A framework for defining, managing, and applying prompt decorators to enhance interactions with LLMs
Prompt MCP server exists for a simple reason — assistants are far more useful when they can act on Prompt directly instead of describing what you should do. A framework for defining, managing, and applying prompt decorators to enhance interactions with LLMs.
Prompt Decorators introduces a standardized annotation system inspired by software design patterns that allows users to modify LLM behavior through simple, composable "decorators." By prefixing prompts with annotations like +++Reasoning, +++StepByStep, or +++OutputFormat, users can consistently control how AI models process and respond to their requests across different platforms and implementations.
Once Prompt is connected, these are the calls the assistant has available:
Roadmap — The roadmap for this project is outlined in the ROADMAP fileInstallation — You can install the package from PyPI https://pypi.org/project/prompt-decorators/:The server ships on PyPI as prompt-decorators, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Prompt's toolset — Roadmap, Installation — is a fair guide to whether it matches your workflow. It is maintained by Daniel Bentes; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Prompt's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Roadmap | The roadmap for this project is outlined in the [ROADMAP](https://synaptiai.github.io/prompt-decorators/roadmap/) file. |
| Installation | You can install the package from PyPI [https://pypi.org/project/prompt-decorators/](https://pypi.org/project/prompt-decorators/): |
{
"mcpServers": {
"prompt-decorators": {
"command": "uvx",
"args": ["prompt-decorators"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.