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Enable structured AI-human messaging and Q&A orchestration through Telegram.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Oracle-MCP" yet — see the docs or source repo.
Design a workflow for Oracle-MCP: when the main agent cannot decide on a database migration plan, first ask a subagent for two alternatives; if risk remains, escalate the question to an on-call human engineer via Telegram and summarize the final recommendation.
A clear message-routing workflow including subagent queries, human escalation, response aggregation, and decision points.
Define a message structure for Oracle-MCP that lets AI agents send questions to humans, receive answers, and track priority level, context, response status, and operator. Output it as a JSON Schema.
An implementable message schema and state-flow description for building a standardized communication bus.
Create a set of Telegram notification templates for Oracle-MCP: when an AI agent needs human confirmation, automatically send a question summary, impact scope, candidate answers, and a reply entry point, with wording for different urgency levels.
Notification templates for multiple urgency levels that help humans quickly understand, reply, and track resolution.
Let AI perform calculations, search knowledge, and handle basic email tasks.
Help AI agents navigate, search, and understand codebases and change history.
Access Oracle databases for schema exploration, query execution, and performance analysis.
Connect AI assistants to Telegram to access chats, messages, and automate actions.
Connect to the mcp API via MCP to extend AI tool capabilities.
Build, debug, and manage software tasks with natural language across LLMs.