LLM context gets messy fast: notes, logs, issue threads, docs, research dumps, and tool descriptions all pile up until the useful signal is buried
LLM context gets messy fast: notes, logs, issue threads, docs, research dumps, and tool descriptions all pile up until the useful signal is buried under filler.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| auto | Prose uses normal compression; supported code uses code-comments. |
| prose | Treat the whole input as natural language. |
| code-comments | Preserve executable code exactly and compress only comments/docstrings. |
| raw | Return the file unchanged with stats. |
| refuse | Reject file compression. |
Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Inbox intelligence — search, read, draft and send Gmail through your assistant with OAuth auto-setup.
Read and write Jira, Confluence, Bitbucket, JSM and Compass from your AI client — with your own permissions.
Read and send Telegram messages through your assistant — chats, channels and history via the client API.
Enables Discord bot integration with Model Context Protocol (MCP) compatible applications like Claude Desktop.