OraViz MCP
Related Servers
Alternatives to OraViz MCP
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceEnables AI applications to run SQL queries and retrieve results from Oracle Database.8-
- FlicenseNot gradedqualityBmaintenanceEnables AI chatbots to securely answer natural-language questions against Oracle databases by discovering metadata, generating and validating read-only SQL, executing with limits, masking sensitive data, and logging all activity.-
- FlicenseNot gradedqualityBmaintenanceEnables read-only exploration of Oracle databases through natural language, providing schema inspection and safe bounded SQL query execution.-
- FlicenseNot gradedqualityDmaintenanceEnables AI-powered database operations on Oracle Autonomous Database via natural language, including SQL translation, schema exploration, and API orchestration.4-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to safely inspect Oracle Database schemas, objects, and PL/SQL source with a strict read-only guard, without ever modifying data.10 npmMIT
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to connect to Oracle databases for schema exploration, PL/SQL source inspection, and read-only SQL queries, with optional write operations when explicitly enabled.-
TDQS
Scored across 7 tools
Most tools target clearly distinct operations, but a few boundaries require careful reading: create_chart and execute_query both run SQL, and get_table_details and get_table_schema both describe table metadata. The descriptions clarify the outputs enough that an agent should usually pick correctly.
All tool names follow a consistent snake_case verb_noun pattern: execute_query, list_tables, get_table_schema, sample_table_data, get_table_details, profile_table, create_chart. The naming is predictable and uniform across the set.
Seven tools is well-scoped for an Oracle exploration and visualization server. Each tool serves a distinct discovery or charting purpose without unnecessary bloat or missing core functionality.
The server covers the full exploration-to-visualization workflow: listing objects, inspecting schema, sampling data, profiling columns, running queries, and creating charts. Minor gaps exist, such as no table DDL viewer or chart configuration options, but an agent can accomplish the intended tasks without dead ends.