oracle-mcp-server-helper
OfficialEnable live Oracle schema tools for agents
Authororacle-devrel
Version1.0.0
Installs0
System Documentation
What problem does it solve?
You need a safe, consistent way for an LLM agent to inspect and query a live Oracle database schema during inference, without forcing the entire project to depend on an external MCP server transport.
Core Features & Use Cases
- LangChain tool scaffolding: Creates BaseTool subclasses for
list_tables,describe_table,run_sql, andvector_searchthat call Oracle viaoracledb. - Configurable tool safety: Supports
sql_modewith a defaultread_onlyposture and guardrails against mutating SQL unless explicitly enabled. - Agent-ready tool registry: Provides a cached
tool_registry.pyso an agent loop can load tools efficiently with a stable schema surface.
Quick Start
Configure your database connection in target_dir/.env (DB_DSN, DB_USER, DB_PASSWORD) and ask your agent tier to bind the tools returned by target_dir/src/<package_slug>/tool_registry.py.
Dependency Matrix
Required Modules
oracledb>=2.5langchain-core>=0.3langchain-community>=0.3
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: oracle-mcp-server-helper Download link: https://github.com/oracle-devrel/oracle-ai-developer-hub/archive/main.zip#oracle-mcp-server-helper Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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