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by BaoxingZhang • Search & Retrieval
An MCP-compliant server that exposes and manages prompt templates stored in a Notion database for use by agents and clients.
Fetch and list all available prompt templates stored in a Notion database to select appropriate prompts programmatically.
Compose prompts by injecting user input and dynamic variables (current date/time, prompt name) into Notion-based templates before sending them to an LLM or external API.
Search, filter, and retrieve prompts by category, name, or full-text search and benefit from caching to reduce Notion API calls.
This server implements the Model Context Protocol (MCP) to provide access to prompt templates saved in a Notion database. It supports listing, searching, and retrieving prompts by name or ID, composing prompts with user input and time/name variables, grouping by category, and caching to reduce API calls. Configuration is via environment variables or CLI arguments and it supports multiple prompt-handling modes (return only, process locally, or call an external API). The project is open-source and distributed under the MIT license.
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