"oracle" matching MCP servers:

Enables AI agents to safely inspect Oracle Database schemas, objects, and PL/SQL source with a strict read-only guard, without ever modifying data.

Enables 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.

Provides AI assistants with secure, structured access to Oracle Database through MCP, enabling SQL execution, metadata exploration, and stored procedure execution.

3D printing filament and materials knowledge MCP server. Gives LLMs authoritative access to 7,000+ filaments and curated material science knowledge.

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

A stateful MCP server that remembers what your AI agent has already seen.

An MCP server that verifies npm and PyPI packages before installation, checking for existence, known vulnerabilities, OpenSSF scorecard, and typosquatting, returning an ALLOW/WARN/BLOCK verdict.

Provides real-time LLM pricing and availability data as an MCP server, enabling AI agents to make optimal model routing decisions at inference time with cited pricing sources.

MCP server for automated architectural mapping, security vulnerability detection, ML asset tracking, and code metrics in local repositories.

Enables Oracle Database schema introspection and SQL execution over stdio, letting MCP hosts list tables, describe columns, and run SQL—read-only by default with opt-in writes.

A read-only, audited, and SQL-guarded Model Context Protocol server for Oracle Database that lets MCP clients query Oracle databases safely with multi-layer security guards.

Enables consulting oracle AI models (Codex or Claude) for expert reasoning and analysis on complex problems, architectural decisions, and design tradeoffs through a unified CLI interface.

An MCP server that connects to Oracle databases using sqlplus, enabling SQL queries, schema exploration, and DDL/DML execution through natural language.

Execute SQL queries, browse schemas, and analyze Oracle Database performance through an AI-compatible Model Context Protocol server.

Provides flexible access to Oracle databases for AI assistants like Claude, supporting SQL queries across multiple schemas with comprehensive database introspection capabilities.

Enables interaction with Oracle databases through MCP by executing SELECT queries, describing table structures, and listing available tables with secure, read-only access.

MCP server for accessing Oracle databases, enabling schema exploration, query execution, and performance analysis.

Enables AI assistants to inspect and query Oracle Forms modules (blocks, triggers, program units, etc.) without Forms Builder, supporting reverse engineering, code review, and modernization.

A Model Context Protocol server that provides contextual Oracle database schema information, enabling AI assistants to understand and work with large databases containing thousands of tables.

Enables MCP clients to connect to Oracle 11g databases in thick mode, supporting multiple named connections for listing tables, describing schemas, and running row-limited read-only queries. Write operations such as INSERT, UPDATE, DELETE, and DDL stay disabled unless explicitly enabled and confirmed.