MCP Mermaid ER Server
Related Servers
Alternatives to MCP Mermaid ER Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceEnables querying PostgreSQL and MySQL databases using natural language, with RESTful endpoints for listing tables, describing schemas, and executing read-only queries.1-
- FlicenseNot gradedqualityDmaintenanceActs as a secure bridge connecting PostgreSQL databases to AI models, enabling natural language querying, schema analysis, and controlled write operations with multi-layer security.-
- FlicenseNot gradedqualityDmaintenanceEnables AI to query and manage PostgreSQL and MongoDB databases through natural language. Supports automatic schema discovery, safe data operations, and network-wide database access with zero-configuration deployment.-
- AlicenseNot gradedqualityDmaintenanceEnables natural language querying of PostgreSQL databases with intelligent SQL generation using LLMs.1Apache 2.0
- AlicenseNot gradedqualityBmaintenanceGives AI coding assistants, IDEs, and CI full PostgreSQL schema intelligence from an offline snapshot, enabling linting, query validation, migration safety analysis, and foreign key graph exploration without ever exposing database credentials.35BSD 2-Clause "Simplified"
- AlicenseNot gradedqualityDmaintenanceEnables natural language interaction with PostgreSQL databases, supporting query execution, schema management, data operations, user management, and database maintenance with secure remote access via HTTP/SSE transport.MIT
TDQS
Scored across 12 tools
Each tool targets a distinct action or resource: read operations are separated into entities, relationships, and diagram parsing, while generate_sql is clearly distinct from create_schema since one only outputs DDL and the other executes it. The API server lifecycle is also cleanly split into start, stop, and endpoint inspection. No two tools appear likely to be confused.
All tool names follow a consistent lower_snake_case verb_noun convention. The verbs clearly indicate the action being taken, such as list, get, validate, generate, create, drop, start, and stop. The minor use of both list and get for read operations is not a meaningful inconsistency.
With 12 tools, the server is well-scoped for its combined purpose of parsing Mermaid ER diagrams, managing PostgreSQL schema, and controlling an API server. Each tool supports a distinct part of the workflow without unnecessary duplication. The count fits comfortably within the ideal range.
The core lifecycle is well covered: parse and validate the diagram, inspect entities and relationships, generate and execute SQL, drop the schema, and start/stop the API server. Minor gaps exist, such as no tool for incremental schema updates or altering existing tables, but these are not essential to the stated purpose. Overall, the surface is complete enough for the primary workflow.