MCP server that connects AI applications to relational databases via object-relational mapping (ORM)
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"ormcp-server","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# ORMCP Server **Make your relational data AI ready** ORMCP Server is a Model Context Protocol (MCP) server that enables AI assistants to interact with relational databases using intuitive, object-oriented operations in JSON format. ## What is ORMCP Server? ORMCP Server bridges the gap between AI applications and relational databases. It leverages the Gilhari microservice framework and JDX ORM to provide seamless database access through the standardized MCP protocol. Instead of writing SQL, AI assistants like Claude and Gemini can work with your data using natural language and high-level object operations. ## Key Features - **🌍 Database Agnostic** - Works with any JDBC-compliant database (PostgreSQL, MySQL, Oracle, SQL Server, SQLite, etc.) - **✅ MCP Compliant** - Fully compatible with the Model Context Protocol standard - **🔄 Object-Relational Mapping** - JSON object operations transparently mapped to relational data - **🧾 Declarative ORM** - Define mappings using simple JDX grammar - **🚀 High Performance** - Optimized with connection pooling, caching, and minimal database trips - **🔒 Secure** - Domain model-specific operations with optional read-only mode ## Quick Start ### Installation ```bash pip install ormcp-server ``` **Existing Gemfury beta users:** If you previously installed via Gemfury, you can continue using that channel or switch to PyPI. Both are supported during the beta period. ### Accessing Full Package with SDK and Examples The source distribution includes everything you need to get started beyond the installable package itself — a curated subset of the Gilhari SDK and a ready-to-use example microservice. ```bash # Download source distribution from PyPI pip download --no-binary :all: ormcp-server # Extract it (use the appropriate version number) tar -xzf ormcp_server-*.tar.gz cd ormcp_server-*/ # Now you have access to: # - Gilhari_SDK/ Gilhari SDK essentials (libs, config, docs) # Note: JDX Us…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.