generate_ontology
Generate RDF/OWL ontology from schema with SQL mapping annotations
get_semantic_model
Retrieve a stored semantic model by name
get_table_details
Get detailed column, key, and constraint info for a specific table
GraphRAG
graphrag_find_join_path
Discover join paths between tables via graph traversal
graphrag_query_context
Get optimized context for SQL generation (85-95% token reduction)
graphrag_search
Semantic search + schema overview (auto-initialized by discoverschema)
list_schemas
List available schemas in the connected database
list_semantic_models
List all stored semantic models for the current connection
load_my_ontology
Load a custom .ttl ontology file from an import folder
measurable_from
Measure-capable tables for an anchor grain (one-to-many closure)
plan_composite_query
Advise a fan-trap-safe Composite Fact Layer (UNION ALL) decomposition
query_sparql
Execute SPARQL queries (SELECT, ASK, CONSTRUCT — auto-detected)
reachable_from
Dimension-capable tables for an anchor grain (many-to-one closure)
reset_cache
Clear cached schema and ontology data for the current session
sample_table_data
Preview table data with row limit and injection protection
save_semantic_model
Save a semantic model (e.g., OBML YAML) to the workspace
store_ontology_in_rdf
Persist ontology in Oxigraph for SPARQL access
suggest_semantic_names
Detect abbreviations and cryptic names for business-friendly renaming
Tool change history
FAQ
Questions about Orionbelt Analytics MCP Server
- How do I connect Orionbelt Analytics MCP Server to Claude?
- The listing records `claude mcp add orionbelt-analytics http://localhost:9000/mcp` as its setup step. Run it, then follow the repository's instructions for the client configuration; the listing names Claude Desktop, Claude Code, ChatGPT as compatible clients.
- Is Orionbelt Analytics MCP Server free?
- MCPVault has not verified a licence for this server. Check the upstream terms and pricing before use; connected APIs may require a paid account.
- What can Orionbelt Analytics MCP Server do?
- Orionbelt Analytics MCP Server documents 27 tools to the agent, including add_rdf_knowledge, apply_semantic_names, cleanup_workspace. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.